Serverless Cloud Computing Will Drive Explosive Growth In AI-Based Innovation – Forbes

As we look back at the past decade of innovation in the private and the public cloud space, led by Amazon, Microsoft, Google and IBM, the most significant emerging trend we see is the drive toward serverless computing and the appliance model.

In the initial days of cloud computing, companies used cloud as a substitute for their colocation facilities and/or data centers. There were certain incremental benefits to this approach. One benefit was moving capital expenditure away from an equipment model to an operational model. Another was arriving at a service model where the cloud providers themselves take care of software updates, which was especially true with companies like Microsoft and Oracle. If you were using Microsoft software, for example, you wouldnt need to worry about the periodic operating system updates in managed instances of Windows server virtual machines.

As cloud computing has advanced, more companies have made the transition to the cloud-based platform as a service model (PAAS), which delivers computing and software tools over the internet. PaaS can be scaled up or down as needed, which reduces up-front costs and allows you to focus on developing software applications instead of dealing with hardware oriented tasks.

To support this shift toward the PaaS cloud, public cloud companies have begun heavily investing in building or acquiring serverless components that have pre-built unit functionality. These out-of-the-box tools allow organizations to test new concepts, iterate and evaluate without taking on high risk or expense. In the past, only large companies with considerable resources could afford to experiment with AI-based innovation. Now startups or small teams within larger enterprises have access to cloud-based, prepackaged algorithms offering different AI models that can fast-track innovation.

Lets explore practical examples of how this trend helps democratize innovation in artificial intelligence by minimizing the time, money and resources needed to get started.

Resolving The Innovators Dilemma

Imagine your company makes kiosks or digital signage that is used by fast food chains. When customers pull up to a drive-through kiosk, they all receive the same menu choices. But what if the kiosk was smart enough to personalize recommendations? What if it could provide a suggested food and drink pairing based on the weather and the demographics of each customer?

If you wanted to investigate this idea several years ago, you would first write censor software to determine whether someone is within a certain distance of the kiosk. Then you would write censor software to detect weather information, followed by software for recognizing someones face and identifying their demographic information. Finally, you would write the program proposing food and drink options based on the gathered data.

The biggest challenge is that this process requires substantial time and money, and you have no guarantee that your idea will be viable in the end. Will the kiosk work as intended? Will the market be ready for it? Will your customers see value in it?

Now with cloud computing, you can explore your idea without a huge budget or team. The cloud facilitates innovation, not only from a technology standpoint, but also from a business, market validation and iteration perspective. The serverless public cloud infrastructure of all major providers Microsoft, Amazon and Google comes with ready-made components, like face-recognition tools and edge sensors that detect movement and weather conditions.

A software developer on your team could use these components to build a quick prototype and test it with a select group of potential customers for proof of concept. It would be feasible to create a minimum viable product in three to five months, roll it out to select locations, then use feedback to iterate on enhancements. If the concept doesnt work out for any reason, your sunk cost would be significantly lower than in the past.

Developing A Growth Mindset

In our company, we saw the value of this trend when our cloud-native legal e-discovery product started to gain traction in the market. We wanted to double down on our investments in cognitive analytics to learn continuously from the market and improve the customers experience of our solution. One of our big challenges was providing enough holistic case-related information to litigation attorneys upfront so they could see patterns and holes in the data and find relevant or responsive case documents faster.

In the old world without serverless cloud computing, we would have needed to invest in huge hardware and on-premises machine learning tools to even start working on a data science project. But in the new world, our data science team brainstormed specific algorithms that could be used to solve various problems, such as document clustering and term frequency-inverse document frequency, a popular natural language processing concept that helps summarize documents and identify highly relevant keywords in documents.

Because of our core competency in serverless cloud computing, our software engineering, data science and product teams could generate machine learning environments very quickly. We also werent starting from scratch but instead using the existing base algorithms and building on them, which made our iterations faster. Our teams could do both internal and external customer experience tests with different control groups before finalizing the solution that would move on to production. This level of agility in data science innovation would be almost impossible without serverless cloud components.

Serverless cloud computing makes innovation more affordable and accessible to all companies and teams regardless of size and resources. And with more innovation, we all benefit from the diversity of new ideas and options. The building blocks we need already exist in the serverless cloud; we dont need to spend our precious time and resources making them. All we have to do is figure out how to use them in creative ways to benefit our companies and our customers.

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Serverless Cloud Computing Will Drive Explosive Growth In AI-Based Innovation - Forbes

GoodFirms Reveals the Most Recommended Testing and Cloud Computing Service Providers – January 2020 – Yahoo Finance

WASHINGTON, Jan. 29, 2020 /PRNewswire/ --Today, businesses are evolving at a rapid speed. The organizations are integrating the software to get assistance in solving the business challenges to survive and thrive in the future. As the demands have increased in software, most of the software development industries are adopting the testing services to make sure that the web or mobile apps function perfectly as per the client's requisites. Therefore, GoodFirms.co has revealed the latest list of top testing service providers based on several qualitative and quantitative factors.

The service seekers can get in touch with right A/B, QA, and testing service providers at GoodFirms These leading companies are recognized to undertake application software testing by putting a major emphasis on quality control, detecting errors and making the correction, while focusing on maximizing client's cost reduction.

Take a quick look at the Best Software Testing Firms listed at GoodFirms:

Top Software Testing Companies:

a1qa, QA Mentor, DeviQA, ImpactQA, Hidden Brains Infotech, Brights, Zymr, Inc., QualityLogic, UTOR - QA and Testing partner, Vyshnavi Information Technologies (India) Pvt. Ltd.

https://www.goodfirms.co/software-testing-companies

Top Software Testing Companies in the USA:

LambdaTest, KiwiQA Services, SimbirSoft, Algoworks, Redwerk, Alpha Information Systems India Pvt. Ltd., Nexsoftsys, Aryavrat Infotech Inc., QAwerk, AwsQuality

https://www.goodfirms.co/software-testing-companies/usa

Top A/B Testing Companies:

TechAffinity, Inc., Arsenaltech Pvt Ltd, Redian Software, Optimizely, Dynamic yield, Qubit, Think360 Studio, Kameleoon, Codoid Software Testing Company, Visual Website Optimizer (VWO).

https://www.goodfirms.co/software-testing-companies/ab

Top QA Testing Companies:

IntexSoft, ExpertsFromIndia, Algoworks, Cigniti Technologies Inc., Ciklum, Belatrix Software, Testlio, Testrig Technologies, Vascar Solutions, Kualitatem Inc.

https://www.goodfirms.co/software-testing-companies/qa

At the same time, GoodFirms has also published the newly evaluated catalog of top cloud computing service Providers for delivering optimal solutions from consulting, architecture, design, and implementation to management-monitoring.

Cloud computing has become the leading disruptive trends and strategic technologies in this era that provides a new IT delivery model with several benefits. It has also made security, risk management, and maintaining your IT systems more manageable.

Here is the list of Top Cloud Providers at GoodFirms:

Top Cloud Computing Companies:

Zymr, Inc., Ballard Chalmers, Cyber Infrastructure Inc., ServiceNow, Salesforce, IBM, Ocatall IT Solutions, ExpertsFromIndia, ELEKS, Seamgen

https://www.goodfirms.co/cloud-computing-companies

Top Cloud Computing Companies in the United States:

IT Svit, Vrinsoft Technology, Endive Software, Navtech, Tudip Technologies Pvt. Ltd., Biz4Solutions LLC, X-Byte Enterprise Crawling, WebCreta Technologies, Neebal Technologies, Octobot.

https://www.goodfirms.co/cloud-computing-companies/usa

Best Hybrid Cloud Computing Companies:

Parangat Technologies, Microsoft, Logicalis, Netmagic, PC Solutions, ServerCentral, Virtustream, De Facto Infotech, PCM Canada, Cetrom

https://www.goodfirms.co/cloud-computing-companies/hybrid

Story continues

Top Software as a Service (SaaS) Companies:

RESTGroup, Trigent, Kezber, Carmatec Global, Mono, Fordway, Doublehorn, Reckonsys Tech Labs Private Limited, RightScale, Qualys.

https://www.goodfirms.co/cloud-computing-companies/saas

Washington based GoodFirms is a leading and well renowned B2B research, ratings, and reviews platform. It aims to associate the service seekers with the right partners that fit in their budget and needs. The analyst team of GoodFirms evaluates each firm with multiple research factors. The research process includes three main criteria that are Quality, Reliability, and Ability.

These elements are subdivided into several metrics to scrutinize every firm, such as determining their years of experience in their proficiency, past and present portfolio, online presence and reviews received from their patrons. Thus, focusing on the overall research process, each of them is given a set of scores that are out of a total of 60. Hence, considering these points, all the service providers are listed in the list of top development companies, best software and other organization from various industries.

Additionally, GoodFirms invites the service providers to take part in the research process and present the work done by them. Thus, obtain an opportunity to Get Listed in the list of top companies as per the categories. Securing a strong position among the catalog of best companies at GoodFirms will increase the chances of getting in touch with new prospects, increase productivity, and enhance the business globally.

About GoodFirms:

GoodFirms is a Washington, D.C. based research firm that aligns its efforts in identifying the most prominent and efficient testing companies that deliver results to their clients. GoodFirms research is a confluence of new age consumer reference processes and conventional industry-wide review & rankings that help service seekers leap further and multiply their industry-wide value and credibility.

Rachael Ray

(360) 326-2243

rachael@goodfirms.co

SOURCE GoodFirms

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GoodFirms Reveals the Most Recommended Testing and Cloud Computing Service Providers - January 2020 - Yahoo Finance

Will Microsoft’s Cloud Computing Juice Its Earnings Results? – The Motley Fool

While Microsoft(NASDAQ:MSFT) is best known for its operating system and software products, the company's resurgence in recent years has been largely attributed to its successful foray into cloud computing. This success helped push Microsoft's market cap above $1 trillion in 2019 while driving its stock up by more than 55% last year, easily outpacing the 29% gains of the S&P 500.

The company's cloud computing segment will likely be in the limelight once again, and many market watchers expect the segment's sterling growth to continue when Microsoft reports the financial results of its fiscal 2020 second quarter after the market close on Wednesday, Jan. 29.

Image source: Microsoft.

It's been just a decade since Microsoft introduced its Azure Cloud in February 2010, and the platform's ascent has been nothing short of phenomenal. Microsoft quickly became the second-largest cloud provider, behind just AmazonWeb Services (AWS), and continues to grow at a faster rate.

In its fiscal first quarter, Microsoft said its commercial cloud generated revenue of $11.6 billion, up 36% year over year. The company's intelligent cloud segment grew to $10.8 billion, up 27%, while Azure grew a more impressive 59% compared to the prior-year quarter.

While the cloud is currently part of a trifecta of Microsoft businesses, there are those on Wall Street who think this is just the beginning. Late last year, Stifel Nicolaus analyst Brad Reback pointed out that the transition to the cloud is still in the early stages and notes that Azure already has a run rate of $17 billion. With Microsoft's recent wins like the $10 billion JEDI contract, cloud computing could become its biggest revenue generator by 2023.

Look for more strong gains from the cloud segment.

