Monthly Archives: May 2020

Apple has hired several well-known software engineers with cloud computing experience in recent months, according to a report from the tech site. Protocol.

The gamut of employees Apple has hired has created "a stir" in the "tight-knit cloud community," and it is a sign that Apple may be planning to build a serious cloud infrastructure to compete with Amazon, Microsoft, and Google. .

Employees have experience in containers and Kubernetes. Michael Crosby, for example, known as one of the container engineers in existence today, joined Apple in 2020. Arun Gupta, who worked at Amazon Web Services, joined Apple in February and leads Apple's open source efforts. . Another former AWS employee who worked in managed container services, Maksym Pavlenko, also moved to Apple. Francesc Campoy, a former Google employee, is now at apple working on Kubernetes, an open source container orchestration platform that enables managing containerized applications between hosts.

Apple has also listed multiple job openings that suggest it is working on new tools for its internal software development teams.

Apple already has a massive cloud-based platform spanning iCloud, the App Store, Apple TV +, Apple Music, and more, but it doesn't measure up to the cloud technology used by companies like Amazon, Microsoft, Google, Facebook and Netflix

Apple announced in 2018 plans to invest $ 10 billion in data center construction, and in 2019 it joined the Cloud Native Computing Foundation that houses Kubernetes and containers.

Read more here:

Apple enters the wave of cloud computing recruitment - NewsDio

12 May 2020

The collaboration will focus on building a portfolio of new research projects relating to AI, robotics, cyber-physical systems, human-centred computing, and support to the Universitys new Lighthouse Doctoral Scholarships.

This new university-industry collaboration, supported by a 7 million gift from AWS to the Mathematical, Physical and Life Sciences Division, will accelerate advances in AI and Data Science across the entire research portfolio of the University.

Professor Patrick Grant, Pro-Vice-Chancellor (Research) at the University of Oxford, said, Cloud computing is an essential part of modern research. A streamlined operating model for using cloud services will benefit all of our researchers. The Oxford Robotics Institute, the Cyber Physical Systems Group, and the Human Centred Computing group are leading the initial projects in the short term, but I look forward to growing the collaboration to bring research benefits across our research work more broadly."

Max Peterson, VP International Sales Worldwide Public Sector, AWS, said: "We are excited about this collaboration with the University of Oxford. With AWS, the University will be able to accelerate time-to-science as multiple, large experiments can be conducted in parallel with greater ease and in less time.

By driving cost down, researchers can dramatically increase the scale of computational experimentation. The collaboration demonstrates how academia can use the cloud to deliver excellent science with greater speed, flexibility and security, compared to using on-premises data centres. Through our donation, we will also support a new generation of researchers accessing cloud-native tools and technology for research through the Universitys Lighthouse Doctoral Scholarships program.

Oxford University has a vibrant, large and growing programme in Data Science, AI and Robotics research and development. To support and inspire the research students and staff, access to fast-moving, state-of-the-art large-scale computing resources is critical.

AWS, one of the leading global cloud providers, offers secure, reliable, scalable, low-cost cloud infrastructure that underpins millions of customers around the world and this collaboration will significantly accelerate the cloud-based research conducted at the University.

Professor Ingmar Posner, Head of Oxfords Applied AI Lab and founding Director of the Oxford Robotics Institute, said, Reliable and scalable compute infrastructure is a cornerstone of a cutting-edge research agenda in Robotics, Data Science and AI. The bold vision developed jointly by the University and AWS is geared not only towards enabling the sustainable provision of this infrastructure here in Oxford but to provide a blueprint of engagement for others to follow. This generous 7M gift from AWS will enable us to start something truly exceptional - in terms of research here at Oxford but also looking ahead at enabling the broader research landscape."

This initiative will drive the creation of cloud-first processes for research, including international collaboration, governance, reproducibility, publishing and translation, said Professor Nick Hawes of the Oxford Robotics Institute, coordinator of the activity within the human-machine collaboration initiative.

This first Oxford-AWS strategic collaboration will create eight research projects in topics around autonomy in human contexts across the Departments of Engineering and Computer Science. These will speed the development of a larger AI and robotics ecosystem over the coming years, involving over 50 organisations (universities and companies and public sector stakeholders), and over 60 postdoctoral researchers and PhD students in joint projects.

