Category Archives: Cloud Computing
Cloud Computing in Automotive Market investigated in the latest research – WhaTech Technology and Markets News
The report on cloud computing in automotive, gives an in-depth analysis of cloud computing in automotive market based on aspects that are very important for the market study. Factors like production, market share, revenue rate, regions and key players define a market study start to end. This report gives an overview of market valued in the year 2020 and its growth in the coming years till 2025. It also predicts the CAGR.
Report: http://www.adroitmarketresearch.com/contactsample/981
A report added by Adroit Market Research on the global market for cloud computing in automotive is an elucidation of the dynamics that have stabilized market growth. The report is a deft portrayal of the various drivers of market demand in recent times.
Furthermore, the geographical growth of the global cloud computing in automotive market has also been assessed in the report. A list of the leading competitors operating in the global cloud computing in automotive market has been included therein.
Furthermore, research report covers all the quantitative as well as qualitative aspects about the cloud computing in automotive markets across the globe. The report is also inclusive of different market segmentation, business models and market forecasts.
This market analysis enables the manufacturers with impending market trends. A thorough scrutiny of prominent market players or industrialists are vital aspect for planning a business in the market.
study about the rivals enables in attaining valuable data about the strategies, companys models for business, revenue growth as well as statistics for the individuals attracted towards the market. This report is very useful for the new entrants as it offers them with the idea about the different approaches towards the market.
Browse more detail information at: http://www.adroitmarketresearch.com/industrive-market
The global market for cloud computing in automotive can be segmented on the basis of the following parameters: type, source, applications and region. It is vital to understand the aforementioned segments in light of the healthcare industry.
Furthermore, to gauge market growth, the market segments of the global cloud computing in automotive market need to be duly analyzed.
Finally, cloud computing in automotive market report gives more focus on driving and restraining factors to understand the ups-down stages of the businesses. Moreover, it gives a detailed analysis of changing competitive landscape across the global regions.
The cloud computing in automotive market report includes a detailed study of the market, its future predictions by considering 2019 as the base year the period between 2020 and 2025 as the forecast period. This report on cloud computing in automotive focusses on different categories that define this market with a systematic approach that addresses the consumer base, researchers and market experts like the stakeholders.
It also gives a clear perspective towards the competition and demand and supply chain.
Report:
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Cloud Computing in Healthcare Market 2020 Booming by Size, Revenue, Trend and Top Companies 2026 – Instant Tech News
New Jersey, United States, The report titled, Cloud Computing in Healthcare Market Size and Forecast 2026 in Verified Market Research offers its latest report on the global Cloud Computing in Healthcare market that includes comprehensive analysis on a range of subjects like competition, segmentation, regional expansion, and market dynamics. The report sheds light on future trends, key opportunities, top regions, leading segments, the competitive landscape, and several other aspects of the Cloud Computing in Healthcare market. Get access to crucial market information. Market players can use the report back to peep into the longer term of the worldwide Cloud Computing in Healthcare market and convey important changes to their operating style and marketing tactics to realize sustained growth.
Cloud Computing in Healthcare Market was valued at USD 19.06 Billion in 2018 and is projected to reach USD 67.16 Billion by 2026, growing at a CAGR of 17% from 2019 to 2026.
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Top 10 Companies in the Global Cloud Computing in Healthcare Market Research Report:
Global Cloud Computing in Healthcare Market: Competitive Landscape
Competitive landscape of a market explains strategies incorporated by key players of the market. Key developments and shift in management in the recent years by players has been explained through company profiling. This helps readers to understand the trends that will accelerate the growth of market. It also includes investment strategies, marketing strategies, and product development plans adopted by major players of the market. The market forecast will help readers make better investments.
Global Cloud Computing in Healthcare Market: Drivers and Restrains
This section of the report discusses various drivers and restrains that have shaped the global market. The detailed study of numerous drivers of the market enable readers to get a clear perspective of the market, which includes market environment, government policies, product innovations, breakthroughs, and market risks.
The research report also points out the myriad opportunities, challenges, and market barriers present in the Global Cloud Computing in Healthcare Market. The comprehensive nature of the information will help the reader determine and plan strategies to benefit from. Restrains, challenges, and market barriers also help the reader to understand how the company can prevent itself from facing downfall.