Another factor in Microsoft's strong growth has been the company's ability to generate recurring revenue from the sale of subscriptions to its suite of software products like Office. Microsoft's productivity and business processes segment has been a consistent performer, with revenue of $11.1 billion, up 13% year over year in the first quarter. This included revenue from Office commercial products and cloud services that climbed 13% year over year, while Office 365 commercial revenue climbed 25%.

Microsoft's more personal computing segment grew at a much slower rate, up just 4% year over year, but still generated revenue of $11.1 billion.

Microsoft is forecasting total revenue in a range of $35.15 billion to $35.95 billion, which would represent year-over-year growth of about 9% at the midpoint of its guidance. This would represent a deceleration from the 14% growth the tech giant achieved last quarter. Analysts' consensus estimates are calling for revenue of $35.7 billion -- near the high end of management's guidance -- or growth of about 10%,while expecting earnings per share of $1.32, an increase of 20%.

It's important to note that Microsoft's management has historically been conservative with its guidance and has beaten its internal estimates for several consecutive quarters. Given that history, it wouldn't be much of a surprise if Microsoft were to exceed its own guidance yet again.

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Will Microsoft's Cloud Computing Juice Its Earnings Results? - The Motley Fool

Middle East Cloud Applications Market Size is Expected to Grow from USD 2.0 Billion in 2019 to USD 4.5 Billion by 2024, at a CAGR of 17.5% -…

The "Middle East Cloud Applications Market by Application (ERP, CRM, HCM, SCM, and Business Intelligence and Analytics), Organization Size, Vertical (BFSI, Manufacturing, and Telecommunications), and Country - Forecast to 2024" report has been added to ResearchAndMarkets.com's offering.

Initiatives by governments and corporates to promote emerging technologies, such as cloud and analytics, to propel the Middle East cloud applications market growth

In this region, the Banking, Financial Services, and Insurance (BFSI), government, and energy and utilities verticals are shifting toward the adoption of cloud computing services rapidly. According to a survey done by Cisco, cloud traffic is expected to surge between 2016 and 2021. Moreover, the region is receiving investments for infrastructure by leading market players. The increased awareness of cloud applications, lower operational costs, scalability, and disaster recovery are a few factors driving the adoption of cloud computing in this region. Major US-based tech companies such as Google, Microsoft, and AWS have shown interest and launched their data centers in the region.

Among applications, the CRM segment to hold a significant market share in 2019

Cloud Enterprise Resource Management (ERM) solutions are deployed over the cloud environment and make the use of cloud computing platforms and services to provide businesses with flexible business process transformations. ERM implementation revolutionizes management across large enterprises and Small and Medium-sized Enterprises (SMEs), helping them improve their operations and making them manageable and more transparent. Vendors offer cloud-hosted ERM solutions that efficiently help organizations manage processes across functions, such as finance, marketing, sales, operations, and human resource. The major solution suppliers offer supporting services, such as integration and training, along with support and maintenance, for the smooth transition and implementation of cloud ERM solutions.

Under verticals, the BFSI vertical to hold the highest market share in 2019

The Banking, Financial Services, and Insurance (BFSI) vertical is adopting digitalization initiatives at a rapid pace to meet the rising customer expectations and sustain the highly competitive market. Cloud-based services help vendors efficiently meet IT needs, while they also assist in saving Capital Expenditure (CAPEX) and Operating Expenditure (OPEX). The banking sector needs to store and manage customers' confidential information, such as credit card details, transaction details, and personal information. This data needs to be securely stored as losing such data might result in customer loss and may create a negative brand value in the market. This is leading to the growing adoption of cloud computing services.

The UAE to record the highest growth rate during the forecast period

The adoption of cloud applications in the United Arab Emirates (UAE) has grown significantly in the last decade. In December 2018, according to a report developed by Dubai Silicon Oasis Authority (DSOA) and IBM in collaboration with Thomson Reuters, 70% of startup enterprises are currently leveraging the benefits of cloud computing services and are planning to spend more on cloud services in the next 2 years. The major challenges faced by them are data privacy concerns, compliance and regulatory issues, and infrastructure integration problems. To deal with these challenges, major cloud vendors are opening their data centers and business operations in this country due to the increasing customer potential and rising digital transformation initiatives. Several cloud players are establishing their data centers in the Middle East to accelerate the adoption of cloud computing and reach out to a broad customer base in the UAE.

Key benefits of buying the report

The report will help the market leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall Middle East cloud applications market and its subsegments. This report will help stakeholders understand the competitive landscape and gain more insights to position their businesses better and plan suitable go-to-market strategies. It also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.

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Key Topics Covered:

1 Introduction

1.1 Objectives of the Study

1.2 Market Definition

1.3 Market Scope

1.4 Years Considered for the Study

1.5 Currency Considered

1.6 Stakeholders

2 Research Methodology

2.1 Research Data

2.2 Market Breakup and Data Triangulation

2.3 Market Size Estimation

2.4 Assumptions for the Study

2.5 Limitations of the Study

3 Executive Summary

4 Premium Insights

4.1 Attractive Opportunities in the Middle East Cloud Applications Market

4.2 Middle East Cloud Applications Market, By Application (2019 Vs. 2024)

4.3 Middle East Cloud Applications Market, By Organization Size (2019 Vs. 2024)

4.4 Middle East Cloud Applications Market, By Vertical (2019 Vs. 2024)

5 Market Overview

5.1 Introduction

5.2 Market Dynamics

5.2.1 Drivers

5.2.2 Restraints

5.2.3 Opportunities

5.2.4 Challenges

5.3 Regulatory Landscape

6 Middle East Cloud Applications Market, By Application

6.1 Introduction

6.2 Enterprise Resource Management

6.3 Customer Relationship Management

6.4 Human Capital Management

6.5 Supply Chain Management

6.6 Business Intelligence and Analytics

6.7 Collaboration and Content Management

6.8 Others

7 Middle East Cloud Applications Market, By Organization Size

7.1 Introduction

7.2 Large Enterprises

7.3 Small and Medium-Sized Enterprises

8 Middle East Cloud Applications Market, By Vertical

8.1 Introduction

8.2 Banking, Financial Services, and Insurance

8.3 Energy and Utilities

8.4 Government and Public Sector

8.5 Healthcare and Life Sciences

8.6 Manufacturing

8.7 Retail and Consumer Goods

8.8 Telecommunications

8.9 Other Verticals

9 Middle East Cloud Applications Market, By Country

9.1 Introduction

9.2 Saudi Arabia

9.3 United Arab Emirates

9.4 Qatar

9.5 Rest of Middle East

10 Competitive Landscape

10.1 Introduction

10.2 Competitive Scenario

10.2.1 New Product Launches

10.2.2 Acquisitions

10.2.3 Partnerships

10.2.4 Business Expansions

11 Company Profiles

11.1 Introduction

11.2 SAP

11.3 Microsoft

11.4 Oracle

11.5 Infor

11.6 Salesforce

11.7 Sage

11.8 IBM

11.9 Epicor

11.10 Ramco Systems

11.11 3i Infotech

11.12 Prolitus Technologies

11.13 IFS

11.14 QAD

For more information about this report visit https://www.researchandmarkets.com/r/5eyhdq

View source version on businesswire.com: https://www.businesswire.com/news/home/20200130005560/en/

Contacts

ResearchAndMarkets.comLaura Wood, Senior Press Managerpress@researchandmarkets.com For E.S.T Office Hours Call 1-917-300-0470For U.S./CAN Toll Free Call 1-800-526-8630For GMT Office Hours Call +353-1-416-8900

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Middle East Cloud Applications Market Size is Expected to Grow from USD 2.0 Billion in 2019 to USD 4.5 Billion by 2024, at a CAGR of 17.5% -...

Using the Cloud: Seven Top Security Threats to Know About – Infosecurity Magazine

It is often taken for granted that cloud solutions will become the default option for businesses in the next few years. Enterprises which decide to migrate their resources to the cloud indicate security as one of the major advantages of this solution (alongside scalability, cost optimization and fast deployment). Unfortunately, hackers are also turning their attention to the cloud, and there are several ways they can pose a serious threat to your operations. It is important to be aware of the problems that may occur in order to prevent them.

Top Security Issues for the Cloud

Lack of Awareness

Most threats to your cybersecurity are external, but to prevent them or deal with them you need your employees to be aware of potential issues. Well-trained employees are among the best investments you can make to improve your companys security, as attackers often rely on human error, lack of attention (or knowledge) or social engineering techniques to spread ransomware or steal credentials. Allocate the time and budget for appropriate training and make sure it is updated regularly. Everyone knows that a strange email from an unknown domain should be treated with suspicion, but how many people are aware that SharePoint or Skype can be used to attack their organization? Prevention is not only better than cure it is also cheaper.

Data Breaches

Data breaches or data leaks are among the top security concerns for all organizations, as they may result in losing even more than just data. Reputation, credibility, money and even customers are all at risk.

Data Loss (and No Backup)

Human error, an accident or a natural catastrophe can lead to permanent loss of data. Set the backup as one of your priorities and consider using an external disaster recovery center (DRC) to avoid such a situation.

Denial of Service (DoS) Attacks

Popular DoS (or distributed denial of service) attacks can shut down your services and make them unavailable to users. Attackers can block your systems with extensive traffic that your servers cannot cope with. If all cloud servers are affected, it is impossible for a company to manage their business.

Cryptojacking

This relatively new form of attack is becoming increasingly common. Cyber-criminals access your cloud computing resources and use cloud computing power to mine for crypto-currencies such as Bitcoin. Such an attack can be difficult to detect, as your systems still work, but are slower than usual. It is often mistaken for a processing power or network issue.

Hijacked Accounts

If a hacker gains access to your system through an internal staff account they can penetrate your virtual resources without being detected for a long time. As most widespread techniques for this kind of attack involve phishing emails and password cracking, it is vital to provide your employees with appropriate training. In addition, make sure that the minimal access rule is in place, so everybody can access only those applications, systems or databases that are necessary for them to do their jobs.

Non-Secure Applications

Even if your own system is secure, you can still be let down by external applications which may present a serious risk to your cloud security. Ensure that your cybersecurity team establishes whether an application is suitable for your network. Warn your employees not to download applications straight from the network before receiving approval from the IT team.

New Tech Means New Vulnerabilities

Knowledge is power. Once you are aware of potential threats to your cloud environment, you can take steps to prevent them. Ask your IT team to re-think your cybersecurity strategy and work on a new, updated plan. If you do not have in-house security experts, think about outsourcing your IT security (or cloud together with security if you have not migrated yet) to an external company experienced in delivering such solutions. Comarch is one of the biggest Polish IT companies delivering both software and an extensive portfolio of IT services. Trust in the best.

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Using the Cloud: Seven Top Security Threats to Know About - Infosecurity Magazine

Cloud Computing 2020: Five Key Trends – Datamation

Cloud computing has grown from emerging disrupter to the very foundation of today's enterprise IT, and yet the pace of change in the cloud sector shows no signs of lagging.

Hybrid cloud has given way to multicloud -- or is that just hype? The concept of "cloud native" is now au courant, offering its own myriad challenges. Emerging technologies from microservices to kubernetes to edge computing are prompting big shifts.

These many and constant new developments beg the question: what do I need to know to truly be current with cloud in 2020?