Professor Marina Jirotka, Professor of Human-Centred Computing, added, This gift will open up many amazing opportunities. My team is excited to expand our work on the ethical black box for autonomous robots and lay the foundations for an Institute of Responsible Technology. We look forward to extending the impact of our responsible innovation work into industry."

Professor Niki Trigoni leads the Cyber Physical Systems group, which focuses on infrastructure-free indoor positioning systems, human-robot interaction and autonomous collaboration systems for workplaces ranging from hospitals to office environments and warehouses. The group has set up an international centre-to-centre collaboration, across the UK, the US and Australia.

We are focusing on building state of the art situation awareness algorithms for blue light emergency services that combine a variety of sensing modalities - inertial, radio, visual, mmWave and thermal. This additional cloud infrastructure will enable efficient, often health/life-critical solutions for human-machine collaborations in the workplace and beyond, Professor Trigoni concluded.

See the article here:

- Oxford University and Amazon Web Services create a test-bed for cloud-based research - Design Products & Applications

Given todays challenges with the at home economy, schooling & zooming, we need to focus more than ever on cleaning up our house and our Data Center. The ongoing trend toward multiple computing models, with workloads spread across on-premise, public cloud and hybrid environments, data center managers require more visibility and operational control than ever before. Subsequently, server asset management is essential when IT staff are making decisions based on the available computation and storage capacity. But with such an overwhelming number of IT assets to track and monitor, especially in large-scale data centers, the task of server asset management has gradually become an efficiency bottleneck.

Enterprises and cloud service providers (CSPs) very often manually maintain and manage server assets through a configuration management database (CMDB). Asset information includes CPU, memory, hard disk model, serial number, capacity and other information.

However, asset management solutions of this kind usually offer limited scope and cannot be easily integrated into existing systems. Moreover, this method presents a number of problems, such as low data entry efficiency, the failure to update data in real time, and the inability to track server component maintenance updates.

Additionally, many large data centers remain hamstrung by the outsourced hardware maintenance model.

With this approach, an operations and maintenance center confirms a hardware failure and then submits work orders to the onsite hardware supplier, and after the field personnel completes the batch replacement of parts, they provide feedback to the remote operations and maintenance center through the work order system.

This mode has glaring efficiency problems. The feedback information is slow, and manual remote login to the server is needed to confirm whether the parts were correctly replaced, as required.

Adopting a Lean Asset Management Approach for Improved Data Center Efficiency

Lean management practices, a function of lean manufacturing that sought to increase productivity and efficiency by eliminating waste in the automobile industry, date back to the 1940s and Taiichi Ohno, a Japanese industrial engineer, who is considered to be the father of the Toyota Production System, later adopted in the U.S., and worldwide.

With respect to lean asset management, Ohno advocated for a clear understanding of what inventory is required for a certain project, real-time visibility of what capacity is available and what is already committed, and a streamlined replenishment process. He also believed that inefficient processes will always cause delays, if not excess inventory (over-provisioning) and idle resources (underutilization).

Sound familiar?

Through the practice of lean asset management methodology in the data center, IT staff gain the ability to manage the server assets in a fine-grained manner, such as tracking the model, brand, capacity, serial number and other information of the main components of the server.

Lean asset management also enables IT teams to react quickly and efficiently when implementing change strategy. As any IT administrator will attest, change deployments and implementations can pose significant risk. When a deployed change affects systems in an unanticipated way, it can lead to service outages that negatively impact an organizations bottom line and its brand reputation.

By discovering changes in server components, it also becomes convenient for the operations and maintenance team to track changes in components in a timely manner, and improve the efficiency of the component replacement process. Its also easier to collect information concerning the data center computing resources on demand.

A Trusted Source for IT Asset Discovery and Management

Data center management solutions such as Intel Data Center Manager (Intel DCM) have the capability to automatically obtain server asset information such as CPU, memory, disk model, capacity, etc., for the various bands/models through out-of-band methods.

External applications can obtain server asset information through APIs, which are provided by the data center management solution. External systems can automatically compare device component information, find and identify information, and changes in parts.

The following is a typical scenario. The remote operation and maintenance center of a CSP discovers a server component is faulty, and requests that the supplier replace the parts onsite at the data center.