Global Cloud Computing in Healthcare Market: Segment Analysis
This section of the report includes segmentation such as application, product type, and end user. These segmentations aid in determining parts of market that will progress more than others. The segmentation analysis provides information about the key elements that are thriving the specific segments better than others. It helps readers to understand strategies to make sound investments. The Global Cloud Computing in Healthcare Market is segmented on the basis of product type, applications, and its end users.
Global Cloud Computing in Healthcare Market: Regional Analysis
This part of the report includes detailed information of the market in different regions. Each region offers different scope to the market as each region has different government policy and other factors. The regions included in the report are North America, South America, Europe, Asia Pacific, and the Middle East. Information about different region helps the reader to understand global market better.
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Table of Content
1 Introduction of Cloud Computing in Healthcare Market
1.1 Overview of the Market 1.2 Scope of Report 1.3 Assumptions
2 Executive Summary
3 Research Methodology of Verified Market Research
3.1 Data Mining 3.2 Validation 3.3 Primary Interviews 3.4 List of Data Sources
4 Cloud Computing in Healthcare Market Outlook
4.1 Overview 4.2 Market Dynamics 4.2.1 Drivers 4.2.2 Restraints 4.2.3 Opportunities 4.3 Porters Five Force Model 4.4 Value Chain Analysis
5 Cloud Computing in Healthcare Market, By Deployment Model
5.1 Overview
6 Cloud Computing in Healthcare Market, By Solution
6.1 Overview
7 Cloud Computing in Healthcare Market, By Vertical
7.1 Overview
8 Cloud Computing in Healthcare Market, By Geography
8.1 Overview 8.2 North America 8.2.1 U.S. 8.2.2 Canada 8.2.3 Mexico 8.3 Europe 8.3.1 Germany 8.3.2 U.K. 8.3.3 France 8.3.4 Rest of Europe 8.4 Asia Pacific 8.4.1 China 8.4.2 Japan 8.4.3 India 8.4.4 Rest of Asia Pacific 8.5 Rest of the World 8.5.1 Latin America 8.5.2 Middle East
9 Cloud Computing in Healthcare Market Competitive Landscape
9.1 Overview 9.2 Company Market Ranking 9.3 Key Development Strategies
10 Company Profiles
10.1.1 Overview 10.1.2 Financial Performance 10.1.3 Product Outlook 10.1.4 Key Developments
11 Appendix
11.1 Related Research
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Highlights of Report
About Us:
Verified market research partners with clients to provide insight into strategic and growth analytics; data that help achieve business goals and targets. Our core values include trust, integrity, and authenticity for our clients.
Analysts with high expertise in data gathering and governance utilize industry techniques to collate and examine data at all stages. Our analysts are trained to combine modern data collection techniques, superior research methodology, subject expertise and years of collective experience to produce informative and accurate research reports.
Contact Us:
Mr. Edwyne Fernandes Call: +1 (650) 781 4080 Email: [emailprotected]
TAGS: Cloud Computing in Healthcare Market Size, Cloud Computing in Healthcare Market Growth, Cloud Computing in Healthcare Market Forecast, Cloud Computing in Healthcare Market Analysis, Cloud Computing in Healthcare Market Trends, Cloud Computing in Healthcare Market
Cloud Computing Data Center It Asset Disposition Market Analysis With Key Players, Applications, Trends and Forecast To 2026 – Instant Tech News
Cloud Computing Data Center It Asset Disposition Market Overview:
Verified Market Research adds new research report Cloud Computing Data Center It Asset Disposition Market Development Overview 2020, The report includes an in-depth analysis of the toggle switch market, taking into account market dynamics, segmentation, geographic expansion, competitive landscape and some other key issues. The market analysts who prepared the report have thoroughly examined the toggle switch market and provided reliable and accurate data. They understand the needs of the industry and customers, which makes it easier for them to focus on the problems that end users have been looking for. The research report provides an analysis of an assessment of existing and future trends in which players can invest. It also includes an assessment of the players financial perspectives and the nature of the competition.
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Top 10 Companies in the Cloud Computing Data Center It Asset Disposition Market Research Report:
Competitive Landscape
The competitive landscape is a must-have information for the marketplayersto withstand the competition present in theglobal Cloud Computing Data Center It Asset Disposition market. This further helps the market participants to develop effective strategies to optimize their market positions. Moreover, the competitive analysis helps them to determine potential advantages as well as barriers within the global Cloud Computing Data Center It Asset Disposition market. This way, they can monitor how their competitors are implementing various strategies including pricing, marketing, and distribution.