To provide insight, I spoke with a leading cloud expert, Bernard Golden. Golden had held number top tech positions; most recently he was Vice President, Cloud Strategy, Capitol One. Wired magazine dubbed him "one of the ten most influential people in Cloud Computing." He's the author of Amazon Web Services for Dummies, a bestselling cloud computing book.

Golden: It's the sort of thing that happens when a new way of doing things comes available and there are incumbents who are experts at the old way of doing things. And then the benefits of the new approach become so manifest, so evident, that to remain competitive from a business perspective you have to shift to that.

"I use auto manufacturing, auto industry, as an example. Basically, before Henry Ford mass assembly, cars were built the way you and I might do it. Everybody did everything. You didn't have to build a very elaborate factory. It was operating expense heavy capital, expense light. Henry Ford turned that on its head. He came up with a way of manufacturing cars that was far more productive, far less expensive.

"So the operating expense dropped enormously, but you had to have much more capital to be a competitive automaker. The net result was cars got a lot cheaper. So people started buying them, so it drove the size of the market. But to be a car manufacturer also that was a completely different game. And to respond and be competitive in that marketplace, you had to be able to have tens of millions or hundreds of millions of dollars of capital.

"And so, something like 200 car companies went out of business between 1913, 1925 because that changed. And cloud native, I would assert is an analogous kind of technology shift. And when [cloud native] companies like MTailor, all of a sudden grow to hundreds of millions of dollars a year of revenues, you have to respond. Because then people go, "Why can't I have something that's perfect for me?"

Golden: The question for most enterprises is, How much do I have to transform what already exists, and how do I free up enough investment to do this transformation? That is a huge challenge.

"I talked about the car manufacturing. Most car companies couldn't make that transition. They just couldn't find their way to funding that high capital investment, low operational, low OPEX model. They just... They surrendered. They said, "We are gonna go out of business." So, that's the whole thing about application inertia and the budget crunch. Where will enterprises find enough money to fund these changes? How can they find the talent to do it, which is typically expensive talent? And what do they do about their existing environment that so much of budget is tied up in?"

Golden: [The four companies are the three cloud providers, AWS, Microsoft Azure and Google Cloud, with the fourth being VMware].

"Five years ago, VMware presented a kind of an ultimatum to their customers: 'Use us or use those cloud providers.' And I didn't think that was a very smart strategy, because it sort of cut them off from all of this innovation and wasn't great customer relations.

"They've really changed that around to now saying, 'Yeah, you've got a lot of our stuff.' And they're basically the de facto infrastructure environment for most of the Fortune 2000. And all those companies are like, 'How do I deal with application inertia?' which we just talked about. How do I get to digital transformation? And VMware is now saying, 'We have a way, a pathway for you.' And part of it is they've said, 'We will run our environments in these cloud infrastructures.' So that they enable their customers to get out of owning their own data centers and tying up so much capital and investment there. And part of it is, they're enabling application monetization, they just brought Pivotal in."

Golden: "I think that most enterprises will be multicloud. They will use multiple clouds. There's no doubt about that. But the vision that there's some way to magically make applications somehow, 'Oh, I used to love this provider but now, you know, the sales rep really ticked me off. I'm gonna move all my applications' I think that's just too simplistic a view.

"A lot of companies say, Well, if you use containers or Kubernetes that will happen.' But I estimate that's maybe 25% of all the capability to actually migrate an application. You gotta look at how do you handle identity management, how do you handle security, how do you handle all the billing that's associated with a provider. Because most enterprises aren't gonna be just buying the list price off the website, they're gonna have a customized contract that they've negotiated."

Golden: "Just what proportion of the overall use cases will those [edge computing] use cases represent? I'll give you an example. I just had a new thermostat installed and it has some smart stuff, like it tracks whether people are in the house. And if nobody's in the house for a certain period of time, it'll turn things down, so forth and so on.

"Well, so it's got some sense capability. It sends a message back, probably once a second, to the cloud-based application by the thermostat provider, but that's probably a few hundred kilobytes. So does it need a local kind of compute capability and so forth? No. At the same time, there's other kinds of applications that, for a variety of reasons, latency, the difficulty of communication, whatever it might be - teah, they do require much more locality of the...[processing]

"But to think that everyone's gonna be running out and having a little sort of mini data center in their office to run whatever their edge thing is, it probably isn't... I think it's important to have a realistic perspective on that."

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Cloud Computing 2020: Five Key Trends - Datamation

FusionLayer: Managing Multi-Tenancy in the Edge Clouds: – Financialbuzz.com

FusionLayer announced today that it will unveil a patented concept for managing multi-tenant networks at the Mobile World Congress to be held in Barcelona between February 24th and 27th, 2020. The new design is targeted at service providers and carriers looking for cloud-native ways to manage multi-tenant networking at the edge cloud. The technology developed by FusionLayer is the only solution in the market that addresses multi-tenant network management at the edge clouds that leverage 5G mobility, Internet of Things (IoT) and Artificial Intelligence (AI).

The telecommunications industry is forced to reinvent itself in the 2020s as the business model of functioning as the bit pipe for the popular over-the-top (OTT) media services such as Netflix, Google and Apple is broken. While the users of these streaming services are consuming an ever-increasing amount of data over telecom service providers networks, the monthly plans with practically an unlimited amount of data are making it impossible for the telecoms industry to invest in the next-generation capacity needed to ensure the Quality-of-Service (QoS) in the mobile Internet services offered to consumers around the world.

The 2010s will be remembered as the decade during which public cloud services and over-the-top media services took over the Internet, said Juha Holkkola, the Co-Founder and Chief Executive of FusionLayer. The business problem that telecom companies are now facing is that their role is largely restricted to transferring an increasing amount of data packets at a flat price. Like any commodity business, this is a race to the bottom that leaves very little financial leeway to invest in new telecom infrastructure required to keep up with the ever-increasing amount of data.

To overcome this business challenge, network equipment vendors such as Nokia and Ericsson have developed the next generation of mobile technologies known as the fifth generation or 5G in short designed to provide low levels of latency and large amounts of bandwidth in densely populated metropolitan areas. To monetize these new technologies, the telecom industry is now moving its sights to a new technology called the edge cloud that allows telecom companies to host local cloud services in their data centers close to the users of connected devices.

The new 5G technology is especially suited for these rollouts because it allows telecom companies to provide blazingly fast network services and local computing capacity to enterprise customers that cannot afford the latency between the connected devices and centralized cloud services such as Amazon Web Services or Microsoft Azure. Typical use cases for this new breed of infrastructure involve various Internet of Things (IoT) and Artificial Intelligence (AI) applications.

The operational challenge that most telecom companies will face in this area is networking continued Holkkola. The edge clouds are inherently multi-tenant because each one of them will be used to host the computing needs of hundreds or even thousands of enterprise customers. While this has been the norm in cloud computing for nearly a decade, the traditional telecom companies are not cloud-native and therefore have no operational processes or solutions in place to manage tens or even hundreds of thousands of private networks overlapping each other.

The patented technology developed by FusionLayer allows telecom companies to manage multi-tenant network environments at the cloud edge. Through a unified management overlay that facilitates thousands of overlapping network spaces and more than a hundred thousand networks, FusionLayer is the only carrier-grade solution designed to manage networks at this scale. By adding an extremely high-performing virtualized DHCP (vDHCP) service to the mix, FusionLayer is also able to take care of the IP addressing for the individual mobile network devices that access the 5G network through the Points of Presence (POPs) that are the foundation of the edge cloud.

FusionLayer will launch its new solution for cloud-native network management and IP addressing at the Mobile World Congress (MWC) organized in Barcelona from February 24 27 2020. To schedule a demonstration or a briefing at MWC, please reserve a 15min timeslot here: https://mwc-2020-infinity-demo.appointlet.com/b/fusionlayer-demo. Alternatively, you can email us at mwc2020@fusionlayer.com.

About FusionLayer

FusionLayer streamlines cloud and application delivery in next-generation data centers. The companys vendor-agnostic technology bridges service automation workflows that span across application and infrastructure silos. Nine out of 10 of the worlds largest service providers leverage FusionLayer technologies. For further information, please visit http://www.fusionlayer.com.

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Environmental sustainability – the new cloud computing battleground – Verdict

Environmental sustainability has become a major new competitive battleground for cloud computing giants, Google, Microsoft and Amazon Web Services (AWS). All three companies are already committed to improved energy efficiency and the use of renewable energy within their international network of data centres even if those goals have not yet fully realised. However, that commitment is now being extended to new areas, including helping customers with their own sustainability objectives. This will open-up a whole new competitive battleground between these leading cloud companies.

Between them, Google, Microsoft and AWS account for around two-thirds of all cloud-based digital workloads. These include everything from digital applications and services to databases and enterprise software. They support these workloads via massive, globally distributed, data centres. These centres offer computing processing capabilities, as well as data storage and a wide range of other services. However, demand for data centre resources are on the rise driven by the growing use of things such as high definition video, the Internet of Things (IoT), and big data. Therefore, AWS, Microsoft and Google are investing considerable resources in developing new data centres and expanding existing ones. As a result, all three are under mounting pressure to show that they take their environmental responsibilities seriously.

Data centres are massive consumers of electricity thought to currently account for 2% of total global consumption. This has potential to rise to 8% by 2030, according to some estimates. As the demand for data centre capacity and the energy it requires increases, AWS, Microsoft and other cloud providers are eager to show that the design, operations, and power consumption of their data centres are all environmentally sustainable.

Google, which claimed to have achieved 100% energy efficiency in 2017 a figure that includes its cloud data centres is currently investing US$3.3 billion in expanding its data centre footprint in Europe. Google emphasises that all of its new data centres will run entirely on renewable energy. Microsoft, which is building new data centres in Arizona, Qatar and Israel, expects all its cloud data centres to run on renewable energy sources by 2025. AWS currently lags behind Microsoft and Google in terms of data centre energy sustainability. Although AWS claimed to have achieved its 50% renewable energy target in 2018, this level includes renewable energy certificates (RECs), which AWS uses to offset its carbon emissions.

AWS remains, by far, the worlds largest provider of cloud infrastructure and services. However, Microsoft and Google are intent on catching up with their larger rival. Environmental sustainability has become a major competitive priority for both. Microsoft for example is turning its attention to helping customers meet their own sustainability targets. Microsoft recently unveiled a new tool that is designed to help customers and partners succeed with their environmental sustainability targets, particularly in relation to carbon emissions.

The Microsoft Sustainability Calculator provides customers of Microsofts Azure cloud services business with insights into the carbon emissions associated with the digital content, data and applications they run on servers located in Microsoft Azure cloud data centres. This allows them to more effectively assess the environmental impact of their IT resources and make any necessary adjustments.

Going forward, expect to see more initiatives like this. AWS, Microsoft, Google, and other large cloud companies will strive to win the confidence of customers, partners and governments. The intention is to show that they are committed to upholding environmental standards. The environment will be a key battleground in the sustainability wars to come.

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Environmental sustainability - the new cloud computing battleground - Verdict

Migrating to cloud: solving the big data problem – Information Age

Alberto Pan, CTO at Denodo, discusses overcoming struggles with big data when it comes to migrating to the cloud

Leveraging big data still isn't without its obstacles.