The operator has no need to double-confirm the component by logging into the server after the parts have been replaced. Furthermore, the real-time asset information of the entire data center can be reported to the IT staff at any time and before they make any decision.

To support lean asset management methodology, Intel DCM offers many asset management features, such as organizing systems in physical or logical groups, easily searching for systems using their asset tags or other details, and importing and exporting a data centers inventory and hierarchy.

Along with Intel DCMs real-time power and thermal monitoring, and its middleware APIs that allow the software to easily integrate with other solutions, these features assist companies to avoid investing in additional asset management tools.

As organizations continue to leverage multiple computing models, further dispersing their workloads, and the data center itself becomes more complex, manual processes cant keep pace with the rate of change in the IT environment.

By adopting a lean asset management approach, supported by a data center management solution with IT asset discovery and management capabilities, data center managers benefit from a trusted source of information about asset ownership, interdependencies and utilization so that they can make informed decisions regarding the deployment, operations and maintenance of their servers and systems.

So after youve cleaned our your 5th closet at home, think about cleaning your data center clutter using innovative automation tools to see these lean asset management principles at work, theres no question that Taiichi Ohno would be proud.

Link:

The role of the data centre in the future of Data Management - Data Economy

A Global Research Report called Healthcare Cloud Computing Market was recently published by Market Research Inc. to provide guidance for the business.The new research study onHealthcare Cloud Computingmarket sheds light on the current scope as well as on the upcoming opportunities in the future. To understand the structure of global trading, the report also gives statistical data on local consumption and global consumption.The report also focuses on global major leading industry players of Global Healthcare Cloud Computing providing information such as company profiles, product picture and specification, price, capacity, cost, production, revenue and contact information. Additionally, it discusses effective plans and development strategies,With tables and figures helping analyze worldwideHealthcare Cloud Computing, this research provides key statistics on the state of the industry and is a valuable source of guidance and direction for companies and individuals interested in the market.

Top Key Players:

GoogleIBMCisco SystemsSalesforceMerge HealthcareMEDITECHEpic SystemsUnitedHealth GroupAllscripts Healthcare SolutionsAWSAppleCognizant Technology SolutionsNetsuiteGE HealthcareHP HealthcareMicrosoftEMCVerizonIron Mountain

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Conclusively, all aspects of the Healthcare Cloud Computing Market are quantitatively as well qualitatively assessed to study the Global as well as regional market comparatively. This market study presents critical information and factual data about the market providing an overall statistical study of this market on the basis of market drivers, limitations and its future prospects.

About Us:Market Research Inc is farsighted in its view and covers the massive ground in global research. Local or global, we keep a close check on both markets. Trends and concurrent assessments sometimes overlap and influence the other. When we say market intelligence, we mean a deep and well-informed insight into your products, market, marketing, competitors, and customers. Market research companies are leading the way in nurturing global thought leadership. We help your product/service become the best they can with our informed approach.

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New Innovation In Healthcare Cloud Computing Market With (COVID19) Impact Analysis, Top Companies Analysis, Market Size, Share, Growth, Trends,...

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Cisco Systems will be one of the first technology companies to report earnings that include results from April, the first month to take the full brunt of the Covd-19 triggered economic downturn.

Cisco (ticker: CSCO) reports numbers on Wednesday after the market closes. It scheduled an earnings conference call for 4:30 p.m. Eastern time.

In February, when the virus outbreak was viewed by the tech sector mostly as an Asian supply-chain and China-demand issue, Cisco projected revenue would be down 1.5% to 3.5% for its fiscal third quarter ending in April on a year-over-year basis. That implied a range of $12.5 billion to $12.8 billion, with profit of 79 cents to 81 cents a share.

But no one on the Street thinks the original guidance is achievable. For the quarter, the current Street consensus calls for the networking hardware and software company to report revenue of $11.88 billion and profit of 71 cents a share. For the current quarter ending in July, the Street is projecting $12.07 billion and 71 cents a share.

The core tension in the quarter will be the balance between a boost in demand for home networking and cloud-computing gear against softness in enterprise spending.

