The new normal has accelerated Data and AI adoption manifold, and this has clearly shown the benefits of investing in a tech enabled future. This is enabling organizations, individuals and governments across the country and the world to not only rebound stronger from the crisis, but to reimagine a new future. The banking and financial services industry has been at the heart of this change. A critical determinant of Indias economic success, weve seen the sector embrace large scale digital transformation in the last few months, paving the way for the future of banking in India.

Harnessing the power of AI will continue to be a vital enabler in that journey. It is becoming existential for every business and will play a key role in Indias economic and social value creation. AI has supported the government and businesses with containment efforts, workforce planning and protection, as well as in restarting the economic engine in a systematic and secure manner. Driving utilization of Data and AI will also be a catalyst in realizing Indias 2025 vision of inclusive development, and a recent NASSCOM report shows that it has the potential to deliver $450-500B for the economy by 2025.

In this environment, building a scalable model for leveraging the full potential of Data and AI will be central to driving unbridled innovation and digital transformation across industries, and particularly in the banking and financial sector. Were already seeing more innovation than ever in fintech as people are depending less on physical wallets and using more of digital payment mechanisms. Financial services organizations have been leveraging AI to enhance customer experience, improve operational efficiency, manage risks, detect frauds, gather data-driven insights, and even streamline regulatory compliance. Were seeing innovative lending products with data driven insights enabling the ability to predict and minimize credit risk as well as analytics-based collection models.

This also has deep implications for financial inclusion and access. Technology platforms built with strong data and AI foundations are enabling contactless banking and remote operability for millions across India. AI is helping build the critical digital infrastructure that will allow every community, urban and rural; every business, small and large; every worker, first-line and knowledge workers; and every person, including people with disabilities to benefit from tech intensity.

AI should be defined not just by what technology can do on its own, but by how it can augment and amplify human effort for people to do more. Banking of tomorrow will combine artificial and human intelligence (AI+HI) to be more collaborative, personalized, inclusive, deliver better products and consumer experience, and built on trust. It is a privilege to collaborate with IDRBT to introduce this paper, and we stay committed to working together with everyone to innovate and reimagine the next phase of growth. Creating an-AI ready ecosystem that enables everyone to leverage the technology for productivity and growth is an imperative for India to leapfrog into the future. This will accelerate the progress towards the mission to empower every person and every organization in India to achieve more.

This post was originally published as a foreword in AI in Banking: A Primer, a whitepaper published by the Institute for Development and Research in Banking Technology (IDRBT) in association with Microsoft.

ByAnant Maheshwari,

President, Microsoft India

The post Banking of tomorrow with human and artificial intelligence appeared first on NASSCOM Community |The Official Community of Indian IT Industry.

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Banking of tomorrow with human and artificial intelligence - Web Hosting | Cloud Computing | Datacenter | Domain News - Daily Host News

The healthcare providers are using cloud computing so that it becomes easy for them to manage the massive amount of data.

FREMONT, CA:For the healthcare sector, cloud computing is not a whole new concept. The implementation of cloud technology has been growing at a frenetic rate in the last few years. According to recent research, the global demand for cloud technology in the healthcare industry is projected to expand by USD 25.54 billion during 2020-2024. The pandemic of COVID-19 has only accelerated this trend.

Even though pandemic effects are still unraveling, it is already evident that not every industry will suffer the same as some have indicated significant improvement. The healthcare and technology industries fall into this group making the worldwide healthcare cloud computing market very promising for the coming years.

The democratization of data and its remote accessibility free up providers and patients in an industry where a large amount of data is generated daily, breaking down geographical constraints on healthcare access.

Here are the top 3 healthcare advantages of cloud computing.

Collaboration

As the healthcare facilities is moving forward with the value-based care payment procedure, the collaboration among physicians, agencies, and even institutions have become essential. With a cloud computing server's help, medical professionals can share data and improve collaboration for better care.

Artificial Intelligence and Machine Learning

There is one sector where AI can be intimidating, and it is healthcare. But AI and machine learning technologies can be a critical solution to help clinical decisions and provide a faster time-to-treatment with the medical professionals' busy deadlines, especially when the world is continuously fighting against a global pandemic and rise of data.

Cloud infrastructure will facilitate the transition of artificial intelligence into conventional healthcare operations and help users handle vast volumes of data as more and more cloud providers incorporate AI and ML into their services.

Data Storage

Electronic medical records, patient portals, mobile applications, and big data analytics have to be dealt with by healthcare providers. It is a lot of data to maintain and analyze, and every in-house facility cannot process it.

Therefore, Cloud computing enables healthcare organizations to store all the information while eliminating unnecessary physical server maintenance expenses.

Check out:Top Healthcare Solution Companies

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What are the Advantages of Cloud Computing in the Healthcare Sector ? - Healthcare Tech Outlook

Cloud computing has garnered massive traction in recent years. As one of the crucial and rapidly developing technologies, cloud computing has enabled many other disruptive technologies such as big data, artificial intelligence, the internet of things (IoT), and others. It has revolutionized many core banking processes, offering a myriad of advantages, including cost savings, usage-based billing, business continuity, agility, interoperability and secure storage, among others.

Earlier, players in the BFSI ecosystem were reluctant towards cloud infrastructure, particularly owing to privacy concerns, security, regulatory requirements, and the complexity of internal and third-party legacy systems integration. With increasing banking services such as payment gateways, online transactions, digital wallets, and omnichannel customer services and more, financial institutions are actively exploring cloud computing applications.

The banking, financial services and insurance industry deals with voluminous amounts of data for an effective banking experience. Rapid technological innovation and digitization are driving the digital revolution in the sector. That being said, banks are investing heavily in cloud environments, public, private and hybrid clouds to make banking processes easier as well as convenient.

The adoption of cloud computing in BFSI delivers substantial advantages to financial services and insurance providers.

By integrating the cloud, financial institutions can capitalize on modular capabilities, thwarting the underutilization that often accompanies the expansion of physical architecture. It can minimize a large up-front capital expenditure by lessening the need for investment in dedicated hardware and software along with the staffing to maintain them. Additionally, it allows banks and insurance companies to focus on core customer-focused functions.

With cloud computing, BFSI companies will be able to respond quickly to changing markets, customer needs and technological demand. It also enables applications to be built, tested and rolled out in a fraction of the time compared with traditional, on-site environments. Integrating the cloud also makes access between parties and institutions easier. Eventually, it assists the banking, financial services and insurance companies to manage the distinct demands in the banking landscape.

Cloud computing offers a complete data backup to information, making it a highly reliable technology in BFSI. As the emerging landscape of fintech across the globe is changing the traditional norms of the BFSI sector, banks are looking to address the pain points of customers from a fresh perspective. Among the challenges is data privacy. By leveraging the hybrid cloud model, banks can secure their data while enjoying the improved flexibility and scalability of the cloud.

Keeping data safe and secure from unauthorized access or damage has always been a significant concern for the financial services industry. Using the cloud can lower risks associated with doubts around data security and traditional technology, such as capacity, redundancy and resiliency concerns. It can give banks more control over security issues.

Banks perform a large number of works, from email to application development and testing, and customer management to data intelligence and storage. However, these processes are more time-consuming and error-prone. Cloud computing significantly removes all the redundant time for such processes, giving more time to employees to work on valuable tasks, hence bolsters productivity.

Moreover, cloud computing has a regulatory advantage. As vendors can completely secure the data or provide partial access to selected data, it can ensure the regulations in databases.

Read more from the original source:

Cloud Computing and Its Advantages in the BFSI Sector - Analytics Insight

A lot of things changed in 2020, but one thing didnt: Effective data management remains a top priority for IT pros, driven by a surge in machine learning, remote operations and cloud computing as major business priorities. New studies from Matillion and IDG Research released in November found that businesses are increasingly moving their data storage to the cloud and value data portability but are still spending too much time on data analysis and still struggling with data control.