For many organisations, cloud computing is now a fact of life. Over the years, its established a reputation as the key to achieving maximum agility, flexibility and scalability. The benefits of cloud technologies like big data are well documented. Organisations that adopt them are able to scale up and scale down their data storage and compute capacity as needed. This provides a new level flexibility for dynamic workloads, enabling the business to take advantage of new data types or new business opportunities, without making huge commitments to infrastructure.

With recent studies revealing that 42% of companies operating in the UK have some sort of cloud service in place, an 18% increase on 2014, adoption levels arent set to slow down anytime soon.

And, whilst many organisations are already experiencing the benefits of migrating their data to the cloud, some are thinking about how to take it up a notch by introducing big data into the mix.

Cloud computing and big data are both powerful advancements in technology when thought about separately. When brought together; they could give a business the competitive edge.

DevTeam.Space takes a look at what benefits cloud computing can provide for companies, including storage capabilities and cost. Read here

But, whilst the benefits could be huge, migrating big data to the cloud is not without its challenges

For many organisations, when it comes to migrating to cloud, big data can pose a big problem.

Due to its need for large processing power, big data has traditionally been processed on premise. Its complexity means that companies can still find it difficult to even begin to imagine moving to a different environment.

One of the first challenges businesses need to face is the movement from a physical to virtual infrastructure. In order to do this effectively, connectivity between different data sources is essential. Businesses need to ensure that they are able to migrate their big data to the cloud whilst running their on-premise systems as efficiently as possible. They also need to be sure that different systems and applications are able to connect following the migration to ensure the smooth flow of data otherwise they risk impacting overall business productivity and even downtime.

Mark Banfield, LogicMonitors chief revenue officer, discusses the problem of IT outages and how their impact can be reduced. Read here

Once this step is complete, organisations often face another problem. For many, migrating to cloud can bring a sense of loss of control; especially when compared to on-premise. This is usually because you have less direct contact with your data and is a problem often magnified when considering big data. Big data will often contain sensitive information such as the personal information of individuals, including both employees and customers. Thanks to regulations such as the GDPR, ensuring this data is kept protected has never been more important in order to avoid financial fines and reputational damage.

Although these two challenges should not hinder the movement of big data to cloud, the fear so often associated with them means it can be difficult to get the whole company on board. Often, certain members of the c-suite will need reassurance to buy into the idea of migrating this information.

Enter data virtualisation: the missing link when it comes to cloud migration.

Data virtualisation has the potential to help organisations to overcome the fear that often reigns when it comes to migrating big data to cloud.

By generating a single, logical view of all business data, no matter where it resides and without having to duplicate information in a physical repository, it enables organisations to overcome connectivity and security challenges.

This single view grants organisations with the power to monitor connectivity as well as performance between different sources during the migration stages. For example, when a data source is moved to the cloud, the virtualisation layer will provide redirection by reconfiguring the virtual layer, meaning there will be no need to manually reconfigure applications. This saves on resources which ultimately saves on financial spend.

Mark Pidgeon, vice president of technical services and customer success at Sumo Logic, explores the steps to a successful cloud migration. Read here

Similarly, from a security stand point, when big data is in the cloud environment, this single layer grants a full view of data sources, which can help companies to better protect their most confidential information and comply to the latest regulatory standards, without impacting the overall performance of operations.

Moving big data to the cloud has many benefits. The clouds scalable environment is far more cost effective and also could be used to improve the speed, performance and scalability of business operations.

Data virtualisation is emerging as the key to helping organisations to achieve these benefits. By providing one single, logical view of all data no matter where it resides, it can enable businesses to shift big data into a cloud environment whilst still ensuring that they are able to manage connectivity, respond to security fears and compliance requirements as well as ultimately find whatever information they require.

When it comes to cloud migration, data virtualisation has the power to convert the big data problem into a big data opportunity.

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Migrating to cloud: solving the big data problem - Information Age

Healthcare: Cloud Computing and it’s Benefits – Healthcare Tech Outlook

Cloud networks facilitate healthcare professionals to store up all the information they use off-site to let alone the strain and cost of keeping up the physical servers.

FREMONT, CA: Cloud computing is swiftly becoming a new standard for businesses across the globe. With each passing day, more and more industries are engaged in transferring their data to a hybrid or cloud server. The healthcare business is no exception. As healthcare experts become accustomed to the changing world of technology, they have undertaken to introduce cloud solutions into their profession.Four benefits of cloud computing includes:

1. Data Storage Capacity

Today, data storage remains one of the prime applications of the cloud in healthcare. The industry works with tremendous amounts of data, which even the most sophisticated hardware installations cannot handle. Cloud networks facilitate healthcare professionals to store up all the information they use off-site to let alone the strain and cost of keeping up the physical servers.

2. Scalability of Service

While the need for care is persistent, specific periods such as the cold and flu season need more of the healthcare providers attention. The cloud can level to increase or decrease data storage along with the traffic, depending on the clients requirements. Therefore, healthcare providers are able to fit their network demands to match their service needs.

3. Collaboration

Customers who make use of the same cloud network can quickly transfer data between each other. In instances where healthcare businesses need to share medical data, the occurrence would be a huge advantage. The information can be shared with anyone who needs to see it facilitating for quicker collaboration to offer healthcare solutions.

4. Artificial Intelligence and Machine Learning

The considerable amount of data that organizations deal with takes up a lot of time to administertime that can be spent with patients. As many cloud platforms are integrating machine learning and artificial intelligence into their services, they can help improve some of that burden. Healthcare businesses can use the systems to examine and react to the enormous magnitude of unstructured data they utilize.

See Also :-Top Cloud Consulting/Services Companies

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Healthcare: Cloud Computing and it's Benefits - Healthcare Tech Outlook

Cisco helps IT and DevOps troubleshoot hybrid-cloud apps – Network World

Cisco has taken the wraps off of new tools it says will boost on-premises or cloud application performance by helping IT and devops work together to automate and more quickly resolve software problems.

The new tools include a package from Cisco AppDynamics that lets customers track the key components users interact with as they use enterprise applications. Cisco paid $3.7 billion for AppDynamics three years ago for its application-performance monitoring and problem-resolution automation technology. The idea was to develop products and applications that would give customers better end-to-end visibility of the IT infrastructure, including cloud, devices, security, network, compute and applications.

That idea in part is whats driving development of the new offerings. For example, the goal with the new product called Experience Journey Maps is to chart business and application-performance metrics to give app and network teams a single, correlated view of the application to make sure it is executing properly.

Applications rely on a number of different elements network, services and software components to operate properly and effectively, said Kaustubh Das, vice president of strategy and product development with Cisco's Computing Systems Product Group. Customers have higher and higher expectations for application interaction especially if you look at consumer applications. Companies can pay a heavy penalty for poor application performance.

Another new package allows the integration of AppDynamics enterprise application information with Cisco Intersight Workload Optimizer. The cloud-based Intersight Optimizer is the next iteration of Ciscos management package for its Unified Computing System (UCS) and HyperFlex computing environments. With it, customers can manage a variety of infrastructure components such as servers, configuration and policy management as well as telemetry and analytics, Das said.

Together the AppDynamics application data is now combined with the Insight infrastructure data to let application and infrastructure teams see a shared view of infrastructure dependencies that affect application performance, user experience, and business impact, from one location, Das said. The IT and DevOps teams can work together, using a shared vocabulary to pinpoint the root cause for application degradation, proactively prevent issues in real-time, set policies, and automate responses to solve app issues on-prem or in the cloud, regardless of domain.

Such services can be a powerful tool for customers as they roll out containers or hybrid cloud-based services, analysts said.

Clearly it is still early in the game. Organizations reported that only about 20% (22% to be exact) of their app environment is container based today, but expect that to grow over the next two years to 34%, said Bob Laliberte, a senior analyst with Enterprise Strategy Group.

The inclusion of AppDynamics and Insight demonstrate and understanding that these [cloud and container] environments are becoming far more complex, with a combination of microservices architectures running in container environments that could be distributed across on-premises data centers, multiple public clouds and even edge locations, Laliberte said. The need to have not only visibility, but closed-loop automation to ensure application performance that encompasses both the application and infrastructure level will be critical for IT ops to be more productive and efficient.

Cisco also introduceda Kubernetes-based container that can be deployed with Ciscos HyperFlex environment. HyperFlex is Ciscos hyperconverged infrastructure that offers computing, networking and storage resources in a single system.

The package is a turnkey, integrated container-as-a-service platform that enables provisioning as needed, Das said. If customers want to develop in AWS or Azure it works with them too, he said. As with other HyperFlex systems, this one can be managed via AppDynamics and Intersight sytems as well.

As organizations build out their container-based application environments, Cisco wants to have an offering to enable organizations to have a scalable on-premises cloud as part of a hybrid cloud and/or multi-cloud environment, Laliberte said.

AppDynamics Customer Journey Map and Cisco Intersight Workload Optimizer and HyperFlex Application Platform for Kubernetes will be available in 2Q of 2020.

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Cisco helps IT and DevOps troubleshoot hybrid-cloud apps - Network World

A change in perspective is the key to achieving compliance on the cloud – Techaeris

This is a guest post, the opinions and thoughts expressed are those of the author and do not reflect on Techaeris. The authors full bio is located at the end of this article.

Strategizing cloud compliance with a traditional enterprisemindset is detrimentalfor all organizations.

As organizations continually move their workloads on cloud platforms, they need to ensure their data, workloads, and processes meet compliance requirements. The traditional mindset to achieve compliance on cloud is the biggest hurdle organizations face and to overcome requires a perspective change and understanding the challenges is paramount to achieve what is needed.

Hereare some challenges that companies face and I will share some of my insights toexplain how to tackle the hurdles.

Despite significant efforts from cloud providers in creating awareness of ashared responsibility model, providing security controls and training, organizations still struggle to understand the Shared Security Model and make mistakes in delineating the responsibilities.Organizations end up with critical security gaps on their cloud assets assuming its the Cloud service providers responsibility leading to potential breaches.

Compliance requirements/objectives remain the same across cloud computing layers. However, the accountability to achieve a specific requirement on a SaaS vs an IaaS platform may be completely different with one requiring the Cloud Provider to implement the same whereas others require the customer.

For example, data at rest encryption requires meeting compliance objectives on a SaaS platform as compared to an IaaS service that has different responsibility models and implementation sets.

Organizations try to retrofit their existing enterprise securitycontrols for assessing and meeting their compliance needs on Cloud to save oncosts and time. This leads to erroneous results and will cost more interms of time and effort to fix the failed compliance objectives and securitymisconfigurations.

For example, PCI compliance mandates assigning a unique ID to each person with computer access which is a straightforward use case in a traditional enterprise. However, this specific requirement translates into several key use cases in the content of an IaaS service. A person can access IaaS resources via its management portal, APIs, Command Line or even from an end workload via native IAM Roles.

Traditionally security and compliance policies are documented in large and difficult to comprehend paper documents. Post software production, security officers/personnel validate the software to ensure they meet the documented policies which often fall short due to time constraints on delivery, go to market pressure and incorrect understanding of the software.The security and Development teams relationship gets affected in the due process which attributes to the creation of non-resilient and insecure software most of the time.