The report analyses thecurrent trends, growth opportunities, competitive pricing, restraining factors, and boosters that may have an impact on the overall dynamics of the global Cloud Computing Data Center It Asset Disposition market. The report analytically studies the microeconomic and macroeconomic factors affecting the global Cloud Computing Data Center It Asset Disposition market growth. New and emerging technologies that may influence the global Cloud Computing Data Center It Asset Disposition market growth are also being studied in the report.
Global Cloud Computing Data Center It Asset Disposition Market: Regional Segmentation
For a deeper understanding, the research report includes geographical segmentation of the global Cloud Computing Data Center It Asset Disposition market. It provides an evaluation of the volatility of the political scenarios and amends likely to be made to the regulatory structures. This assessment gives an accurate analysis of the regional-wise growth of the global Cloud Computing Data Center It Asset Disposition market.
Regions Covered by the global market for Cloud Computing Data Center It Asset Disposition :
Middle East and Africa (GCC countries and Egypt)North America (USA, Mexico and Canada)South America (Brazil, etc.)Europe (Turkey, Germany, Russia, Great Britain, Italy, France etc.)Asia Pacific (Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia and Australia)
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The study objectives are:
Important Questions Answered in this Report:-
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About Us:
Verified market research partners with clients to provide insight into strategic and growth analytics; data that help achieve business goals and targets. Our core values include trust, integrity, and authenticity for our clients.
Analysts with high expertise in data gathering and governance utilize industry techniques to collate and examine data at all stages. Our analysts are trained to combine modern data collection techniques, superior research methodology, subject expertise and years of collective experience to produce informative and accurate research reports.
Contact Us:
Mr. Edwyne FernandesCall: +1 (650) 781 4080Email: [emailprotected]
TAGS: Cloud Computing Data Center It Asset Disposition Market Size, Cloud Computing Data Center It Asset Disposition Market Growth, Cloud Computing Data Center It Asset Disposition Market Forecast, Cloud Computing Data Center It Asset Disposition Market Analysis, Cloud Computing Data Center It Asset Disposition Market Trends, Cloud Computing Data Center It Asset Disposition Market
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Cloud Computing Data Center It Asset Disposition Market Analysis With Key Players, Applications, Trends and Forecast To 2026 - Instant Tech News
Second GPU Cloudburst Experiment Paves the Way for Large-scale Cloud Computing – insideHPC
Using only the most cost-effective instances in sport/preemptible mode, SDSC and WIPAC researchers were able to provision and sustain 15,000 GPUs from cloud regions all over the world, for an equivalent of 170 PFLOP32s, significantly more than the largest National Science Foundation-funded supercomputers. Image credit: Igor Sfiligoi, San Diego Supercomputer Center, UC San Diego.
That experiment also proved that it is possible to conduct a massive amount of data processing within a very short period an advantage for research projects that must meet a tight deadline. It also showed that such bursting of massive amounts of data in this case data generated by theIceCube Neutrino Observatory, an array of 5,160 optical sensors deep within a cubic kilometer of ice at the South Pole is suitable for solving a wide range of challenges across not only astronomy but many other science domains.
Completed just prior to the opening of SC19 in last November, the first experiment was coordinated by Frank Wrthwein, SDSC lead for high-throughput computing; Igor Sfiligoi, SDSCs lead scientific software developer for high-throughput computing; Benedikt Riedel, global computing coordinator for the IceCube Neutrino Observatory and computing manager at WIPAC; and David Schultz, a production software manager with IceCube.
Fast forward to early February 4, 2020, when the same research team conducted a second experiment with a fraction of the remaining funding left over from a modestNational Science Foundation EAGER grant. As before, the researchers used cloud resources fromAmazon Web Services(AWS),Microsoft Azure, andGoogle Cloud Platform(GCP), but limited themselves to only the most effective cloud instance types in either spot or preemptible mode. Moreover, instead of using a dedicated cloud only setup, this time they added cloud resources to the existing on-prem resources available through theOpen Science Grid(OSG), theExtreme Science and Engineering Discovery Environment (XSEDE), and thePacific Research Platform(PRP).HTCondorwas again used as the workload management system.