Those aren't the only data management trends that gained momentum in 2020: This fall, a market study from Cohesity found that mid-to-large enterprises are interested in data management as a service and want solutions that are customizable and multifunctional. That same study also found that IT decision makers say inefficient data management makes it harder for smaller firms to compete with larger ones.

Just one of many potential examples of the importance of data management came in early December when Google announced its acquisition of Actifio, a data management company that will now become part of Google Cloud.

Data management remains a hot area for investment and acquisitions, like the one made by Google, and that means that data privacy is as well. Even as companies readjust spending priorities amid the ongoing COVID-19 pandemic, executives are still prioritizing investment in data privacy. Even if most jurisdictions arent covered by regulations like CCPA or GDPR, the damage to business security, reputation and client trust that results from a breach or data misuse is a risk.

Here are three of the data analytics and data management trends that took center stage in 2020 with a through-line of effective and secure handling of the increasingly cloud-based enterprise environment.

Data governance and privacy were important in the enterprise space this year and will remain so into 2021. Chief information security officers are increasingly important executives as data stores grow, enterprise becomes increasingly distributed and security threats expand.

One facet of this area is the emergence of legislation that governs the data that companies can collect, store and use. This year, the California Consumer Protection Act came into effect on January 1 and enforcement began on July 1. But many organizations reported that they were unprepared even six months after the law came into effect. The pandemic likely didnt help matters either.

More changes to Californias data privacy legislation will come; voters in the state approved a ballot measure to beef up the CCPA and create a watchdog agency. And some firms, including Microsoft, have already pledged to follow the CCPA requirements nationwide, not just in California.

With a new American president set to enter the White House in January, this data governance and privacy space will be one to watch there could be a push for national regulations. Joe Bidens approach to big tech on this and other issues remains to be seen.

Enterprise investment in hybrid cloud environments has been a big story for a few years. In late 2019, Gartner forecast that worldwide public cloud revenue would grow by 17% this year. But cloud investment took on new and immediate importance as businesses around the world moved to remote operations for safety beginning in the winter and early spring.

Cloud computing will only become increasingly important from here. On December 1, Amazon Web Services began its re:Invent conference with announcements about new services for the public cloud platform, including the inclusion of Apples macOS for cloud computing.

But the increasing value of cloud computing and the increasing number of staffers using cloud environments as they went remote earlier this year means data management continues to be an important area for organizations dealing with ever-increasing amounts of data and shifting permissions for who can access it, and where. Expect cloud computing to continue to impact data management trends in the coming year.

To that last point, the data generated and collected by organizations is no longer the sole province of the IT department being able to analyze, model and act on that data is now a core business requirement for all sorts of employees. Increased data access is now an organizational priority.

Thanks to new software, the increasing integration of machine learning into existing software and the rise of no-code programming, non-IT professionals are increasingly able to gain insights from data and put it to valuable use.

However, this also means that employees who can access data must know how to do to so securely and in line with existing regulations and that permissions for that access are well managed, on site and in the cloud. Thats still a job for IT pros. And data access should still be expanded strategically, as there is a risk of ineffective or damaging data analysis being done by employees who are not properly trained on the available software. While IT may not be the department that educates employees on the best practices for data analysis, they are usually best situated to help assess the data analysis tools and services that their enterprise will buy. These assessment and support demands arent going away and neither are these data management trends.

Read more from the original source:

2020 Data Management Trends: A Focus on Privacy, Cloud and Access - ITPro Today

The ' Cognitive Cloud Computing market' research report now available with Market Study Report, LLC, is a compilation of pivotal insights pertaining to market size, competitive spectrum, geographical outlook, contender share, and consumption trends of this industry. The report also highlights the key drivers and challenges influencing the revenue graph of this vertical along with strategies adopted by distinguished players to enhance their footprints in the Cognitive Cloud Computing market.

The business intelligence report on Cognitive Cloud Computing market offers granular insights on aspects that will shape future industry trends. It identifies the key growth markers as well as the potential opportunities that may augment the profitability in the coming years. In addition, a dedicated section towards addressing the major challenges prevalent in this business sphere is provided.

Request a sample Report of Cognitive Cloud Computing Market at:https://www.marketstudyreport.com/request-a-sample/3096051?utm_source=groundalerts.com&utm_medium=AG

According to the report, the industry is predicted to grow with a CAGR of XX% and accrue significant gains by the end of research period.

Following the disruptions caused by the Covid-19 pandemic, majority of organizations across various industries have restructured their budget to reinstate the profit trajectory for the upcoming years. Our comprehensive analysis provides actionable insights and can help you develop critical approaches to further business expansion.

Major Highlights of the Cognitive Cloud Computing market report:

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Cognitive Cloud Computing Market segments covered in the report:

Regional segmentation: North America, Europe, Asia-Pacific, South America, Middle East and Africa

Product types:

Applications spectrum:

Ask for Discount on Cognitive Cloud Computing Market Report at:https://www.marketstudyreport.com/check-for-discount/3096051?utm_source=groundalerts.com&utm_medium=AG

Competitive outlook:

Report Objectives:

For More Details On this Report: https://www.marketstudyreport.com/reports/global-cognitive-cloud-computing-market-2020-by-company-regions-type-and-application-forecast-to-2025

Some of the Major Highlights of TOC covers:

Executive Summary

Manufacturing Cost Structure Analysis

Development and Manufacturing Plants Analysis of Cognitive Cloud Computing

Key Figures of Major Manufacturers

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Latest Study explores the Cognitive Cloud Computing Market Witness Highest Growt - GroundAlerts.com

PALO ALTO, Calif. & TEL AVIV, Israel--(BUSINESS WIRE)--Ermetic, the cloud access risk security company, today announced it has been named Cloud Security Product of the Year in the 2020 Computing Security Excellence Awards, which celebrate the achievements of the IT industry's leading security companies, solutions, products and personalities. The company was also recently named one of the 10 Hottest Cloud Computing Startups of 2020 by CRN and profiled in an eWEEK product review.

According to Computing, businesses are increasingly turning to the cloud for its flexibility and scalability, but many still cite security concerns as the main barrier to cloud adoption. We wanted to see a solution that could address these fears, with a simple rollout and great protection.

Ermetic made an excellent submission highlighting a fantastic product, one that is unique to the market and solves a specific and well-known problem, said Computing Judge Stu Hirst of Just Eat. Least privilege isnt easy to implement in cloud environments and as companies grow identity and access management becomes often unmanageable.

Understanding and managing cloud entitlements, which span highly dynamic users and machine identities, is manually impossible, said Shai Morag, CEO of Ermetic. Thats why we created the Ermetic platform, to reduce risk and enforce least privilege through automation. Winning the Computing Security Excellence Award is important market validation for the problems that we solve for customers.

The Ermetic analytics-based solution prevents cloud data breaches by automating the detection and remediation of risky entitlements in Infrastructure as a Service (IaaS) and Platform as a Service (PaaS) offerings from Amazon, Google and Microsoft. It automatically discovers all human and machine identities in the cloud, and analyzes their entitlements, roles and policies using a continuous lifecycle approach. By combining analytics with granular, full stack insight, Ermetic makes it possible to enforce least privilege access at scale even in the most complex cloud environments.