The cloud ecosystem isephemeralin nature, leading to an extremely fast environment and making it extremely difficult tomanage and track the drift. Enforcing security controls to maintain the compliance standards in a rapidly changing environment is complex, requires discipline, redesign of legacy applications and can be a costly affair if not done correctly. Always remember that meeting cloud compliance requirements is difficult, staying compliant is more.

The following are the salient ways to enable organizational changes which are instrumental in bringing a change in perspective, change in culture and eventually leading to achieving and staying compliant in a Cloud ecosystem.

Cloud providers have invested a lot in creating awareness and a knowledge base articulating their responsibilities.Cloud adoption strategy should include investment in learning and training the teams about responsibility shift.

Microsofts shared responsibility guideandAWS Shared responsibility guideare great starting points to learn. Delineating and defining responsibilities for IaaS, PaaS and SaaS service models as early as possible is the mantra to success.Moving toCloud does not mean organizations are off the hook to secure their workloads or data on cloud.

The rise in devOps adoption has significantly impacted the ways in which organizations are producing software. With this change in methodology, security and compliance controls need to shift left and not be implemented closer to production.Conversion of paper-based security and compliance policies to code templates is the fundamental change, organizations should be willing to adopt.

Starting early and converting security as code is the answer toachieve compliance at cloud scale.

Managing drift in Cloud is difficult due to its ephemeral and high-velocity nature. Automation and real-time enforcement of compliance policies is the mantra to stay compliant.

Automation allows organizations to enforce security policies and security controls homogeneously in an ever-changing cloud ecosystem. This could further be augmented with real-time enforcement of compliance policies, which is an absolute necessity to stay compliant. In-house automation as well as products likeChef,Puppet,etc. can be used to automate and manage drift and meet compliance objectives (disclosure Saviyntis a partner ofChefSoftware)

Organizations in the regulated industries are spending significant time in defining security and compliance controls to meet the stringent and complex compliance mandates. Investments in external consultation or third party products not only expedite the process but also ensure the correctness of the mappings.

Organizational change in culture and mindset are fundamental shifts, which needs to occur at the grassroots level to ensure asuccessful, secure and compliant cloud adoption and can make a hugedifference in your organizations compliance fulfillment.

About the Author: As Saviynts Chief Cloud Officer, Vibhuti Sinha, is the owner of Saviynts cloud platform and products of Saviynt (www.saviynt.com ) As the owner of Saviynts cloud platform, he is responsible to deliver Saviynts IGA and cloud security offerings as services to its customers across the globe. He is also responsible for the strategy and innovation of products to secure various cloud providers, cloud applications and platforms. He has 16+ years of experience in defining security vision and roadmap, building security solutions, defining IAM strategy and implementing large scale security platforms for Fortune 500 organizations.

Last Updated on January 30, 2020

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A change in perspective is the key to achieving compliance on the cloud - Techaeris

Healthcare Cloud Computing Market will Experience a Massive Hike in Coming Period including Key Players Amazon , EMC Corporation , HealthFusion, Inc….

The wide-ranging analysis of global Healthcare Cloud Computing market has recently added by Report Consultant to its massive database. This market research report offers a complete understanding of various market segments. It has been scrutinized through fundamental research methodologies such as primary and secondary research. The most crucial pieces of informative data have been collected through various reliable sources such as industry surveys, press releases, websites, journals, interviews, and observations. Moreover, the granular analysis of several business perspectives is done in the report.

Leading Players Profiled in Healthcare Cloud Computing Market@Amazon, EMC Corporation, HealthFusion, Inc., Allscripts Healthcare Solutions, inc., VMware, Inc., Xerox Corporation, Hewlett Packard Corporation

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Healthcare Cloud Computing Market Regional Analysis:

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Latin America (Mexico, Brazil, Peru, Chile, and others)

Western Europe (Germany, U.K., France, Spain, Italy, Nordic countries, Belgium, Netherlands, and Luxembourg)

Eastern Europe (Poland and Russia)

Asia Pacific (China, India, Japan, ASEAN, Australia, and New Zealand)

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Finally, researchers throw light on financial as well as administrative aspects of the industries. Leading industries have been profiled across the global regions. TheHealthcare Cloud ComputingMarket report also talks about some significant pointer such as challenges, risks, threats, and global opportunities.

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If you need anything more than these then let us know and we will prepare the report according to your requirement.

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Healthcare Cloud Computing Market will Experience a Massive Hike in Coming Period including Key Players Amazon , EMC Corporation , HealthFusion, Inc....

The JEDI Contract Speaks Volumes about GCP and Multicloud – ITPro Today

Whos the biggest loser from Microsofts JEDI contract win? It may seem to be AWS, the cloud that the Department of Defense passed over when selecting a provider for the $10 billion contract. But Id argue that Google Cloud Platform has actually lost the most out of the JEDI affair. Thanks in part to the deal, GCPs status as a Big Three cloud provider is more precarious than ever. Lets take a look at what the deal means for GCP, its enterprise customers and the multicloud market.

Whether politics played a role in the JEDI contract outcome doesnt really change anything on the ground--by which I mean, in the enterprise cloud marketplace.

Political pressure from the White House may well have been the main reason why the Pentagon chose to award the $10 billion JEDI contract to Microsoft Azure instead of AWS. Or it may not have been. Well probably never really know, although Amazon has asked a court to temporarily stop Microsoft from working on the project until the contracts validity is resolved.

Either way, the inevitable result of Microsofts win is that Azures image got a very big image boost. The issue of whether AWS lost out purely based on functionality, or because of politics, is basically moot at this point. The whole affair has elevated Azures status far beyond what it was a year ago, when most folks assumed that AWS securing of the contract was a fait accompli, even though the outcome hadnt been announced yet.

From a technical perspective, there is little difference today between the AWS and Azure clouds. Its hard to argue that one cloud is clearly superior to the other based on functionality (or, for that matter, price).

True, some folks will claim that either Azure or AWS is better overall in a technical sense. But those arguments usually boil down to a preference for certain frameworks or tools, or which cloud began offering a certain type of service first.

For example, you might claim that Azure is better for containers because Azure was doing Kubernetes first, while AWS initially relied on its own, homegrown container orchestrator. But that argument would be predicated on a subjective preference for Kubernetes, combined with the flawed notion that whichever cloud does something first must necessarily be the best at it.

In reality, AWS and Azure both offer a litany of different IaaS, PaaS and SaaS services that in most respects are directly comparable with each other. In fact, each provider arguably sells so many services that it has become a challenge to figure out which ones you actually need.

I say this because I want to make clear that the JEDI contract doesnt prove that Azure has become a more robust or technically sophisticated cloud than AWS--even if it does give Azure a leg up from a marketing perspective.

Neither, by the way, does the JEDI deal have huge implications for Azures financial success. As analysts have noted, the contract will account for only a tiny portion of Azures revenue. Its financial significance for AWS, had it received the contract, would have been even more minuscule.

If the JEDI deal doesnt matter much in terms of the technical functionality or financial prospects of either AWS or Azure, it matters a lot for another cloud that hasnt been featured in many of the JEDI-related headlines: GCP. Indeed, by failing to come even close to finalist status in the JEDI contest, GCP has reinforced its third-wheel status within the club of Big Three cloud providers.

As astute followers of cloud computing news will recall, GCP was once under consideration for the contract. But it dropped out in 2018. At the time, Google worked hard to position the retreat as a reflection of its commitment to values, although it also admitted that portions of the contract were out of scope with GCPs capabilities.

For companies looking for a reason not to view GCP in the same light as Azure and AWS when it comes to hyperscale cloud computing, then, JEDI is it.

You could make the same case about other major public clouds that failed to join AWS and Azure on the list of finalists for the JEDI contract, of course, like IBM and Oracle (which was angry enough about being kept out of the running to sue over it). But the difference between those clouds and GCP is that IBM and Oracle have not invested as much as Google in trying to achieve the same status as AWS and Azure, in terms of public perception. Only GCP has tried so hard to position itself as a public cloud that is just as feature-rich and enterprise-ready as Azure and AWS.

From this viewpoint, the biggest loser in the JEDI deal is not AWS, but GCP. The JEDI affair has made it that much harder for Google to convince enterprises that its cloud is keeping pace with AWS and Azure. It marks another blow for GCP a year after Google fired its cloud chief, a move widely viewed as an acknowledgment that Googles cloud strategy was not working.

Its also worth noting the precedent that the JEDI outcome sets for multicloud. Everyone everywhere is excited about multicloud architectures, partly due to their ability to deliver greater levels of reliability by ensuring that if one cloud fails, you still have another to keep your workloads running.

Its interesting, then, that the Department of Defense didnt opt to jump on the multicloud bandwagon by splitting the JEDI contract among multiple clouds, which it easily could have done. That approach--which politicians urged--would not only have calmed some of the concerns about political interference in the selection process, but also probably given the DoDs cloud workloads a reliability boost.

If the DoD doesnt think a multicloud strategy is worth it for a contract like JEDI, other large organizations may have the same thought. I dont think this spells the end of the multicloud trend, but it just might dampen the multicloud buzz a little bit.

Time will tell whether we learn more about the specific reasons why Azure won the JEDI contract. But no matter how much politics factored into the decision, or which technical considerations might have been at play, three things are clear: Azure got a huge publicity boost; GCPs claim to be a peer of AWS and Azure is more tenuous than ever; and there is now a major precedent for not going multicloud.

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How AI Adoption Can Be Benefited with Cognitive Cloud? – Analytics Insight

Today cognitive computing and cognitive services are a big growth area that has been valued at US$ 4.1 billion in 2019 and its market is predicted to grow at a CAGR of around 36 percent, according to a market report. A number of companies are using cognitive services to improve insights and user experience while increasing operational efficiencies through process optimization. Such technologies are set to be a significant competitive differentiator in todays era. Cognitive technologies will enable organizations to stay ahead of the competition when it comes to understanding and improving customer experience.

As it is known, cognitive is highly resource-intensive, requiring powerful servers, deep technical skill-sets, and often leading to a high degree of technical debt, which is why, for a long time, Cognitive was limited to large enterprises such as the Fortune 500s.

However, with the introduction of the cloud, this has been completely overturned. As noted by Medium, the cloud allows developers to build Cognitive models, test solutions, and integrate with existing systems without needing physical infrastructure. While there are still resource costs involved, enterprises can flexibly subscribe to cloud resources for cognitive development and downscale as and when necessary.

In a conventional arena, cognitive would only make sense for large enterprises from a purely ROI standpoint. They would commit sizeable time, effort, and investments in R&D, and could afford delays/uncertainties in value generation. Now, even small-to-mid-sized businesses can utilize the cognitive cloud to apply AI as part of their day-to-day IT ecosystem, rapidly generating value without the infrastructure of vendor dependencies.

Moreover, the cognitive cloud serves great benefits for AI adoption including optimize resource utilization, wider access to skill-sets, and accelerate projects. Enterprises no longer need to spend on cognitive-ready infrastructure. The cognitive cloud can be used as and when required and decommissioned when idle. Also, instead of hiring an in-house data scientist or AI modeling expert, enterprises can partner with cognitive cloud vendors at a flexible monthly rate. This is particularly useful for those facing sluggish digital transformation (traditional BFSI and pharmaceuticals, among others). Further, the overlong planning, investment, and set-up period are replaced by a ready-to-deploy solution. Some cloud vendors even offer customizable default AI models.