We drew several key conclusions from this second demonstration, said SDSCs Sfiligoi. We showed that the cloudburst run can actually be sustained during an entire workday instead of just one or two hours, and have moreover measured the cost of using only the two most cost-effective cloud instances for each cloud provider.
The team managed to reach and sustain a plateau of about 15,000 GPUs, or 170 PFLOP32s (i.e. fp32 PFLOPS) using the peak fp32 FLOPS provided by NVIDIA specs. The cloud instances were provisioned from all major geographical areas, and the total integrated compute time was just over one fp32 exaFLOP hour. The total cost of the cloud run was roughly $60,000.
In the second experiment, which was about eight hours long versus less than two hours in the first experiment, the IceCube Neutrino Observatory processed some 151,000 jobs, up from about 101,000 in the first burst.
This means that the second IceCube cloud run produced 50% more science, even though the peak was significantly lower, explained Sfiligoi, who also noted that the latter experiment added OSG, XSEDE, and PRPs Kubernetes resources, effectively making it a hybrid-cloud setup unlike the first time, when it was purely cloud-based.
The experiment also showed that the most cost-effective cloud instances are those providing the NVIDIA Tesla T4 GPUs. They are about three times more cost-effective for the IceCube project compared to the next best option, the instances providing the NVIDIA Tesla V100 GPUs.
Moreover, unlike the earlier experiment, the team fetched data directly from IceCubes home location at the University of WisconsinMadison using straight HyperText Transfer Protocol (HTTP), the standard application-level protocol used for exchanging files on the World Wide Web.
This second cloud burst was performed on a random day, during regular business hours, adding cloud resources to the standard IceCube on-prem production infrastructure, said SDSCs Wrthwein. Its the kind of cloud burst that we could do routinely, a few times a week if there were principal investigators willing to pay the bill to do so.
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Second GPU Cloudburst Experiment Paves the Way for Large-scale Cloud Computing - insideHPC
Pay for these four tech jobs is rocketing. Cloud computing is the cause – ZDNet
Project managers, business analysts, and security and testing experts are seeing a big bump in salaries as the rise of cloud computing changes the skills that companies are seeking.
According to analysis by recruitment firmHarvey Nash, the fastest-growing salaries included business analysts (average 66,596), up by 28% in the last 12 months, security specialists (average 94,673, up 22%), project managers (average 64,910, up 16%) and testing engineers (average 51,114, up 11%).
Unsurprisingly, CIO, CTO and VP of IT roles still attract the highest salaries, with pay ranging between 85,000 and 150,000 per year, and averaging 119,443.
The competitive edge for organisations in a cloud world is coming more from how systems are deployed, and less from what the underlying technology is, said Rob Grimsey, a director at Harvey Nash.
SEE: How to build a successful developer career (free PDF)
"The growth in demand, and salaries, for business analysts and project managers reflects a need by organisations to get this 'how' piece right," he said.
Grimsey said the demand for security specialists has been increasing pretty much in line with the increase in threat that has occurred in the past decade, but noted that the rise in salaries for testing is perhaps the most surprising development.
"This area has been the most susceptible to automation, and certainly in the past salaries have remained fairly flat. That said, in recent years as systems have got more complex, and testing has had to extend to a remit much wider than before, such as privacy, security and even customer experience, we are seeing a bit of re-emergence of testing as a key skill."
Developers are paid an average of 47,000 according to the report, which surveyed 1,200 UK workers. But while the lowest paid developers made around 23,00, the best paid could be taking home more like 65,000 Harvey Nash said. Programme managers earned an average of 89,000, with the top earners making 110,000 -- ahead of some CIOs.
The report identified three areas where tech companies can improve staff retention:
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Pay for these four tech jobs is rocketing. Cloud computing is the cause - ZDNet
Alibaba Beats Q3 Profit Forecast on Record Singles Day; CEO Warns of ‘Black Swan’ Risk From Coronavirus – TheStreet
Alibaba Group Holding Co.(BABA) - Get Reportposted stronger-than-expected third quarter earnings Thursdayafter a record Singles Day shopping event and rising cloud computing revenues helped boost profits for Asia's biggest tech company.
Shares in the group dipped lower, however, after CEO Daniel Zhang called the ongoing coronavirus outbreak a "black swan" event that will have a "significant impact" on China's economy and present near-term challenges to the group's business development.