About Ermetic

Ermetic enables enterprises to protect cloud infrastructures (IaaS/PaaS) from access-related risks and misconfigurations by maintaining continuous visibility into identities, their entitlements and data usage. By combining analytics with granular, full stack insight, Ermetic makes it possible to enforce least privilege access at scale even in the most complex cloud environments. The company is led by proven technology entrepreneurs whose previous companies have been acquired by Microsoft, Palo Alto Networks and others. Ermetic has received funding from Accel, Glilot Capital Partners, Norwest Venture Partners and Target Global. Visit us at https://ermetic.com/ and follow us on LinkedIn, Twitter and Facebook.

Here is the original post:

Ermetic Selected Best Cloud Security Product of 2020 by Computing Security Excellence Awards - Business Wire

Dive Brief:

In a West Monroe survey of 50 private equity firms and 50 corporate/strategic buyers in the third quarter of 2020, 70% of respondents report plans to acquire up to two tech or software companies in the next 24 months.

Six in every 10 respondents say they postponed or cancelled plans to make a technology acquisition due to the COVID-19 pandemic. Among tech sub-sectors, cloud application and infrastructure software are the most popular targets for acquisition in coming months.

Compared to other industries, the tech sector fared relatively well this year, shielded by some of the biggest pandemic impacts due to increased reliance on the digital space.

Software and tech giants leaned in to the shift with communication and collaboration acquisitions to build out business. Over $500 billion was spent globally on acquiring tech businesses thus far in 2020, Scott Denne, senior research analyst covering tech mergers and acquisitions for 451 Research, told CIO Dive earlier this month.

"These sorts of acquisitions are not new," Denne said. "The overall prices are certainly rising for them, that's more what's new."

As 2021 shapes up to be the year of recovery, tech acquisitions are set to push forward with cloud computing at the helm.

Next year, PwC predicts a "K-shaped recovery" for the software as a service market. The market will be divided into winners and losers, as larger vendors take the opportunity to keep growing through M&A.

"Many companies are shifting to remote work for the longer term and need to pivot to SaaS-based offerings," the PwC Technology Deals Insights: 2021 Outlook said. "Thats making tech companies attractive M&A targets to supplement companies existing capabilities."

The tech space previously centered around web and mobile, but once again, priorities change and acquisitions reflect the new landscape. Immersive and augmented reality, chatbots, smart devices, the internet of things, and other emerging technologies will also be a growing force in the market over the next several years.

While respondents to the West Monroe survey list the IoT and AI sub-sectors as lower acquisition targets, 4% and 8%, respectively, ranked them as top tier targets.

"In this decade, we're accumulating more and more digital touchpoints, digital channels," said Jason Wong, VP, analyst on the App Design and Development team at Gartner, to CIO Dive earlier this month.

The rest is here:

In tech, acquisitions predicted to boom with strong market for cloud - CIO Dive

A comprehensive report onCloud Computing In Industrial IoT Marketwas published by Zion Market Research to understand the complete setup of Cloud Computing In Industrial IoT Market industries. Effective qualitative and quantitative analysis techniques have been used to examine the data accurately. Variable factors that comprise basis for a successful business, such as vendors, sellers, as well as investors are analysed in the report. It focuses on size and framework of global Cloud Computing In Industrial IoT Market sectors to understand the existing structure of several industries. Challenges faced by the industries and approaches adopted by them to overcome those threats has been included. This research report is helpful for both established businesses as well as start-ups in the market. Furthermore, the report is ideally and characteristically punctuated with illustrative presentation. Researchers of this report provide a detailed investigation of the historical records, current statistics, and future predictions.

FREE | Request Sample is Available @https://www.zionmarketresearch.com/sample/cloud-computing-industrial-iot-market

Profiling Key players:Amazon Web ServicesInc., Asigra Inc., CarboniteInc., CISCO, Cumulocity GmBH, Druva Software, DXC Technology Company, FUJITSU, General Electric, Honeywell International Inc., IBM, Intel Corporation, Iron Mountain Incorporated, IROOTECH, LosantIoTInc., Micr

Highlights of the report:

In This Study, The Years Considered to Estimate the Size of Cloud Computing In Industrial IoT Market are as Follows:

History Year: 2014-2019

Base Year: 2019

Estimated Year: 2020

Forecast Year 2020 to 2026

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Table of Content:

Lastly, this report provides market intelligence in the most comprehensive way. The report structure has been kept such that it offers maximum business value. It provides critical insights on the market dynamics and will enable strategic decision making for the existing market players as well as those willing to enter the market.

Inquire more about this report @https://www.zionmarketresearch.com/inquiry/cloud-computing-industrial-iot-market

If you have any special requirements, please let us know and we will offer you the report as per your requirements.

Thanks for reading this article;you can also get individual chapter wise section or region wise report version like North America, Europe or Asia.

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Global Cloud Computing In Industrial IoT Market Size 2020 Top Manufacturers, Share, Opportunities and Forecast to 2026 - The Courier

An interior view of a Switch Edge MOD 15 modular data center. (Image: Switch)

Carsten Baumann, Director of Strategic Initiatives and Solution Architect at Schneider Electric, explores therole of edgecomputing in handling todays big data explosion in themanufacturing sector.

The rise of Industry 4.0 is taking manufacturing plants to the next level, not only in how it is enabling manufacturers to automate and connect devices, but in how they apply data and analytics to make more informed, real-time decisions. Manufacturers are generating high fidelity Industrial Internet of Things (IIoT) data to create a more connected production ecosystem and generate the insights needed to increase efficiency and reliability.

The growth of IIoT data has been dramatic and our reliance on it is growing. In fact, McKinsey & Company estimates that companies will spend between $175 billion and $215 billion on IIoT hardware by 2025, including computing hardware, sensors, firmware and storage.

As the amount of IIoT data being produced increases, so too does the amount of data that needs to be processed and stored. This is driving many manufacturers to rethink traditional strategies involving regional enterprise, colocation or cloud data centers and shift to also include industrial edge computing.

When choosing between industrial edge computing, larger regional enterprise or colocation data centers and cloud data centers, what considerations should manufacturers keep in mind?

Businesses need to explore four main factors about the data in question: volume, variety, value and veracity. Once they do so, itll be easier to determine what IT solutions to invest in to best fit your IIoT applications.

Once businesses evaluate how the above characteristics affect their IIoT applications, theyll be able to determine where their data should be processed, stored and transported. Most modern industrial processes require real-time analysis, meaning it should be done locally in edge data centers rather than the analysis taking place in offsite cloud platforms.

While the hype around edge computing has been growing across industries for years now, theres no denying that the COVID-19 pandemic is acting as a forcing function to get industrial companies more interested in the benefits edge computing provides in supporting remote operations, real-time control and enhanced data-crunching capabilities.

While real-time processing and analytics are a must for most businesses these days, bandwidth, network capacity and cost are also large factors that are driving more industrial companies to the edge as they realize the benefits that enhanced real-time control offers enterprises in todays increasingly complex environment. Analytic results and additional process data may then be transported and stored elsewhere for record keeping, such as traceability and compliance.

As we rely more heavily on IIoT applications, industrial enterprises will require storage and processing solutions that support the agility and efficiency needed in todays increasingly complex and challenging business environment. Theyre turning to edge computing to do just that. In fact, a recent Frost & Sullivan report found that 90% of industrial enterprises will utilize edge computing by 2022. Thats a dramatic shift from a few years ago when the vast majority of enterprises didnt account for edge in their IT strategies.

While the hype around edge computing has been growing across industries for years now, theres no denying that the COVID-19 pandemic is acting as a forcing function to get industrial companies more interested in the benefits edge computing provides in supporting remote operations, real-time control and enhanced data-crunching capabilities. We predict that as we get deeper into the Industry 4.0 era, the industrial edge will only continue to accelerate.

Manufacturers are operating in two different domains the edge control layer, where data is analyzed and decisions are made in real-time, and the apps and analytics layer using Cloud, where data is gathered to create data lakes that can be mined to create further insights and comparisons.