RBC Capital analyst Robert Muller writes in a research note that Ciscos quarter is likely to be a mixed bag. We view consensus expectations as reasonable, however a wide-range of outcomes [and] guidance are possible given the uncertainty surrounding Covid-19.

Muller says he expects near-term sales declines in the companys corporate-campus-network business as we expect the macro uncertainty will have companies exercise caution with spending plans. But he also contends that Cisco could benefit (relatively speaking) if the caution drives customers to the tried-and-tested offerings of Cisco, which can offer a full suite of networking solutions. Muller maintains his Outperform rating and $47 price target.

Evercore ISI analyst Amit Daryanani on Monday is maintaining his Outperform rating and $50 target, but trims his estimates based on cautious recent comments from rivals Juniper (JNPR) and Arista Networks (ANET) on both supply constraints and incremental softness in enterprise spending. Despite near term challenges, we think there are tailwinds driven by the shift to remote working such as increased spend on networking to expand capacity plus increased demand for security and collaboration solutions, he writes. We remain positive on Cisco stock as we think the company is well-positioned to navigate through the current downturn.

Barclays analyst Tim Long likewise maintains an Overweight rating and $48 target on Cisco, but notes that his estimates for the current quarter are far below consensus at $11.4 billion and 63 cents a share. Our recent estimate revisions have largely been in view of the increasingly severe disruption to enterprise activity related to Covid-19, Long writes. However, we see some drivers which may partially offset Covid-19 headwinds. These include recent management commentary around firms extending physical appliances to the work-from-home (WFH) environment, indications that firms including Barclays itself have been investing in upgrading their Cisco plant to facilitate expanded connectivity requirements, and pre-existing product refresh cyclesthat should be supportive for Cisco longer-term and provide some offset to near-term macro pressures as well.

On Monday, the stock rose 1.3% to $43.54, while the Dow Jones Industrial Average fell 0.5%. For the year the shares are down 9.7%.

Write to Eric J. Savitz at eric.savitz@barrons.com

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Cisco Reports Earnings Wednesday. Heres What to Expect. - Barron's

The Market Research Study by Orbis Research uses several tools and techniques which are used for the determination of the growth of the Global Cloud Computing Security Software Market. One of the methods for the determination of the growth of the market is the increased use of the statistical tools, which is used for the estimation of the growth of the market for the estimated forecast period. SWOT and PESTEL analysis is one of the methods for the determination of the growth of the global Cloud Computing Security Software market. Moreover, increased demand for the factors influencing the growth of the market is also one of the major aspects which is likely covered in depth in the report. It also focuses and highlights the strategies and the trends, in which the manufacturer and the company is likely to move. The Report by Orbis Research is also used in the analysis of the growth rates and the threats of new entrants, which are used for the determination of the growth of the market for the estimated forecast period. The research study is also known to provide in depth analysis of the reports which is one of the key aspects for the growth of the global Cloud Computing Security Software market. The study covers the production, sales, and revenue of various top players in the global Cloud Computing Security Software market, therefore enabling customers to achieve thorough information of the competition and henceforth plan accordingly to challenge them head on and grasp the maximum market share.

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Market segment by Type, the product can be split intoPublic CloudPrivate CloudMixed Cloud

Market segment by Application, split intoSmall and Medium Enterprises (SMEs)Large Enterprises

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Some TOC Points:1 Scope of the Report2 Executive Summary3 Global Cloud Computing Security Software by Company4 Cloud Computing Security Software by RegionsContinued

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Global Cloud Computing Security Software Market 2020 By Growth Projections, Demand, Power Construction and Forecast 2025 - Cole of Duty

ETFs providing exposure to cloud companies are expected to sustain their impressive growth trajectory as cloud technology continues to facilitate the switch to remote working and lubricate the wheels of the fourth industrial revolution.

Anthony Ginsberg, Managing Director at GinsGlobal Index Funds; Timothy Horan, Managing Director and Senior Analyst, Communication & Cloud Services, Oppenheimer & Co.

This is the consensus of Anthony Ginsberg, Managing Director at GinsGlobal Index Funds, and Timothy Horan, Managing Director and Senior Analyst for Communication & Cloud Services at Oppenheimer & Co.

Ginsberg and Horan recently shared their perspectives on cloud technology with an audience of investors in a webcast hosted by ETF Strategy in partnership with HANetf (see Cloud Technology: The ETF Investment Case Updated).