Alibaba said diluted non-GAAP earnings for the three months ending in December, the company's fiscal third quarter, were pegged at $2.61 per share, topping Wall Street's estimate of around $2.27 per share. Group revenues, Alibaba said, rose 38% from last year to $23.192 billion, again topping analysts' estimates of a $22.87 billion tally. Cloud computing revenues, Alibaba said, rose 62% to a record $1.5 billion.
Our digital economy reached new heights with another record 11.11 Global Shopping Festival for our merchants and partners," Zhang said. "Continued investment in user engagement, especially through social commerce content, contributed to our strong gains in annual active consumers."
"As a result of its rapid growth, our cloud computing services for the first time generated revenue of over RMB10 billion in a single quarter. In response to the coronavirus, we mobilized Alibaba ecosystems powerful forces of commerce and technology to fully support the fight against the outbreak, ensure supply of daily necessities for our communities and introduced practical relief measures for our merchants," he added. "No matter past, present or future, we remain true to our mission and we will support our merchants to overcome this challenging time together."
Alibaba's U.S.-listed shares were marked 2.2% in early trading following the earnings release to change hands at $219.38 each.
Alibaba, Asia's most valuable tech group, said its '#Double 11' shopping event, better known as Singles' Day, saw 10 billion yuan ($1.43 billion) in sales over the first 90 seconds of the event, which kicked-off at midnight with a televised event featuring pop stars such as Taylor Swift and G.E.M. Singles' Day sales topped $38.379 billion in gross merchandise value as the extravaganza closed, a figure that bests last year's 24-hour total of $30.8 billion.
Now hiring: robots to your workplace – Gigabit Magazine – Technology News, Magazine and Website
In an era where the only constant in technology is change, innovation through AI and intelligent process automation in businesses is commonplace. This transformation often leads to businesses investing in digital solutions in order to stay relevant in an increasingly competitive and saturated market.
The number of digital workers entering the workforce will increase by 50% by 2021, according to new IDC research. With the explosion of the robotic process automation (RPA) market, there are now millions of digital workers employed at businesses around the world. So dont be surprised to see a new robotic colleague at your next company meeting as organisations give at least one robot to every employee to augment their day-to-day activities.
But despite the promise that trillions of dollars are expected to be saved by deploying digital workers, most RPA projects fail to fully deliver. The root cause of many of these failures is that digital workers dont know how to handle unstructured content or undocumented processes just like badly onboarded employees dont. In order to realise the return on investment in RPA and content intelligence, we need to ensure our robot colleagues are employed and on-boarded appropriately.
A digital worker checklist
Step one of the hiring process is figuring out whether you really should invest in that digital worker. Given all the hype, this may seem counter-intuitive, but not every process is qualified for RPA and hastily implementing automation for the sake of it benefits no-one. Worse still, picking the wrong process will only lead to frustration as you try to make your digital worker perform a task it is technically unable to do.
In order to determine whether the process needs a robotic touch, its important to ensure your digital colleagues follow rules-based decisions rather than judgement-based. If your process is prone to human error and is repetitive - and especially if there is input data, and it is digitised through optical character recognition (OCR) and document capture - then the opportunity is ripe.
Onboarding your new colleague
So, youve decided a robotic helping hand is what your business needs. But before you get too excited, lets set a few ground rules. Avoid duplicate work and overlaps in the job function for your digital worker. Unlike humans, digital workers will tirelessly do what you ask of them, even when there are unintended results. Therefore, it is critical that digital workers managers use process intelligence to ensure they are properly designed to avoid conflicts and can deliver their benefits without the costly side effects of a poorly employed worker.
Secondly, ensure the process is fully documented for a digital worker, as this information is the basis of properly training the robot. Having this insight into processes means you can evaluate your current processes in their baseline state, so that process automation teams can clearly set ROI expectations and ensure agile service delivery so that automation efforts do not produce any unintended consequences.
SEE ALSO:
Getting the bots up to speed
As with our human workforce, if we want our digital workers to handle increasing complexity and process sophistication, they will need more training. However, there is no skills gap with digital workers. This training is realised through the addition of cognitive skills such as AI and machine learning-enabled content intelligence, to raise the digital IQ of digital workers.
Previously, first generation RPA bots focused on automating high-volume, relatively simple processes involving structured data with no human intervention. As enterprise demands have evolved and AI capabilities increased, digital workers are increasingly being used in processes with unstructured data, in more complex environments where humans are part of the process and where some cognitive reasoning may be needed.