To address the challenges brought on by Industry 4.0 and those that were accelerated because of the COVID-19 pandemic manufacturers should consider leaning more heavily into the industrial edge to improve real-time analysis, reduce latency and improve the amount of data being processed from across the enterprise. By combining the computing power of the apps and analytics layer with the speed of the edge layer, manufacturers can access high-quality insights in real-time to improve reliability, efficiency and, ultimately, operational profitability.

Carsten Baumann is Director of Strategic Initiatives and Solution Architect at Schneider Electric.

Read more:

Manufacturers Must Manage an Explosion of Industry Data Is Edge Computing the Answer? - Data Center Frontier

RnM newly added a research report on the Cloud Computing in Healthcare market, which represents a study for the period from 2020 to 2026. The research study provides a near look at the market scenario and dynamics impacting its growth. This report highlights the crucial developments along with other events happening in the market which are marking on the growth and opening doors for future growth in the coming years. Additionally, the report is built on the basis of the macro- and micro-economic factors and historical data that can influence the growth.

Key Players

The global Cloud Computing in Healthcare market has been comprehensively analyzed and the different companies that occupy a large percentage of the market share in the regions mentioned have been listed out in the report. Industry trends that are popular and are causing a resurgence in the market growth are identified. A strategic profile of the companies is also carried out to identify the various subsidiaries that they own in the different regions and who are responsible for daily operations in these regions.

The key Players Coverd In This Report are: Microsoft,International Business Machines (IBM),Dell,ORACLE,Carestream Health,Merge Healthcare,GE Healthcare,Athenahealth,Agfa-Gevaert,CareCloud

The final report will add the analysis of the Impact of Covid-19 in this report Cloud Computing in Healthcare industry.

Get A Sample Copy https://www.reportsandmarkets.com/sample-request/global-cloud-computing-in-healthcare-market-size-status-and-forecast-2018-2025?utm_source=farmingsector&utm_medium=36

Research objectivesTo study and analyze the global Cloud Computing in Healthcare consumption (value & volume) by key regions/countries, product type and application, history data from 2015 to 2019, and forecast to 2026.To understand the structure of Cloud Computing in Healthcare market by identifying its various sub segments.Focuses on the key global Cloud Computing in Healthcare manufacturers, to define, describe and analyze the sales volume, value, market share, market competition landscape, SWOT analysis and development plans in next few years.To analyze the Cloud Computing in Healthcare with respect to individual growth trends, future prospects, and their contribution to the total market.To share detailed information about the key factors influencing the growth of the market (growth potential, opportunities, drivers, industry-specific challenges and risks).To project the consumption of Cloud Computing in Healthcare sub markets, with respect to key regions (along with their respective key countries).To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market.To strategically profile the key players and comprehensively analyze their growth strategies.

Market segmentationCloud Computing in Healthcare market is split by Type and by Application. For the period 2015-2026, the growth among segments provide accurate calculations and forecasts for sales by Type and by Application in terms of volume and value. This analysis can help you expand your business by targeting qualified niche markets.

Research Methodology:Our market forecasting is based on a market model derived from market connectivity, dynamics, and identified influential factors around which assumptions about the market are made. These assumptions are enlightened by fact-bases, put by primary and secondary research instruments, regressive analysis and an extensive connect with industry people. Market forecasting derived from in-depth understanding attained from future market spending patterns provides quantified insight to support your decision-making process. The interview is recorded, and the information gathered in put on the drawing board with the information collected through secondary research.

The report provides insights on the following pointers:1. Market Penetration: Provides comprehensive information on Cloud Computing in Healthcare offered by the key players in the Global Cloud Computing in Healthcare Market2. Product Development & Innovation: Provides intelligent insights on future technologies, R&D activities, and new product developments in the Global Cloud Computing in Healthcare Market3. Market Development: Provides in-depth information about lucrative emerging markets and analyzes the markets for the Global Cloud Computing in Healthcare Market4. Market Diversification: Provides detailed information about new products launches, untapped geographies, recent developments, and investments in the Global Cloud Computing in Healthcare Market5. Competitive Assessment & Intelligence: Provides an exhaustive assessment of market shares, strategies, products, and manufacturing capabilities of the leading players in the Global Cloud Computing in Healthcare Market

The report answers key questions such as:

What will the market size be in 2026 and what will the growth rate be?

What are the key market trends?

What is driving this market?

What are the challenges to market growth?

Who are the key vendors in this market space?

What are the market opportunities and threats faced by the key vendors?

What are the strengths and weaknesses of the key vendors?

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Table of Contents: Cloud Computing in Healthcare Market

Chapter 1: Overview of Cloud Computing in Healthcare Market

Chapter 2: Global Market Status and Forecast by Regions

Chapter 3: Global Market Status and Forecast by Types

Chapter 4: Global Market Status and Forecast by Downstream Industry

Chapter 5: Market Driving Factor Analysis

Chapter 6: Market Competition Status by Major Manufacturers

Chapter 7: Major Manufacturers Introduction and Market Data

Chapter 8: Upstream and Downstream Market Analysis

Chapter 9: Cost and Gross Margin Analysis

Chapter 10: Marketing Status Analysis

Chapter 11: Market Report Conclusion

Chapter 12: Research Methodology and Reference

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Cloud Computing in Healthcare Market 2020 In-Depth Analysis of Industry Share, Size, Growth Outlook up to 2026| Microsoft,International Business...

The report offers a robust assessment of the worldwide Cloud Computing Data Center IT Asset Disposition (ITAD) Market to know the present trend of the market for the forecast period. Providing a concrete assessment of the potential impact of the COVID-19 within the next coming years, the report covers key strategies and plans prepared by the major players to make sure their presence intact within the global competition. With the availability of this comprehensive report, the clients can easily make an informed decision about their business investments within the market.

The Cloud Computing Data Center IT Asset Disposition (ITAD) market report focuses on the economic developments and consumer spending trends across different countries for the forecast period 2020 to 2026. The research further reveals which countries and regions will have a better standing in the years to come. Apart from this, the study talks about the growth rate, market share as well as the recent developments in the Cloud Computing Data Center IT Asset Disposition (ITAD) industry worldwide. Besides, the special mention of major market players adds importance to the overall market study.

Get Sample Copy of Cloud Computing Data Center IT Asset Disposition (ITAD) Market [emailprotected]

https://www.researchmoz.us/enquiry.php?type=S&repid=2815989

The major vendors covered:

AMIIron MountainCloudBlueApto SolutionsArrowTes-AmmSims RecyclingITRenew

This detailed report also highlights key insights on the factors that drive the growth of the market as well key challenges that are expected to hamper the market growth in the forecast period. Keeping a view to provide a holistic market view, the report describes the market components such as product types and end users in details with explaining which component is expected to expand significantly and which region is emerging as the key potential destination of the Cloud Computing Data Center IT Asset Disposition (ITAD) market.

Moreover, it provides a critical assessment of the emerging competitive landscape of the manufacturers as the demand for the Cloud Computing Data Center IT Asset Disposition (ITAD) is projected to increase substantially across the different regions.

Market segment by Type, the product can be split into

IT Equipment

Support Infrastructure

Market segment by Application, split into

Data Sanitization

Recovery

Recycling

Market segment by Region/Country including:

North America (United States, Canada and Mexico)

Europe (Germany, UK, France, Italy, Russia and Spain etc.)

Asia-Pacific (China, Japan, Korea, India, Australia and Southeast Asia etc.)

South America Brazil, Argentina, Colombia and Chile etc.)

Middle East & Africa (South Africa, Egypt, Nigeria and Saudi Arabia etc.)