According to B2C, the path to building and operationalizing cognitive services is highly dependent on the companys starting point. Cloud-native cognitive services require a degree of digital maturity. For a company well used to leveraging cloud, and comfortable designing, building and deploying in a cloud-native environment, the transition to cognitive will necessarily be quicker. If an organization is still grappling with, say, automation or is fairly new to the DevOps approach, the possibilities inherent in cloud-based resources are still open to it. For example, Infostretch has a long track record of helping organizations accelerate digital, whether its helping them transition from monolithic to microservices architectures, implement Agile DevOps, deploy intelligent automation or create a continuous innovation pipeline.

Priming ones product delivery environment for cloud-based cognitive services is one part of the equation. A robust, efficient test environment is also needed when it comes to deploying predictive analytics in real-time. Also, a highly automated system is important since a team relying on high levels of manual intervention generally will not have the bandwidth to take advantage of what cognitive services have to offer. Infostretchs own intelligent testing suite, for example, relies on bots and other AI technologies to optimize every aspect of an organizations testing lifecycle improving test quality, speeding up the process and prioritizing actions that really need attention.

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Smriti is a Content Analyst at Analytics Insight. She writes Tech/Business articles for Analytics Insight. Her creative work can be confirmed @analyticsinsight.net. She adores crushing over books, crafts, creative works and people, movies and music from eternity!!

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How AI Adoption Can Be Benefited with Cognitive Cloud? - Analytics Insight

Healthcare Cloud Computing World Market Analyses; 2014-2019 & 2020-2026 – Yahoo Finance

DUBLIN, Jan. 17, 2020 /PRNewswire/ -- The "Healthcare Cloud Computing Market Size, Share & Trends Analysis Report By Application, By Deployment Model (Private, Public, Hybrid), By Pricing Model, By Service Model, By End Use (Providers, Payers), And Segment Forecasts, 2019 - 2026" report has been added to ResearchAndMarkets.com's offering.

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The global healthcare cloud computing market size is expected to reach USD 27.8 billion by 2026, exhibiting a CAGR of 11.8% over the forecast period.

The associated benefits of data analytics and increase in demand for flexible & scalable data storage by healthcare professionals is expected to drive the demand for these services over the forecast period.

Healthcare organizations are digitalizing their IT infrastructure and deploying cloud servers to improve features of systems. These solutions help organizations in reducing infrastructure cost & interoperability issues and aid in complying with regulatory standards. Hence, rising demand from health professionals to curb IT infrastructure costs and limit space usage are anticipated to boost market growth over the forecast period.

Increase in government initiatives undertaken to develop and deploy IT systems in this industry is one of the key drivers of this market. Moreover, increase in partnerships between private & public players and presence of a large number of players offering customized solutions are some of the factors anticipated to drive demand in the coming years.

Further key findings from the study suggest:

Key Topics Covered

Chapter 1 Methodology & Scope

Chapter 2 Executive Summary2.1 Market Outlook2.2 Segment Outlook2.3 Competitive Insights

Chapter 3 Healthcare Cloud Computing Market Variables, Trends, and Scope3.1 Market Lineage Outlook3.1.1 Parent market outlook3.1.2 Ancillary market outlook3.2 Penetration & Growth Prospect Mapping3.3 User Perspective Analysis3.3.1 Consumer behavior analysis3.3.2 Market influencer analysis3.4 List of Key End Users3.5 Regulatory Framework3.6 Market Dynamics3.6.1 Market driver analysis3.6.2 Market restrain analysis3.6.3 Industry challenges3.7 Healthcare Cloud Computing: Market Analysis Tools3.7.1 Industry analysis - Porter's3.7.2 PESTLE analysis3.7.3 Major deals and strategic alliances3.7.4 Market entry strategies

Chapter 4 Healthcare Cloud Computing Market: Segment Analysis, by Application, 2014-2026 (USD Million)4.1 Definition and Scope4.2 Application Market Share Analysis, 2018 & 20264.3 Segment Dashboard4.4 Global Healthcare Cloud Computing Market, by Application, 2015 to 20264.5 Market Size & Forecasts and Trend Analyses, 2015 to 20264.5.1 Clinical information systems4.5.2 Non-clinical information systems

Chapter 5 Healthcare Cloud Computing Market: Segment Analysis, by Deployment Methods, 2014 - 2026 (USD Million)5.1 Definition and Scope5.2 Deployment Methods Market Share Analysis, 2018 & 20265.3 Segment Dashboard5.4 Global Healthcare Cloud Computing Market, by Deployment Methods, 2015 to 20265.5 Market Size & Forecasts and Trend Analyses, 2015 to 20265.5.1 Private cloud5.5.2 Public cloud5.5.3 Hybrid cloud

Chapter 6 Healthcare Cloud Computing Market: Segment Analysis, by Pricing Model, 2014 - 2026 (USD Million)6.1 Definition and Scope6.2 Deployment Methods Market Share Analysis, 2018 & 20266.3 Segment Dashboard6.4 Global Healthcare Cloud Computing Market, by Pricing Model, 2015 to 20266.5 Market Size & Forecasts and Trend Analyses, 2015 to 20266.5.1 Pay-as-you-go6.5.2 Spot pricing

Chapter 7 Healthcare Cloud Computing Market: Segment Analysis, by Services Model, 2014 - 2026 (USD Million)7.1 Definition and Scope7.2 Deployment Methods Market Share Analysis, 2017 & 20267.3 Segment Dashboard7.4 Global Healthcare Cloud Computing Market, by Service Models, 2015 to 20267.5 Market Size & Forecasts and Trend Analyses, 2015 to 20267.5.1 Software-as-a-service7.5.2 Infrastructure-as-a-Services7.5.3 Platform-as-a-Service

Chapter 8 Healthcare Cloud Computing Market: Segment Analysis, by End Use, 2014 - 2026 (USD Million)8.1 Definition and Scope8.2 End-use Methods Market Share Analysis, 2018 & 20268.3 Segment Dashboard8.4 Global Healthcare Cloud Computing Market, by End Use, 2015 to 20268.5 Market Size & Forecasts and Trend Analyses, 2015 to 20268.5.1 Healthcare providers8.5.2 Healthcare payers

Chapter 9 Healthcare Cloud Computing Market: Regional Market Analysis, 2014 - 2026 (USD Million)9.1 Definition & Scope9.2 Regional Market Share Analysis, 2018 & 20269.3 Regional Market Dashboard9.4 Regional Market Snapshot9.5 Regional Market Share and Leading Players, 20189.6 SWOT Analysis, by Factor (Political & Legal, Economic and Technological)9.7 Market Size, & Forecasts, Volume and Trend Analysis, 2018 to 20259.8 North America9.9 Europe9.10 Asia-Pacific9.11 Central & South America9.12 MEA

Chapter 10 Healthcare Cloud Computing Market - Competitive Analysis10.1 Recent Developments & Impact Analysis, by Key Market Participants10.1.1 Ansoff Matrix10.1.2 Heat Map Analysis10.2 Company Categorization10.2.1 Innovators10.3 Company Profiles10.3.1 NextGen Healthcare10.3.2 Carestream Corporation10.3.3 INFINITT Healthcare10.3.4 Dell Inc.10.3.5 NTT DATA Corporation10.3.6 Sectra AB10.3.7 Allscripts10.3.8 Ambra Health10.3.9 Nuance Communications10.3.10 Siemens Healthineers

Chapter 11 KOL Commentary11.1 Key Insights11.2 KOL Views

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Healthcare Cloud Computing World Market Analyses; 2014-2019 & 2020-2026 - Yahoo Finance

Latin America Cloud Computing Market Study, 2019-2023 – Market to Exhibit a CAGR of 22.4%, Driven by the Increasing Demand for Hybrid Cloud Solutions…

DUBLIN, Jan. 17, 2020 /PRNewswire/ -- The "Cloud Computing in Latin America, 2019: Telco Cloud Offers, Best Practices and Market Opportunities to 2023" report has been added to ResearchAndMarkets.com's offering.

The Latin American cloud computing services market will expand at a 22.4% CAGR between 2019 and 2023, driven by the increasing demand for hybrid cloud solutions in the IaaS and SaaS segments.

Given increasing enterprise cloud adoption in Latin America that has led to more complex environments, telcos in the region are expanding their presence in the cloud space by acting as cloud resellers, providing managed services and supporting companies managing hybrid and multi-cloud environments.Cloud Computing in Latin America, 2019 provides an executive-level overview of the cloud computing services market opportunity for telecoms companies in Latin America. It delivers quantitative and qualitative insights into the cloud market, analyzing key trends and growth drivers in the region.

It provides in-depth analysis of the following:

Key Highlights of the Market

Reasons to Buy This Report

Key Topics Covered

Section 1: Definitions

Section 2: Cloud computing market opportunity in Latin America

Section 3: Telco cloud positioning and go-to-market strategies

Section 4: Best practices from telco case studies

Section 5: Key findings and recommendations

Companies Mentioned

For more information about this report visit https://www.researchandmarkets.com/r/gwtxek

Research and Markets also offers Custom Research services providing focused, comprehensive and tailored research.

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Research and Markets Laura Wood, Senior Manager press@researchandmarkets.com

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Latin America Cloud Computing Market Study, 2019-2023 - Market to Exhibit a CAGR of 22.4%, Driven by the Increasing Demand for Hybrid Cloud Solutions...

A Top Cloud Stock to Buy in 2020 and Hold for the Long Run – The Motley Fool

The cloud computing industry has been growing at a nice clip for the past few years, and it isn't expected to slow down anytime soon. IDC estimatesthat public cloud spending will hit $500 billion by 2023 from $229 billion last year. That translates into a compound annual growth rate of 22.3%, which would be driven by increasing demand for Software-as-a-Service (SaaS) by corporations and enterprises.

Gartner, for instance, forecaststhat SaaS revenue could jump over 50% by 2022. Nutanix (NASDAQ:NTNX) is one cloud stock investors can buy to take advantage of the growth in public cloud spending, as it stands to win big from the SaaS vertical. Let's see how.

Image source: Getty Images.

Nutanix has quickly transformed itself from selling hardware appliances to a software-centric business model in the space of just fivequarters. The company was getting a quarterof its revenue from selling hardwarefor hyper-converged cloud infrastructure before the pivot happened. But that business had weak margins and the prospects looked bleak thanks to ballooning memory costs.

In fact, Nutanix's gross profit margin was 61.9% when Nutanix announcedthe software pivot. The metric was moving in the wrong direction as hardware costs pressured the company's margin profile. The story is much different now, as Nutanix has started getting a big chunk of its revenue from software sales.

NTNX Gross Profit Margin data by YCharts

In the firstquarter of fiscal 2020, Nutanix's software and support revenue came in at $305 million, an increase of 9% over the prior-year period. The company's total revenue stood at $314.8 million, which means that hardware sales have been reduced to a tiny portion of the company's overall business. More specifically, Nutanix got just $9.7 million in revenue from hardware sales last quarter as compared to $32.5 million in the year-ago period.

Subscription-only sales clockedimpressive annual growth of around 71% to almost $218 million. However, one-time software sales plunged to $77.5 million from $146.5 million a year ago as Nutanix's transition to a software-centric model continued. This means that Nutanix now gets just over 69% of its total revenue from selling software subscriptions.