Performance appraisals
As with the human counterparts, regular check-ins, performance evaluations and review meetings are integral for the long-lasting career of your digital worker. A common reason why RPA projects fail is because bots arent monitored effectively and get stuck performing broken or poorly executed processes. Automating a bad process just makes bad things happen faster.
Using process intelligence to monitor digital workers ensures your automation investment is operating as expected post-deployment, especially in mixed mode scenarios where bots incorporate human assistance. Beyond digital worker monitoring, process intelligence can easily identify situations that require real time notifications to alert the right people at the right time.
By having proof of digital workers performance and cost impact, youll be able to reward your robot and expand them at enterprise scale. The future of work will be made up of a growing digital workforce that will take on more reasoning and decision-making, allowing them to go much further than simple automation. IDC estimates that today, machines conduct 29% of evaluating information, reasoning and decision making, and that this will only increase from this point on.
Digital transformation of the workplace is in full swing, with more organisations recognising the benefits of digital workers in augmenting human employees. Human-machine collaboration is not just the future of work, but the norm for high performing enterprises. So, what are you waiting for?
By Neil Murphy, Global VP, ABBYY
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Now hiring: robots to your workplace - Gigabit Magazine - Technology News, Magazine and Website
Cloud computing IaaS in Life Science Market 2020 Trends, Market Share, Industry Size, Opportunities, Analysis and Forecast by 2026 – Instant Tech News
Cloud computing IaaS in Life Science Market Overview:
Global Cloud computing IaaS in Life Science market was valued at USD 946.1 million in 2017 and is projected to reach USD 5,245.31 million by 2025, growing at a CAGR of 32.7% from 2018 to 2025.
In the report, we thoroughly examine and analyze the Global market for Cloud computing IaaS in Life Science so that market participants can improve their business strategy and ensure long-term success. The reports authors used easy-to-understand language and complex statistical images, but provided detailed information and data on the global Cloud computing IaaS in Life Science market. This report provides players with useful information and suggests result-based ideas to give them a competitive advantage in the global Cloud computing IaaS in Life Science market. Show how other players compete in the global Cloud computing IaaS in Life Science market and explain the strategies you use to differentiate yourself from other participants.
The researchers provided quantitative and qualitative analyzes with evaluations of the absolute dollar opportunity in the report. The report also includes an analysis of Porters Five Forces and PESTLE for more detailed comparisons and other important studies. Each section of the report offers players something to improve their gross margins, sales and marketing strategies, and profit margins. As a tool for insightful market analysis, this report enables players to identify the changes they need to do business and improve their operations. You can also identify key electrical bags and compete with other players in the global Cloud computing IaaS in Life Science market.
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Top 10 Companies in the Cloud computing IaaS in Life Science Market Research Report:
Cleardata Networks, Dell Global Net Access (GNAX), Carecloud Corporation, Vmware, Carestream Health, IBM Corporation, Iron Mountain, Athenahealth, Oracle Corporation
Cloud computing IaaS in Life Science Market Competition:
Each company evaluated in the report is examined for various factors such as the product and application portfolio, market share, growth potential, future plans and recent developments. Readers gain a comprehensive understanding and knowledge of the competitive environment. Most importantly, this report describes the strategies that key players in the global Cloud computing IaaS in Life Science market use to maintain their advantage. It shows how market competition will change in the coming years and how players are preparing to anticipate the competition.
Cloud computing IaaS in Life Science Market Segmentation:
The analysts who wrote the report ranked the global Cloud computing IaaS in Life Science market by product, application, and region. All sectors were examined in detail, focusing on CAGR, market size, growth potential, market share and other important factors. The segment studies included in the report will help players focus on the lucrative areas of the global Cloud computing IaaS in Life Science market. Regional analysis will help players strengthen their base in the major regional markets. This shows the opportunities for unexplored growth in local markets and how capital can be used in the forecast period.