Do You Have Any Query Or Specific Requirement? Ask to Our Industry Expert @

https://www.researchmoz.us/enquiry.php?type=E&repid=2815989

Furthermore, the scope of the growth potential, revenue growth, product range, and pricing factors related to the Cloud Computing Data Center IT Asset Disposition (ITAD) market are thoroughly assessed in the report in a view to entail a broader picture of the market.

The research provides answers to the following key questions:

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Cloud Computing Data Center IT Asset Disposition (ITAD) Market Leading Segment, Demand and Growth Analysis over the Forecast period 2020-2026 -...

Microsoft accused of infringing patents related to cloud computing, EPO extends closure of offices and more

In this weeks Patent News Microsoft Inc accused of infringing patents related to cloud computing; Mad Dogg Athletics institutes patent infringement suit against Peloton Interactive; European Commission and EUIPO announce the official launch of Ideas Powered for Business SME Fund;

Microsoft Inc accused of infringing patents related to cloud computing.

A company by the name of Daedalus Blue has filed a lawsuit against Microsoft Inc. for infringing its patents related to cloud computing. Daedulus has named five patents in its lawsuit against the tech-giant, namely U.S Patent Nos. 7,177,886; 7,437,730; 8,381,209; 8,572,612 and 8,671,132. The company has filed the lawsuit in the Western District of Texas and is now seeking a declaratory judgment, a permanent injunction, an award for damages and royalty payments.

Mad Dogg Athletics institutes patent infringement suit against Peloton Interactive

Mad Dogg Athletics Inc., a U.S based company that markets bicycles, has instituted a lawsuit against Peloton Interactive for infringing its patents. The suit has been filed in the United States District Court for the Eastern District of Texas. According to the plaintiff, Pelotons product Peloton Bike+ infringes two U.S Patents 9,694,240 and 10,137,328. Mad Dogg has requested for a jury trial, an award for damages and other forms of relief.

European Commission and EUIPO announce the official launch of Ideas Powered for Business SME Fund

On 18th December 2020, the European Commission and EUIPO announced the launch of a 20 million Euro grant scheme called Ideas Powered for Business SME Fund. The grant scheme was created exclusively to help Small and Medium-sized Enterprises (SMEs) based in Europe to develop IP strategies and protect their IP rights. As per the official website, the grant offersfinancial support in the form of reimbursementsfor IP pre-diagnostic services (IP Scan), design applications and trademarks up to a maximum amount of EUR 1500 per business.

You may click here for more information on the SME Fund.

EPO extends closure of offices

The European Patent Office has announced that its offices in Berlin, Munich and The Hague will remain closed atleast until the 10th of January 2021 from December 24th, 2020 due the COVID situation across most of Europe. Most countries in Europe such as Germany, Spain, Italy, Greece to name a few have already announced a lockdown between now and the 7th of January 2021.

Authored and compiled by Vibha Amarnath

About BIPs Patent Attorneys

The patent news bulletin is brought to you by the patent division of BananaIP Counsels, a top patent and IP firm in India. Led by Senior Partners, Somashekar Ramakrishna, Nitin Nair and Vinita Radhakrishnan, BIPs Patent Attorneys are among the leading patent practitioners in the country. They work with clients such as Mahindra and Mahindra, Samsung, HCL, Eureka Forbes, to name a few. The patent attorneys at BIP have strong technical and legal expertise in areas such as IT/Software, Artificial Intelligence (AI), Machine Learning, Data Analytics, Electronics and Telecommunication, Mechanical, Automotive, Green Energy, Traditional Medicine and Bio/Pharma domains. The firm is a first choice for clients looking for support in patent filing, prosecution, management and strategy in India, and across the world.

This weekly patent news bulletin is a part of their pro bono work, and is aimed at spreading patent awareness. You are free to share the news with appropriate attribution and backlink to the source.

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Microsoft accused of infringing patents related to cloud computing, EPO extends closure of offices and more - IP News Center

Amazon Web Services (AWS) which is the Cloud arm of Amazon has announced that by 2025, it will help 29 million people globally grow their technical skills with free cloud computing skills training.

Teresa Carlson, Vice President of Worldwide Public Sector at Amazon, said that the company will provide training opportunities through existing AWS-designed programmes, as well as develop new courses to meet a wide variety of schedules and learning goals.

We are investing hundreds of millions of dollars to provide free cloud computing skills training to people from all walks of life and all levels of knowledge, in more than 200 countries and territories, Carlson said in a statement during the AWS: re:Invent 2020 annual conference being held in digital mode.

The training ranges from self-paced online courses designed to help individuals update their technical skills to intensive upskilling programmes that can lead to new jobs in the technology industry.

We are building out our library of more than 500 free courses, interactive labs, and virtual day-long training sessions. Individuals looking to learn about cloud technology at their own pace have two robust resources in AWS Training and Certification and AWS Educate, Carlson informed.

In 2020, AWS Training and Certification has launched 50 new digital courses in addition to the hundreds of free courses already available and will continue adding more content and new ways to learn.

We will continue to invest in free digital training and exam preparation courses to help people prepare for AWS Certifications, which show technical expertise working with AWS, she said.

The plan to provide 29 million people around the world with skills training builds on the commitment the company made last year to invest $700 million to train 100,000 Amazon employees.

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Amazon to skill 29mn people in cloud computing by 2025 - Express Computer

On December 16, Chery Automobile Co., Ltd. (Chery) and Huawei Technologies Co., Ltd. (Huawei) concluded an all-round framework agreement for in-depth cooperation in fields such as cloud computing, big data and smart car solutions, to promote the business development of both sides.

Witnessed by Yin Tongyue, Chairman of Chery and Wang Jun, President of Huaweis Smart Car Solutions BU, Gao Xinhua, Vice President of Chery and Chi Linchun, General Manager of Marketing and Sales Service at Huaweis Smart Car Solutions BU signed the agreement.

Under the agreement, the two sides will carry out all-round cooperation in fields such as electrical and electronic architectures of smart cars, intelligent connection, intelligent cockpit, onboard computing, autonomous driving, intelligent energy and Intelligent Vehicle Cloud Services (IVCS). They will jointly explore 5G-based innovative application scenarios, and develop the technologies of 5G+V2X, vehicle-infrastructure cooperation and autonomous driving. Besides, the two sides will cooperate in big data infrastructure, storage, analysis, high-performance computing and informatization, to help Chery speed up its reform in the big data era.

The intelligent connected vehicle is an outcome of the integration of ICT and the traditional auto industry, and ICT-based software and hardware will play a greater role in the future auto industry, said Wang. In this historical context, Huawei will team up with Chery to develop core ICT technologies and help it make good smart cars. It is believed that the cooperation will promote the development of Chinas auto industry. Grasping the consumption trend of future mobility, the two sides will conduct joint exploration and innovation to build software-defined vehicles to create smarter mobility experience for consumers.

Mobile Internet and smart cars have significantly changed more than 100 years of history of the world auto industry, Chery is planning ahead, embracing the changes of the era and accelerating the transformation from traditional vehicles into smart cars and new energy vehicles, said Yin. Huawei is the pride of the Chinese people and its spirit is worth our learning. It is believed that the all-round cooperation between Chery and Huawei will boost the leap of both sides, turn vehicles from mechanical products into software-defined and intelligent products, and help Chinas auto industry master core technologies in fields such as software, intelligent cockpit and chip and go global as Chinas home appliances and mobile phone industries are doing today.

SOURCE: Chery

Read more from the original source:

Chery teams up with Huawei to develop smart cars - Automotive World

ARMONK, N.Y. (AP) IBM says it is breaking off a $19 billion chunk of its business to focus on cloud computing.

The 109-year-old tech company said Thursday it is spinning off its managed infrastructure services unit into a new public company, temporarily named NewCo. The separation is expected to take effect by late 2021.