So, the company still has some way to go before it completely eliminates its legacy hardware and software businesses. Nutanix has set itself a targetof generating 75% of total billings from the subscription business by the end of the current fiscal year. It is close to attaining that target, as now 72.5% of billingsin the first quarter came from subscriptions.

It won't be surprising to see Nutanix's subscription business supply a greater proportion of the overall revenue in the future, considering the pace of growth in its deferred revenue. The company's deferred revenue shotup 39% annually to $975 million during the first quarter of fiscal 2020, while its overall revenue was flat on a year-over-year basis at $314.8 million.

Deferred revenue is the amount of money collected by a company in advance for services that will be rendered at a future date. The deferred revenue is recognized on the income statement when services are actually delivered.

For Nutanix, this means that the company's subscription business is succeeding. In fact, the average contract term of Nutanix's subscription customers stoodat 3.9 years in the last reported quarter. This points toward long-term growth at Nutanix, as the company is able to lock customers in long-term contracts.

What's more, Nutanix's existing customers are spending more money on its services. That's evident from the company's 132% dollar-based net expansion ratelast quarter. This is considered to be a solidnumber for a SaaS company as per Crunchbase estimates, which puts the industry average at 106%. Additionally, Nutanix was able to retain 97% of its customers last quarter.

In all, Nutanix looks like a solid cloud computing bet, as it is operating in a fast-growing market and is pulling the right strings to increase both margins and revenue. Mordor Intelligence estimates that the hyper-converged cloud infrastructure market will clock13% annual growth from 2020 to 2025. The growth in Nutanix's software business suggests that it is growing at a faster pace than the industry it operates in.

This makes Nutanix an attractive bet for anyone looking to buy a top stock for the long run.

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A Top Cloud Stock to Buy in 2020 and Hold for the Long Run - The Motley Fool

Exploring the Future of Cloud Computing in 2020 and Beyond – G2

Cloud computing has become a fundamental requirement for most organizations.

With this in mind, cloud computing is massively on the rise in the current day and age. In fact, 81 percent of companies with 1,000 employees or more have a multi-platform strategy. The number is to rise to more than 90 percent by 2024. Between 2018 and 2021, worldwide spending on public cloud services is to grow to 73 percent, from $160B to $277B.

Cloud computing has been around for so many years, and this sudden growth might surprise a lot of the industry players.

Cloud computing became a phenomenon in the early 2000s. However, due to the lack of awareness about the potential of technology, many brands hesitated to adopt it for their products and processes. Bart McDonough, CEO of Agio, believes the recent rapid adoption of cloud is mainly due to the understanding of ease of use and scalability of the technology.

As organizations expand their understanding of the enormous benefits of cloud computing, they are now more willing to conduct workload tests on cloud and even migrate entire applications to the cloud.

Let's take a look at some major moments in cloud computing's recent history.

Since cloud computing simplifies the process of monitoring resource consumption, the brands were able to use it for development and services delivery with a much higher level of confidence. Gradually, real-time streaming services started processing data over the cloud. Capitalizing on the opportunity, Microsoft launched Power BI, a business analytics and intelligence tool with comprehensive interactive visualization.

Tech giants are always eager to unleash breakthroughs to dominate the industry. In October 2019, Google announced a Quantum Breakthrough that could revolutionize cloud computing. Google claims to achieve results that well beyond the limitations of conventional technology.

A quantum machine has significant implications in areas like artificial intelligence. It actually makes todays most powerful supercomputers look like toys. The Google device performs a mathematical calculation in fewer than three and a half minutes. In comparison, a modern supercomputer would require more than 10,000 years to complete the calculation. Thats not all.

Google launched Stadia, a cloud gaming service where users can stream and can play AAA games on the go. All processing is done on the cloud, and users can play the games without requiring specialized gaming hardware. This is a massive breakthrough for gamers who now do not have to invest in expensive hardware.

Kris is the CSO and Co-Founder of Egnyte. He is responsible for creating and implementing Egnyte's global information security and compliance management strategies, policies, and controls that protect all customers content and users.

He notes that the future of cloud computing is on its own very robust track that impacts everyone. The latest news about quantum computing indicates very early theoretical advances that will take many years before it is going to be available to the public. Eventually, the same advances in quantum computing may expand the scope of what is available via cloud computing in general.

The growth of cloud computing will only underscore the importance of getting people to focus on business value and customer acquisition first. The time and energy spent on foundational infrastructure requirements will be significantly offset by the core capabilities available immediately via cloud computing resources. As a result, key metrics like time to value will only become accelerated.

As cloud computing becomes mainstream, organizations are now moving toward adopting it into the in-house processes. As such, almost all industries are witnessing an increase in the use of cloud-based platforms and services.

Traditionally, all the marketing data/metrics (including campaign stats, strategy plan, number of engagement, etc.) were collected and reported separately. A marketer had to sit down with an analyst to connect all the dots to come up with a detailed picture that could then be used for setting up a future course of action.

A cloud-based marketing platform is an end-to-end digital marketing platform that integrates with marketing tools such as emails, analytics tools, and social management measurement tools. All integrated data helps marketers build and optimize marketing strategies. The cloud-based marketing solution also allows simplifies the execution and management of multi-channel campaigns (social media, mobile, email, and web).

The purpose of the marketing cloud platform is to help develop a great marketing strategy, improve customer engagement, and increase return on investment.

Gone are the days when the search for information required a library. These days, digitally-enabled classrooms to allow students to create and submit presentations online; attend classes remotely through web conferencing; and collaborate and participate in globally distributed projects.

Hospital records before the era of cloud-based health management systems were notorious for their bulk. To figure out a course of treatment, hospital staff has to wade through a mountain of forms and files to discover patient history from paper files. Fast forward to today, all data is on secure cloud solutions. Information sharing and access among all relevant stakeholders (medical professionals and insurance) is a breeze.

Cloud-based solutions ensure excellent and timely treatment without unnecessary delays. Recently a remote surgery was performed from thousand of miles away. Such innovation could revolutionize the healthcare industry.

RELATED: Read about other high technologies like artificial intelligence making noise in the world of healthcare.

The future is bright for cloud computing. Analysts at IDC estimate that the field will evolve rapidly in the coming years, with almost 75% of data operations will be carried out outside the normal data center. Moreover, 40% of organizations will deploy cloud technology, with edge computing becoming an integral part of the technological setup. Also, a quarter of end-point devices will be ready to execute AI algorithms by the year 2022.

Cloud computing facilitates businesses to focus on achieving their goals, with performance at the core, without any fuss. When a five-pronged cloud computing phenomenon that leverages flexibility, agility, security, mobility, and scalability combines with existing processes, the level of business performance rises to a new level. The idea is to help businesses get computational power they need, and how they want it to work for them, and move on.

Software development agencies tend to follow the agile framework. With a launch-and-learn mindset working to their advantage, they work on continuous integration of processes and delivery, meanwhile, publishing many open-source software.

Online security firms are now using zero-trust enterprise security model from Google, instead of the traditional firewall standards. This practice has led them to let users work remotely from any location on Earth, with approved devices. With a managed hosting service working behind-the-scenes, users do not have to bother about the network level access to secure their devices. Therefore, the devices security remains intact.

Data analytics firms now work on continuous data help businesses make informed decisions. The data is first fed into a machine learning system to get better results out of it. Today, every process has become continuous. This means we cant label any process or product as completely finished.

Even the transition into this new digital world is a continuous journey. There are always updates and iterations being released by the organizations, thus testifying the process is in a continuous flow.

Similarly, the security is not a fixed process, but rather it a steady flow of events, an ongoing practice that demands continuous upgrades. Also, data analytics is not just faster, but iterative. That being said, cloud computing calls for not just working faster, but working in a more efficient way. This is why cloud computing unleashes a completely new set of possibilities to think about and work within the technological environment.

This fact brings us to the point that technological transition has created a strong social impact, both within the organizations and the people whom these businesses work with.

Document sharing is one of the best examples of how collaborative technology works. It favors the continuous process of writing, editing, commenting, and publishing a document. Similarly, developing videos with a click of a button has strengthened the value of communication, thereby speeding up the actions.

Availability of rich data streams has transformed the way to design a prototype with an emphasis on personalization.

When it comes to product development lifecycles, cloud-connected objects are having a positive impact on the whole process, thereby forcing the organizations to make frequent updates to the software they offer to the users. New versions of highly effective subscription-based model is one such example. Last year, Tesla had to improve the brakes of the cars with an over-the-air download. This is an example how cloud-connected objects influenced an alteration in the hardware system of a car. Both these examples pinpoint the fact that today, customers have become more conscious about the products they buy.

This is why they want businesses to understand their wishes and pain points in advance and anticipate what they want next. This paradigm shift in the thinking of a common customer has raised the bar for competitors within the industry.

Businesses like logistics and supply chain have also embraced the technological shift. Such organizations are readily accepting streaming capabilities. Blockchains have triggered a revolution in real-time payments and virtual warehousing. Similarly, Uber-like delivery services have played their part in making the payment processes continuous. Shippabo is a company that optimizes route management and compliance to make operations fast, thanks to the cloud-based infrastructure.

Just a decade ago, no one could have imagined the specifications of the consoles and mobile devices that we use today. Similarly, the application of cloud in the form of the popular marketing cloud platforms, healthcare-based cloud platforms, and the emerging cloud-based educational applications are poised to change the way we work (and play) in the coming years.

With this rapid growth, all major processing and computational capabilities will soon move on to the cloud and the end-users will be able to leverage this power anywhere through an on-demand consumption model.

The best part? Users no longer have to invest in equipment because the cloud would take over the current endpoint hardware processing requirements. For brands, this opens up a whole new avenue of building computational and processing infrastructure that users could access through simple UI. The main challenge in this scenario is to ensure the sustained and consistent delivery of these services to a globally distributed user base and continue to provide value through new features and services.

As many futurists envision, cloud computing will give rise to a whole new breed of API and microservices that would become the main service/product delivery channel for the brands. This would simplify the process of development for the end users because now they can ship releases faster without getting bogged down into code writing issues.

Lets dive into some cloud computing trends making waves in 2020.

Quantum computing will transform the business world like never before. Companies like Google are leveraging the principles of quantum physics to make breakthroughs by developing next-generation products for the end users. The supercomputers are the best example of how quantum computing can work wonders if put into proper use. Corporations like IBM, Microsoft, Google, AWS are making efforts to gain competitive advantage over their competitors by adapting to the new quantum technology.

Quantum computers use the principles of quantum physics to perform complex algorithm calculations and process massive datasets in quick time. These powerful computers can be used to encrypt electronic communication and help in augmenting cybersecurity.

Financial institutions can use quantum computing to their advantage by making the transaction process faster. Consequently, this practice will save more time, making the process efficient. In quantum computing, data is stored in qubits, making the process much quicker, as qubits is a simpler form of data. Using quantum computing will also reduce any additional costs required to incur new resources to handle already optimized operations.

Automation helps business organizations improve their productivity without spending too much time and effort. The automation tools available to us have proved to be very important when it comes to addressing errors in business processes, meanwhile streamlining them to generate fruitful results.