Ginsberg, co-creator of the HAN-GINS Cloud Technology UCITS ETF (SKYY), noted that cloud technology has become the major battleground for Big Tech companies, which are allocating roughly 60% of their IT expenditure to cloud development. Firms have also reportedly been reluctant to cut this budget even in the current downturn.

The significance that tech companies are placing on the cloud is not surprising considering the sector is increasingly permeating our daily lives. From smart cars to smart cities, households to hospitals, factories to farming, cloud technology is being utilized to reduce costs, enhance efficiencies, and fundamentally change the way we interact with the world.

Horan, one of Wall Streets top-rated technology analysts, also lauded the sector, noting that the coming together of complementary technologies means were on the brink of a positive perfect storm within the technology sector. Combined with faster speeds from 5G networks, better AI capabilities to harness cloud data, and blockchain technology providing security, Horan predicts the next 30 years will see a technological revolution that easily surpasses the last 30 years.

Further facilitating that growth, Horan highlighted that cloud services can be rapidly scaled up as needed, a feature that became apparent during the massive spike in demand during the pandemic-induced lockdown. Citing the recent example of BT, he said that Amazon was able to convert the companys entire 70,000 employees online over a single weekend.

Yet this business model flexibility is not the only quality feature of cloud technology companies.

Cloud companies have systems that have also proved to be reliable in terms of operational efficiency and safeguarding against the risk of cybercrime, leading to a client retention rate well above 90%, said Ginsberg. Combine this predictable revenue stream with a relatively low debt burden and you can see why investors find these companies attractive.

According to Horan, as the cloud technology scene has developed, it has also become more competitive.

Four years ago, Amazon controlled a 90% market share for cloud services. Now, thats down to 60%. This is primarily because Microsoft believed in and built out the hybrid cloud, which allowed it to increase its market share from 5% to 30%.

This more competitive ecosystem is going to be beneficial for cloud growth in the long-term and will support mid- and small-cap companies who are now finding their footing.

When asked whether cloud technology ETFs would appeal to value-oriented investors, Ginsberg did concede that P/E ratios are potentially stretched, with Amazons and Microsofts currently at all-time highs. However, he was quick to note that the cloud theme is a secular growth story that warrants higher valuation ratios and that P/E ratios were perhaps not the best way to analyze high-growth technology stocks.

The long-term outlook for cloud companies is phenomenal, said Ginsberg. And we are still at the early stages of the growth story. We are still going to see huge adoption in the future.

Ginsberg referenced the HAN-GINS Cloud Technology UCITS ETF (SKYY LN), the fund he developed in partnership with white-label platform HANetf, as an effective way to play the theme.

The fund tracks the Solactive Cloud Technology Index, consisting of developed or emerging market companies operating in the field of cloud-based software and services.

The index includes 50 stocks that are most closely related to the theme of cloud computing with selection based on Solactives proprietary natural language processing algorithm which identifies thematic exposures in companies using conventional and unconventional data sources. Stocks are weighted by free-float market cap with a single issuer cap of 4%.

Currently, the index is predominantly exposed to companies domiciled in the US with a total weight of around 90% with Europe and Asia making up the rest.

According to Ginsberg, this reflects the USs current dominance in the cloud technology space, while the indexs methodology leaves open the possibility of capturing the global rise of cloud technology when this trend emerges.

Europe underestimated the cloud technology revolution, said Ginsberg. It is thus lagging a few years behind. But we expect this to change and Europe to catch up with the US in the future.

Importantly, Ginsberg notes that the index has also been designed to capture a broader exposure to the cloud technology theme. Instead of being overly exposed to the mega-cap cloud providers, such as Amazon, Google, and Microsoft, it caps exposure of any constituent at 4% at rebalancing and also includes a notable allocation to mid- and small-cap firms which may prove to be significant players, or bid targets, in the long-term.

The index also diversifies across the entire cloud value chain, including firms providing software, infrastructure, and platform services.

The ETF is listed on London Stock Exchange, Borsa Italiana, and Xetra and comes with an expense ratio of 0.59%.