IBM CEO Arvind Krishna said the split will help IBM focus on its cloud platform and artificial intelligence, while the newly formed company will provide services to manage the infrastructure of businesses and other organizations.

IBMs annual revenue was $77.1 billion last year. Krishna said in April at his first quarterly earnings call as CEO that the company will continue to eliminate software and services that dont align with IBMs top two focus areas for growth: cloud computing and artificial intelligence.

Once a household name for its personal computers, IBM shed its PC business in 2005 and has since become focused on supplying software services to big businesses, governments and other organizations. It has worked to strengthen its cloud computing business but has struggled to compete with top cloud rivals Amazon, Microsoft and Google.

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IBM to spin off $19B business to focus on cloud computing - The Associated Press

The "Cloud Computing in Industrial IoT: Market for Cloud support of IIoT by Software, Platforms, Infrastructure (SaaS, PaaS, and IaaS) including Centralized Cloud Edge Computing for Devices and Objects 2020 - 2025" report has been added to ResearchAndMarkets.com's offering.

This research evaluates the technologies, players, and solutions relied upon for cloud computing in IIoT.

The report analyzes the impact of SaaS, PaaS, and IaaS upon IIoT as well as cloud computing software, platforms, and infrastructure in support of edge computing. The report also assesses market opportunities for cloud computing support of IIoT devices and the objects that will be monitored, actuated, and controlled through IoT enabled processes.

The report includes detailed forecasts for the global and regional outlook as well as by industry vertical, devices, and objects/things from 2020 to 2025.

Cloud computing is moving beyond the consumer and enterprise markets into support for manufacturing and industrial automation of other industry verticals. The Industrial Internet of Things (IIoT) represents a substantial opportunity for both the centralized cloud as a service model for software, platforms, and infrastructure as well as distributed computing wherein IIoT edge computing will enable the ICT industry to leverage real-time processing and analytics.

Target Audience:

Robotics companies

Cloud SPI companies

Manufacturing companies

Systems integration companies

Industrial automation companies

IIoT and industrial service providers

Cloud infrastructure and services companies

Key Topics Covered:

1 Executive Summary

2 Overview

2.1 Cloud Computing

2.2 Cloud Computing Structure

2.3 Traditional Industrial IoT Challenges

2.4 Cloud Computing in Industrial IoT

2.5 Consumer vs. Industrial Cloud Platforms

2.6 Evolution of Fog Computing

2.7 IIoT Cloud Computing Benefits

2.8 Industrial Internet and IIoT

3 IIoT Cloud Computing Ecosystem

3.1 IIoT Cloud Computing Services

Story continues

3.1.1 Infrastructure as a Service

3.1.2 Platform as a Service

3.1.3 Software as a Service

3.2 Cloud Computing Deployment

3.3 IIoT Cloud Computing Applications

3.4 Cloud Manufacturing

3.5 Software Defined IIoT and Industry 4.0

3.6 Smart Connected Enterprise and Workplace

3.7 Cloud Technology in Robotics

3.8 Artificial Intelligence and IIoT Solutions

3.9 IIoT Cloud Computing Challenges

3.10 IIoT Cloud Computing Pricing Models

4 Cloud Computing in IIoT Market Dynamics

4.1 Drivers

4.1.1 Increased Use of Cloud Computing Platforms

4.1.2 Government-favourable policies towards initiatives and innovative efforts

4.1.3 Optimization of operational efficiency and automation

4.2 Challenges

4.2.1 High initial cost

4.2.2 Data Security and Privacy Breaches

5 Case Study: Cloud Computing in IIoT Market

5.1 IoT Use cases of Kemppi

5.2 Smarter Systems for Increasing Customer Productivity Case Study

5.3 Caterpillar's NextGen Human-Machine Interface (HMI) software platform

5.4 Creating Smarter heating and cooling systems with cloud

5.5 Prototyping the Future Automotive Cloud

5.6 Oil and Gas production Smart Case Study

5.7 Rockwell Adapted Microsoft Azure Case Study

5.8 Cloud-first digital transformation

5.9 Eastman Case study for cloud migration

5.10 Data Analytics Improves Transportation Equipment Utilization

6 Industrial IoT Cloud Computing Market

6.1 Global Market Forecasts

6.1.1 Combined Cloud IIoT Market 2020 - 2025

6.1.2 Market by Service Segment 2020 - 2025

6.1.3 Infrastructure Market 2020 - 2025

6.1.4 Software Market 2020 - 2025

6.1.5 Platform Solution Market 2020 - 2025

6.1.6 Market by Cloud Type 2020 - 2025

6.1.7 Private Cloud Computing Market by Deployment 2020 - 2025

6.1.8 Public Cloud Computing Market by Deployment 2020 - 2025

6.1.9 Hybrid Cloud Computing Market by Deployment 2020 - 2025

6.1.10 Market by Industry Vertical 2020 - 2025

6.1.11 Manufacturing Market by Sub-sector 2020 - 2025

6.1.12 Utilities Market by Sub-sector 2020 - 2025

6.2 Regional Market Forecasts

7 IIoT Cloud Connected Devices/Things Forecasts

7.1 Connected Device Forecasts 2020 - 2025

7.1.1 Total Cloud Connected Devices 2020 - 2025

7.1.2 Cloud Connected Devices by Type 2020 - 2025

7.1.3 Cloud Connected Devices by Industry Vertical 2020 - 2025

7.1.4 Cloud Connected Devices by Region 2020 - 2025

7.2 Connected Things/ Objects Forecasts

7.2.1 Total Cloud Connected Things/Objects 2020 - 2025

7.2.2 Cloud Connected Things/Objects by Industry Vertical 2020 - 2025

7.2.3 Cloud Connected Things/Objects by Region 2020 - 2025

8 Company Analysis

8.1 Amazon Web Services (AWS) Inc.

8.1.1 Company Overview

8.1.2 Product and Solutions

8.1.3 Recent Developments

8.2 Cumulocity GmBH

8.3 CISCO Systems Inc.

8.4 SAP SE

8.5 Ampla Soluciones SL

8.6 General Electric (GE)

8.7 AT&T Inc.

8.8 Losant IoT Inc.

8.9 Thethings.io

8.10 XMPro

8.11 Siemens AG

8.12 Robert Bosch GmbH

8.13 IBM Corporation

Original post:

Global Cloud Computing in Industrial IoT Markets, 2020-2025: Technologies, Players, and Solutions - ResearchAndMarkets.com - Yahoo Finance

By David SmithGartner, Inc.

Cloud computing promises that customers will gain advantages from several key propositions: shifting the responsibility and work of running hardware and software infrastructure to cloud providers, leveraging the economics of cloud elasticity, benefiting from the pace of innovation in sync with public cloud providers, and more. Yet some organizations hesitate to commit to a total migration to the public cloud model.

These enterprises use a combination or hybrid of private-cloud-inspired and public cloud styles of computing. Hybrid cloud, however, breaks these aforementioned value propositions: One part of a hybrid cloud is architected, owned, controlled and operated by the customer and the other by the public cloud provider. The customer retains responsibility for their part of the operation but cannot leverage the capabilities (such as the skills, innovation pace, investments and techniques) of the public cloud provider.

Newer generations of packaged hybrid cloud offerings can help reduce the impact of these shortcomings. Distributed cloud, the next generation of cloud computing, retains the advantages of cloud computing while extending the range and use cases for cloud. CIOs can use distributed cloud models to target location-dependent cloud use cases that will be required in the future.

Distributed cloud computingis the first cloud model that incorporates physical location of cloud-delivered services as part of its definition. Historically, location has not been relevant to cloud computing definitions. In fact, location has been explicitly abstracted away from the service, which inspired the term cloud computing in the first place.