For instance, developers can make changes to their websites hosted on the cloud before going live. If anything goes wrong, they can restore an older version of the website without affecting the sales process or user experience. As soon as the website goes live, it starts getting traffic. Opting for cloud means there will be more data consumption involved. Managing applications and routine tasks can become tedious. Developers can use automation to get rid of the manual process they have to use to carry out daily operations.

Many organizations take security for granted. They simply misunderstand the concept of cloud-based security. The high-ups in the organizations think that the cloud service provider must also be responsible to provide cloud security. Thats where the misunderstanding lies. The fact remains that the security compliance is a shared responsibility of all the stakeholders involved overseeing the security operations of the organization, by proper resource usage.

It is important to note that for a SaaS company the cloud service provider offers an extra layer of security along with the already built in features that come with the service package. In case of shared hosting, the user(s) must implement security measures and compliance to enhance the application of existing services and policies.

We live in the world of Internet of Things (IoT). With every device connected to the internet businesses now encourage use of IoT in almost every aspect of organizational operations. The IoT devices can leverage cloud computing as it offers, high speed, performance, flexibility, and ample storage space to keep the data safe, find resources, and share information among different users within the same space.

There is another phenomenon the Internet of Everything (IoE) an offshoot of IoT that helps us interact with each other via connected devices to a particular network. This concept is continuously evolving and it is about time when everything we use will be interconnected to an already populated network of devices.

The serverless paradigm is the next revolution in waiting, according to the CTO of Amazon. The concept of serverless paradigm relates to the fact that it facilitates cloud to execute a code snippet without any hassles for the developers.

Using this approach developers can divide software into chunks of code to upload on cloud to address customers desires, thereby delivering valuable experience. This practice ensures faster release cycle for software. Amazon Web Services (AWS) has already started using the serverless paradigm to its advantage.

As cloud computing continues to make inroads in enterprise worlds, all stakeholders are looking forward to the evolution of the model. As things stand today, almost every significant innovation such as blockchain, artificial intelligence, AR/VR, robotics, and IoT rely on cloud computing technology.

Its not just computational power, networking speed, or storage capacity that makes cloud computing great. Those are just operational metrics that better technology would eventually change and replace over time. The real value of technology is what it does, not what its made of.

While you're pondering the future of cloud computing and its benefits, find the best cloud file storage software on the marketplace to use today!

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Exploring the Future of Cloud Computing in 2020 and Beyond - G2

Is Cloud Computing the Answer to Genomics Big Data… – Labiotech.eu

The success of the genomics industry has led to generation of huge amounts of sequence data. If put to good use, this information has the potential to revolutionize medicine, but the expense of the high-powered computers needed to achieve this is making full exploitation of the data difficult. Could cloud computing be the answer?

Over the last decade, genomics has become the backbone of drug discovery. It has allowed scientists to develop more targeted therapies, boosting the chances of successful clinical trials. In 2018 alone, over 40% of FDA-approved drugs had the capacity for being personalized to patients, largely based on genomics data. As the percentage has doubled over the past four years, this trend is unlikely to slow down anytime soon.

The ever-increasing use of genomics in the realm of drug discovery and personalized treatments can be traced back to two significant developments over the past decade: plunging sequencing costs and, consequently, an explosion of data.

As sequencing technologies are constantly evolving and being optimized, the cost of sequencing a genome has plummeted. The first sequenced genome, part of the Human Genome Project, cost 2.4B and took around 13 years to complete. Fast forward to today, and you can get your genome sequenced in less than a day for under 900.

According to the Global Alliance for Genomics and Health, more than 100 million genomes will have been sequenced in a healthcare setting by 2025. Most of these genomes will be sequenced as part of large-scale genomic projects stemming from both big pharma and national population genomics initiatives. These efforts are already garnering immense quantities of data that are only likely to increase over time. With the right analysis and interpretation, this information could push precision medicine into a new golden age.

Are we ready to deal with enormous quantities of data?

Genomics is now considered a legitimate big data field just one whole human genome sequence produces approximately 200 gigabytes of raw data. If we manage to sequence 100M genomes by 2025 we will have accumulated over 20B gigabytes of raw data. The massive amount of data can partially be managed through data compression technologies, with companies such as Petagene, but that doesnt solve the whole problem.

Whats more, sequencing is futile unless each genome is thoroughly analyzed to achieve meaningful scientific insights. Genomics data analysis normally generates an additional 100 gigabytes of data per genome for downstream analysis, and requires massive computing power supported by large computer clusters a feat that is economically unfeasible for the majority of companies and institutions.

Researchers working with large genomics datasets have been searching for other solutions, because relying solely on such high-performance computers (HPC) for data analysis is economically out of the question for many. Large servers require exorbitant amounts of capital upfront and incur significant maintenance overheads. Not to mention, specialized and high-level hardware, such as graphics processing units, require constant upgrades to remain performant.

Furthermore, as most HPCs have different configurations, ranging from technical specs to required software, the reproducibility of genomics analyses across different infrastructures is not a trivial feat.

Cloud computing: a data solution for small companies

Cloud computing has emerged as a viable way to analyze large datasets fast without having to worry about maintaining and upgrading servers. Simply put, Cloud computing is a pay-as-you-go model allowing you to rent computational power and storage. and its pervasive across many different sectors.

According to Univa the industrial leader in workload scheduling in the cloud and HPC more than 90% of organizations requiring high performance computing capacity have moved, or are looking into moving to the cloud. Although this is not specific for companies in the life sciences, Gary Tyreman Univas CEO suggests that pharmaceutical companies are ahead of the market in terms of adoption.

The cloud offers flexibility, an alluring characteristic for small life science companies that may not have the capital on-hand to commit to large upfront expenses for IT infrastructure: HPC costs can make or break any company. As a consequence, many opt to test their product in the cloud first, and if numbers look profitable, they can then invest in an in-house HPC solution.

The inherent elasticity of cloud resources enables companies to scale their computational resources in relation to the amount of genomic data that they need to analyze. Unlike with in-house HPCs, this means that there is no risk money will be wasted on idle computational resources.

Elasticity also extends to storage: data can be downloaded directly to the cloud and removed once the analyses are finished, with many protocols and best practices in place to ensure data protection. Cloud resources are allocated in virtualized slices called instances. Each instance hardware and software is pre-configured according to the users demand, ensuring reproducibility.

Will Jones, CTO of Sano Genetics, a startup based in Cambridge, UK, offering consumer genetic tests with support for study recruitment, believes the cloud is the future of drug discovery. The company carries out large data analyses for researchers using its services in the cloud.

In a partnership between Sano Genetics and another Cambridge-based biotech, Joness team used the cloud to complete the study at a tenth of the cost and in a fraction of the time it would have taken with alternative solutions.

Besides economic efficiency, Jones says that moving operations to the cloud has provided Sano Genetics with an additional security layer, as the leading cloud providers have developed best practices and tools to ensure data protection.

Why isnt cloud computing more mainstream in genomics?

Despite all of the positives of cloud computing, we havent seen a global adoption of the cloud in the genomics sector yet.

Medley Genomics a US-based startup using genomics to improve diagnosis and treatment of complex heterogeneous diseases, such as cancer moved all company operations to the cloud in 2019 in a partnership with London-based Lifebit.

Having spent more than 25 years at the interface between genomics and medicine, Patrice Milos, CEO and co-founder of Medley Genomics, recognized that cloud uptake has been slow in the field of drug discovery, as the cloud has several limitations that are preventing its widespread adoption.

For starters, long-term cloud storage is more expensive than the HPC counterpart: cloud solutions charge per month per gigabyte, whereas with HPC, once youve upgraded your storage disk, you have no additional costs. The same goes for computing costs: while the cloud offers elasticity, Univas CEO Tyreman says that the computation cost of a single analysis is five times more expensive compared to an HPC solution in many scenarios. However, as cloud technologies continue to progress and the market becomes increasingly more competitive among providers, the ongoing cloud war will likely bring prices down.

Furthermore, in the world of drug discovery, privacy and data safety are paramount. While cloud providers have developed protocols to ensure the data is safe, some risks still exist, for example, when moving the data. Therefore, large pharmaceutical companies prefer internal solutions to minimize these risks.

According to Milos, privacy remains the main obstacle for pharmaceutical companies to fully embrace the cloud, while the cost to move operations away from HPCs is no longer a barrier. While risks will always exist to a certain extent, Milos highlighted that the cloud allows seamless collaboration and reproducibility, both of which are essential for research and drug discovery.

Current players in the cloud genomics space

Cloud computing is a booming business and 86% of cloud customers rely on three main providers: AWS (Amazon), Azure (Microsoft) and Google Cloud. Although the three giants currently control the market, many other providers exist, offering more specialized commercial and academic services.

Emerging companies are now leveraging the technology offered by cloud providers to offer bioinformatics solutions in the cloud, such as London-based Lifebit, whose technology allows users to run any bioinformatics analyses through any cloud provider with a user-friendly interface effectively democratizing bioinformatics for all researchers, regardless of skill set.

Federation is a concept from computing now used in the field of genomics. It allows separate computers in different networks to work together to perform secure analysis without having to expose private data to others, effectively removing any potential security issues.

The amount of data organizations are now dealing with has become absolutely unmanageable with traditional technologies, and is too big to even think about moving, explained Maria Chatzou Dunford, Lifebits CEO and co-founder.

When data is moved, you increase the chances of having it be intercepted by third-parties, essentially putting it at significant risk. Data federation is the only way around this unnecessary data storage and duplication costs, and painstakingly slow data transfers become a thing of the past.

Getting ready for the genomics revolution

Its no secret that genomics is key to enabling personalized medicine and advancing drug discovery. We are now seeing a genomics revolution where we have an unprecedented amount of data ready to be analyzed.

The challenge now is: are we ready for it? To be analyzed, big data requires massive computation power, effectively becoming an entry barrier for most small organizations. Cloud computing provides an alternative to scale analyses, while at the same time, facilitating reproducibility and collaboration

While the cost and security limitations of cloud computing are preventing companies from fully embracing the cloud, these drawbacks are technical and are expected to be resolved within the next few years.

Many believe that the benefits of the cloud heavily outweigh its limitations. With major tech giants competing to offer the best cloud solutions a market valued at $340 billion by 2024 we might be able to expect a drastic reduction in costs. While some privacy concerns may still exist, leading genomics organizations are developing new tools and technologies to protect genomic data.

Taken as a whole, it is likely that the cloud will be increasingly important in accelerating drug discovery and personalized medicine. According to Univas Tyreman, it will take around 1015 years to see the accelerated transition from HPC to cloud, as large organizations are often conservative in embracing novel approaches.

Distributed big data is the number one overwhelming challenge for life sciences today, the major obstacle impeding progress for precision medicine, Chatzou Dunford concluded.

The cloud and associated technologies are already powering intelligent data-driven insights, accelerating research, discovery and novel therapies. I have no doubt we are on the cusp of a genomics revolution.

Filippo Abbondanza is a PhD candidate in Human Genomics at the University of St Andrews in the UK. While doing his PhD, he is doing an internship at Lifebit and is working as marketing assistant at Global Biotech Revolution, a not-for-profit company growing the next generation of biotech leaders. When not working, he posts news on LinkedIn and Twitter.

Images via E. Resko, Lifebit and Shutterstock

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Is Cloud Computing the Answer to Genomics Big Data... - Labiotech.eu