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Cloud technology ETFs on brink of positive perfect storm - ETF Strategy

Over the years, cloud computing has become an essential tool for modern businesses, with the majority of companies now using the software in 2020. With the increasing need to deliver remote working for a global workforce most businesses are experiencing the benefit it can bring. However, this doesnt come as a surprise when the platform is enhancing stability and security, whilst allowing staff to work more flexibly with reduced costs. Although, as with all technologies, there is opportunity to innovate further. Similar to the cloud, Artificial Intelligence (AI) has worked its way into our everyday lives. For example, when we speak into our Amazon Alexa or Siri, we are communicating with AI. When we unintentionally come across a relevant online ad, this has been delivered using AI. And in terms of the customer experience, AI and the cloud are both significantly contributing to this. So, with these commonalities, there is major potential to unlock in the ways AI and cloud can benefit each other to maximise the customer experience and deliver business efficiency.

To work successfully, AI must rely on data to mimic its human-like role. Especially when performing the role of customer services through chatbots and helplines, which is becoming a predominant way companies are leveraging AI. Although, this can be difficult to gather when it is spread out across many different applications and resources. Without stable infrastructure, this means communication may be delayed or inaccurate, leading to more time being spent by human staff to fix this. However, with a cloud platform introduced, data can be accessed quickly and efficiently so AI solutions and robots can deliver a more human-like and productive experience. Giving employees and employers alike more time to focus on other areas of the business, which requires more attention.

Additionally, AI methodology holds the capacity to manage and streamline larger amounts of data than traditional databases, making it easier for institutions to manage. Looking into the future, the incorporation of AI and cloud computing has the ability to suggest how to retain and expand the customer database. With this potential to suggest improvements for enterprise efficiency, it will further optimise the cloud performance. As it stands, cloud computing with the support of AI is contributing to the efficiency of managing teams and work flow. For example, using cloud technology along with AI, businesses will be able to book meetings more efficiently by having access to each end users calendar in the cloud. This will significantly reduce time as there will no longer be the hassle of exchanging emails to organise meetings, contributing to a higher level of workplace efficiency.

When it comes to the cloud and AI, there are many misconceptions around the uncertainty of job security and replacement. And due to its proven efficiency, we can certainly expect all industries to leverage the benefits it can bring. Although, due to the high level of its performance, which can usually outperform human staff, there is a lingering sense of fear that AI and cloud will eventually take over existing jobs in the near future. However, AI and cloud will, in fact, create and facilitate jobs, rather than replace existing ones. The performance of AI and cloud must be managed by human staff. For example, AI has the capability to increase speed, accuracy and data management, but it lacks the sense of human emotion and judgment, which is critical in any industry or sector that involves human interaction.

Additionally, as AI and cloud increase workplace productivity, this will help expand businesses, further leading to an increase in recruitment opportunities. We also need to consider the facilitation and maintenance of AI and cloud. Like any new technology or software, experts are needed to ensure companies are making the most out of their new system and can advise on any issues that may occur. And this will be no different for AI and cloud, as AI developers and engineers will be in high demand to install, maintain and further innovate systems.

Whatsmore, with the current climate around Covid-19, another area AI and cloud technology is being utilised is through fever screening; whereby thermal cameras are used to measure body temperature to detect infectious diseases. Whilst this technology has been used in the past in airports around the world, many businesses are also implementing this technology to enable screening of employees during shift changes to better protect staff. AI technology is used to analyse masses of data whilst the cloud enables multiple people to have access to the solution with ease.

Over the past decade we have become reliant on cloud computing, using it as the core solution to achieving digital transformation. However, now is the opportunity to further improve this through the innovation of AI. In its current state, AI is being used as a frequent buzzword in the technology sector, but many enterprises are still in the dark about the software. However, integrating AI and cloud computing together will ease the implementation of the process, allowing enterprises to see the benefits of each solution at its highest performance. Additionally, AI is having a major role in streamlining business productivity by helping manage and update internal and external data. It is also uncovering a new potential in customer services, through chatbots and instant messaging. With this in place, customers will experience a faster experience, whilst flagging any issues or problems to business immediately, which will further benefit customers and employees for years to come.

Dominik Birgelen, CEO and co-founder, oneclick AG

Original post:

How AI is redefining cloud technology and delivering business efficiency - ITProPortal