Distributed cloud has three origins: Public cloud, hybrid cloud and edge computing. Public cloud providers have supported multiple zones and regions for many years. With packaged hybrid offerings, public cloud services (often including necessary hardware and software) can now be distributed to different physical locations, for instance, the edge.

However, ownership, operation, governance, updates and evolution of the services remain the responsibility of the originating public cloud provider. This is a significant shift from the virtually centralized model of most public cloud services and the model associated with the general cloud concept. It will lead to a new era in cloud computing.

Some might ask if distributed cloud is simply a case of edge computing, and the answer is both yes and no. All instances of distributed cloud are also instances of edge computing. But not all instances of edge computing are distributed cloud. This is because many uses of edge involve a public cloud provider that manages the evolution and ongoing control of the resulting environment.

Cloud services from public cloud providers become distributed out to specific and varied physical locations. Operations being physically closer to those who need the capabilities enable low-latency compute. This also ensures a consistent control plane to administer the cloud infrastructure from public to private cloud and extend consistently across both environments. Taken together, these items can deliver major improvements in performance due to the elimination of latency issues, as well as reduce the risk of global network-related outages or control plane inefficiencies.

Distributed cloud creates strategically placed substations of cloud compute, storage and networking that can act as shared cloud pseudo-availability zones. Gartner uses the term substations to evoke the image of subsidiary stations, for instance, branch post offices, where people gather to use services.

Because distributed cloud substations are the responsibility of the originating public cloud provider, the key cloud value propositions of productivity, innovation and support remain intact. In fact, by 2024, most cloud service platforms will provide at least some distributed cloud services that execute at the point of need.

Other advantages of distributed cloud include:

In practical terms, distributed cloud will evolve in two distinct phases. Phase one will consist of a like-for-like hybrid, where enterprise customers will buy cloud substations to mimic the promise of hybrid cloud and avoid latency-based problems.

These customers will not initially embrace the idea of opening their substations to near neighbours, whether geographical or industry-based, and will keep the substation on their premises to themselves. This will have the effect of enabling true hybrid cloud by having public cloud providers take responsibility for everything.

Phase two, or next-gen cloud, will consist of utilities, universities, city governments and telcos, among others, buying cloud substations and opening them for use by near neighbours. This will begin to establish the idea that distributed cloud represents the foundation of the next generation of cloud computing. This will also reflect the need for the continuum of distributed cloud. Next-generation cloud will work based on an assumption that cloud substations are everywhere much like Wi-Fi hot spots.

In both phases, location becomes more transparent again. They allow customers to specify to a provider, I need X to comply with policies Y and latencies Z, and then let the provider configure automatically and transparently. This could potentially represent future phases as well.

Some questions must be addressed beforethe distributed cloud model can be widely adopted. For example:

In the eyes of the CIO, the distributed cloud concept will guide the roadmap for cloud evolution. It will specifically benefit CIOs seeking new opportunities to reach customers in dispersed environments and those who need location-specific services with reduced latency. Using Phase One like-for-like hybrids without sacrificing cloud value propositions will enable real hybrid cloud computing. Thus, distributed cloud not only ushers in the next generation of cloud in Phase Two, but it also helps build a firmer foundation for hybrid as it exists today.

Gartner analysts will provide additional analysis on cloud strategies and infrastructure and operations trends at the Gartner IT Infrastructure, Operations & Cloud Strategies Conference taking place virtually December 7-10 in the Americas and EMEA.

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Why distributed cloud is the next generation of cloud computing - IT World Canada

Dublin, Oct. 06, 2020 (GLOBE NEWSWIRE) -- The "Cloud Computing in Industrial IoT: Market for Cloud support of IIoT by Software, Platforms, Infrastructure (SaaS, PaaS, and IaaS) including Centralized Cloud Edge Computing for Devices and Objects 2020 - 2025" report has been added to ResearchAndMarkets.com's offering.

This research evaluates the technologies, players, and solutions relied upon for cloud computing in IIoT.

The report analyzes the impact of SaaS, PaaS, and IaaS upon IIoT as well as cloud computing software, platforms, and infrastructure in support of edge computing. The report also assesses market opportunities for cloud computing support of IIoT devices and the objects that will be monitored, actuated, and controlled through IoT enabled processes.

The report includes detailed forecasts for the global and regional outlook as well as by industry vertical, devices, and objects/things from 2020 to 2025.

Cloud computing is moving beyond the consumer and enterprise markets into support for manufacturing and industrial automation of other industry verticals. The Industrial Internet of Things (IIoT) represents a substantial opportunity for both the centralized cloud as a service model for software, platforms, and infrastructure as well as distributed computing wherein IIoT edge computing will enable the ICT industry to leverage real-time processing and analytics.

Target Audience:

Key Topics Covered:

1 Executive Summary

2 Overview2.1 Cloud Computing2.2 Cloud Computing Structure2.3 Traditional Industrial IoT Challenges2.4 Cloud Computing in Industrial IoT2.5 Consumer vs. Industrial Cloud Platforms2.6 Evolution of Fog Computing2.7 IIoT Cloud Computing Benefits2.8 Industrial Internet and IIoT

3 IIoT Cloud Computing Ecosystem3.1 IIoT Cloud Computing Services3.1.1 Infrastructure as a Service3.1.2 Platform as a Service3.1.3 Software as a Service3.2 Cloud Computing Deployment3.3 IIoT Cloud Computing Applications3.4 Cloud Manufacturing3.5 Software Defined IIoT and Industry 4.03.6 Smart Connected Enterprise and Workplace3.7 Cloud Technology in Robotics3.8 Artificial Intelligence and IIoT Solutions3.9 IIoT Cloud Computing Challenges3.10 IIoT Cloud Computing Pricing Models

4 Cloud Computing in IIoT Market Dynamics4.1 Drivers4.1.1 Increased Use of Cloud Computing Platforms4.1.2 Government-favourable policies towards initiatives and innovative efforts4.1.3 Optimization of operational efficiency and automation4.2 Challenges4.2.1 High initial cost4.2.2 Data Security and Privacy Breaches

5 Case Study: Cloud Computing in IIoT Market5.1 IoT Use cases of Kemppi5.2 Smarter Systems for Increasing Customer Productivity Case Study5.3 Caterpillar's NextGen Human-Machine Interface (HMI) software platform5.4 Creating Smarter heating and cooling systems with cloud5.5 Prototyping the Future Automotive Cloud5.6 Oil and Gas production Smart Case Study5.7 Rockwell Adapted Microsoft Azure Case Study5.8 Cloud-first digital transformation5.9 Eastman Case study for cloud migration5.10 Data Analytics Improves Transportation Equipment Utilization

6 Industrial IoT Cloud Computing Market6.1 Global Market Forecasts6.1.1 Combined Cloud IIoT Market 2020 - 20256.1.2 Market by Service Segment 2020 - 20256.1.3 Infrastructure Market 2020 - 20256.1.4 Software Market 2020 - 20256.1.5 Platform Solution Market 2020 - 20256.1.6 Market by Cloud Type 2020 - 20256.1.7 Private Cloud Computing Market by Deployment 2020 - 20256.1.8 Public Cloud Computing Market by Deployment 2020 - 20256.1.9 Hybrid Cloud Computing Market by Deployment 2020 - 20256.1.10 Market by Industry Vertical 2020 - 20256.1.11 Manufacturing Market by Sub-sector 2020 - 20256.1.12 Utilities Market by Sub-sector 2020 - 20256.2 Regional Market Forecasts

7 IIoT Cloud Connected Devices/Things Forecasts7.1 Connected Device Forecasts 2020 - 20257.1.1 Total Cloud Connected Devices 2020 - 20257.1.2 Cloud Connected Devices by Type 2020 - 20257.1.3 Cloud Connected Devices by Industry Vertical 2020 - 20257.1.4 Cloud Connected Devices by Region 2020 - 20257.2 Connected Things/ Objects Forecasts7.2.1 Total Cloud Connected Things/Objects 2020 - 20257.2.2 Cloud Connected Things/Objects by Industry Vertical 2020 - 20257.2.3 Cloud Connected Things/Objects by Region 2020 - 2025

8 Company Analysis8.1 Amazon Web Services (AWS) Inc.8.1.1 Company Overview8.1.2 Product and Solutions8.1.3 Recent Developments8.2 Cumulocity GmBH8.3 CISCO Systems Inc.8.4 SAP SE8.5 Ampla Soluciones SL8.6 General Electric (GE)8.7 AT&T Inc.8.8 Losant IoT Inc.8.9 Thethings.io8.10 XMPro8.11 Siemens AG8.12 Robert Bosch GmbH8.13 IBM Corporation8.14 Microsoft Corporation8.15 C3IoT8.16 Meshify8.17 Sierra Wireless Inc.8.18 Carriots8.19 Intel Corporation8.20 PTC8.21 Uptake Technologies Inc.8.22 TempolQ8.23 Honeywell International8.24 Enterox Systems8.25 Aware360 Ltd.8.26 XILINX Inc.8.27 Echelon Corporation8.28 Real Time Innovation (RTI)8.29 Fujitsu Ltd.8.30 Reali Technologies Ltd

9 Conclusions and Recommendations

For more information about this report visit https://www.researchandmarkets.com/r/6ecf02

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

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Cloud Computing in Industrial IoT Report 2020: The Impact of SaaS, PaaS, and IaaS Upon IIoT as Well as Cloud Computing Software, Platforms, and...

The onset of the COVID-19 pandemic has seen enterprises rapidly adapt and transform to enable digital demand in cloud computing. But can the same be said about governments?

These age-old and traditionalist institutions can often be perceived as slow to embrace digital transformation. But, whether its connecting and drawing insight from city-wide Internet of Things (IoT), or reversing entire tax systems in a matter of days, can cloud computing meet the demands placed on the public sector?

The booming uptake of the cloud in recent months has brought a realization that digital transformation can happen anywhere on any timescale. The global pandemic has taken rollouts to the extreme, with previously seven-year digital transformation plans being accelerated to just four days to get benefits out to citizens in need.

The UK government needed to distribute fiscal stimulus at speed following the COVID-19 outbreak, and it turned to cloud computing solutions to help run its entire national tax system in reverse.

The governments cloud strategy makes clear that cloud technology, when properly implemented, has the potential to improve the speed of delivery while increasing security and creating opportunities for organizations to innovate.

That said, there has also been a call for government organizations and functions to work together more effectively across functions to take full advantage of cloud computing solution benefits. There is also an acknowledgment that due to its sheer vastness, organizations need to be wary that there is not a one-size-fits-all solution when it comes to cloud-based technology.

We recognize that one size does not fit all when it comes to the use of public cloud, as many of the organizations we have spoken to have taken valid, and sometimes opposing, strategic decisions. This is often because either cloud technology is so versatile that the same outcome can be achieved in different ways, or because organizations have made decisions based on their unique maturity or capability, said government officials.

Another example of cloud computings effectiveness is in the Netherlands water management system. With one-third of the country below sea level, transparency in water management is paramount for both efficiency and public safety.

Cloud computing helped to analyze real-time data from 15,000 sensors to identify changes in infrastructure and water flow so the government could act quickly and with precision to mitigate potential flooding.

In addition, sensors in streets work in tandem with weather forecasts to predict whether gritting roads for icy conditions would be a waste of money. Predictive analytics applications have proven to have a great effect on city budgets as well as human lives which have ultimately been made possible with the scale of the cloud.

Rotterdam skyline with Erasmus bridge. One-third of the Netherlands is below sea level. Source: Shutterstock

You may not think of a government or city council as having a large IoT estate, said Microsofts director of smart infrastructure, Daniel Sumner, but think of light poles, luminaries, air quality sensors, water meters, and water quality management systems. All of these are connected and generating a huge amount of data.

Prior to Microsoft, Daniel Sumner worked in biosurveillance at the US Department of Homeland Security and used analytics to understand new health threats.

During this period Sumner cites two constant challenges. One was storing data and remaining compliant; the other was managing a large collection of tools to enable machine learning and predictive analytics, allow visualization and dashboard, and for optimization purposes, he said in an interview with Global Government Forum.

Sumner realized a clear need for an end-to-end cloud analytics solution was key in bringing these tools together, and to secure and scale a platform to host them on.

Sumner predicted that customer satisfaction will eventually go a long way in motivating government decisions around cloud computing solutions and data. As citizen experiences continually improve, expectations will rise. Citizens are expecting a level of performance that they experience in the consumer world, added Sumner.

While governments have the responsibility to keep citizens safe, by providing faster access to innovation and improving citizen services, cloud computing solutions are proving to be an agile option in strenuous circumstances. The ability to quickly conjure up virtual machines to test and scale ideas can be an invaluable asset in rolling out new services in days, as opposed to months or even years.

Read more:

Cloud computing: The future of public sector analytics? - TechHQ

SANTA CLARA, Calif.--(BUSINESS WIRE)--Volterra, an innovator in distributed cloud services, today announced it has been named a Cool Vendor in Cloud Computing in the September 2020 Cool Vendors in Cloud Computing report1 by Gartner. The report states innovation in cloud computing continues to accelerate at a rapid pace in cloud infrastructure and platform services. CIOs should assess these Cool Vendors, who are disrupting the cloud market with their innovative approach in enabling operationalization of cloud-native platforms.

Enterprises and service providers are rapidly modernizing their application development through microservices and containers, as well as their deployment by distributing them across clusters and clouds. As cited in the report, Gartner believes that in the future, cloud services will be more distributed beyond centralized cloud regions to different physical locations such as the data center and the edge. CIOs will increasingly leverage cloud-native platform services such as containers and serverless functions to modernize and build new applications.

But this creates a key challenge for DevOps and NetOps teams to evolve their application networking and security, as well as platform services, to be cloud-native and support microservices, distributed workloads and multi-cloud environments.

Volterras distributed cloud services platform is based on two integrated SaaS-based services -- VoltMesh for app networking and security, and VoltStack for app platform services. They are augmented by the companys global app delivery network (ADN), which offloads and secures critical workloads closer to end users for maximum performance and availability.

"We are thrilled to be recognized as a Gartner Cool Vendor in Cloud Computing," said Ankur Singla, Volterra co-founder and CEO. We have a unique approach to integrating key application networking, security and delivery services, and then offering them as a simplified SaaS platform, can address core challenges for both application and I&O teams.

The Volterra distributed cloud services platform is available today as a free service for base users with two multi-cloud clusters and a paid enterprise subscription for larger footprint and/or globally-distributed deployments.

[1] Gartner, Cool Vendors in Cloud Computing, Sid Nag, Arun Chandrasekaran, Raj Bala, Craig Lowery, 17 September 2020. Gartner subscribers can view the full report here.

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About Volterra

Volterra provides a distributed cloud platform to deploy, network and secure applications across multi-cloud and the edge. Small businesses to Fortune 100 companies and global telcos are using Volterra to deploy and operate distributed applications through a consistent set of cloud services, end-to-end visibility and control. DevOps teams can manage large sets of applications and infrastructure with less complexity. NetOps teams can simplify app-to-app networking and security across clouds.

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Volterra Named a 2020 Cool Vendor in Cloud Computing by Gartner - Business Wire