Regions Covered by the global market for Smart Camera:
Middle East and Africa (GCC countries and Egypt)North America (USA, Mexico and Canada)South America (Brazil, etc.)Europe (Turkey, Germany, Russia, Great Britain, Italy, France etc.)Asia Pacific (Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia and Australia)
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Table of Content
1 Introduction of Cloud computing IaaS in Life Science Market
1.1 Overview of the Market1.2 Scope of Report1.3 Assumptions
2 Executive Summary
3 Research Methodology of Verified Market Research
3.1 Data Mining3.2 Validation3.3 Primary Interviews3.4 List of Data Sources
4 Cloud computing IaaS in Life Science Market Outlook
4.1 Overview4.2 Market Dynamics4.2.1 Drivers4.2.2 Restraints4.2.3 Opportunities4.3 Porters Five Force Model4.4 Value Chain Analysis
5 Cloud computing IaaS in Life Science Market, By Deployment Model
5.1 Overview
6 Cloud computing IaaS in Life Science Market, By Solution
6.1 Overview
7 Cloud computing IaaS in Life Science Market, By Vertical
7.1 Overview
8 Cloud computing IaaS in Life Science Market, By Geography
8.1 Overview8.2 North America8.2.1 U.S.8.2.2 Canada8.2.3 Mexico8.3 Europe8.3.1 Germany8.3.2 U.K.8.3.3 France8.3.4 Rest of Europe8.4 Asia Pacific8.4.1 China8.4.2 Japan8.4.3 India8.4.4 Rest of Asia Pacific8.5 Rest of the World8.5.1 Latin America8.5.2 Middle East
9 Cloud computing IaaS in Life Science Market Competitive Landscape
9.1 Overview9.2 Company Market Ranking9.3 Key Development Strategies
10 Company Profiles
10.1.1 Overview10.1.2 Financial Performance10.1.3 Product Outlook10.1.4 Key Developments
11 Appendix
11.1 Related Research
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About Us:
Verified market research partners with clients to provide insight into strategic and growth analytics; data that help achieve business goals and targets. Our core values include trust, integrity, and authenticity for our clients.
Analysts with high expertise in data gathering and governance utilize industry techniques to collate and examine data at all stages. Our analysts are trained to combine modern data collection techniques, superior research methodology, subject expertise and years of collective experience to produce informative and accurate research reports.
Contact Us:
Mr. Edwyne FernandesCall: +1 (650) 781 4080Email: [emailprotected]
TAGS: Cloud computing IaaS in Life Science Market Size, Cloud computing IaaS in Life Science Market Growth, Cloud computing IaaS in Life Science Market Forecast, Cloud computing IaaS in Life Science Market Analysis, Cloud computing IaaS in Life Science Market Trends, Cloud computing IaaS in Life Science Market
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Cloud computing IaaS in Life Science Market 2020 Trends, Market Share, Industry Size, Opportunities, Analysis and Forecast by 2026 - Instant Tech News
Alibaba Cloud revenue reaches $1.5B for the quarter on 62% growth rate – TechCrunch
Alibaba issued its latest earnings report yesterday, and the Chinese eCommerce giant reported that cloud revenue grew 62 percent to $1.5 billion U.S., crossing the RMB10 billion revenue threshold for the first time.
Alibaba also announced that it had completed its migration to its own public cloud in the most recent quarter, a significant milestone because the company can point to its own operations as a reference to potential customers, a point that Daniel Zhang, Alibaba executive chairman and CEO, made in the companys post-earnings call with analysts.
We believe the migration of Alibabas core e-commerce system to the public cloud is a watershed event. Not only will we ourselves enjoy greater operating efficiency, but we believe, it will also encourage others to adopt our public cloud infrastructure, Zhang said in the call.
Its worth noting that the company also warned that the Coronavirus gripping China could have impact on the companys retail business this year, but it didnt mention the cloud portion specifically.
Yesterdays revenue report puts Alibaba on a $6 billion U.S. run rate, good for fourth place in the cloud infrastructure market share race, but well behind the market leaders. In the most recent earnings reports, Google reported $2.5 billion in revenue, Microsoft reported $12.5 billion in combined software and infrastructure revenue and market leader AWS reported a tad under $10 billion for the quarter.
As with Google, Alibaba sits well in the back of the pack, as Synergy Researchs latest market share data shows. The chart was generated before yesterdays report, but it remains an accurate illustration of the relative positions of the various companies.
Alibaba has a lot in common with Amazon. Both are eCommerce giants. Both have cloud computing arms. Alibaba, however, came much later to the cloud computing side of the house, launching in 2009, but really only beginning to take it seriously in 2015.
At the time, cloud division president Simon Hu boasted to Reuters that his company would overtake Amazon in the cloud market within 4 years. Our goal is to overtake Amazon in four years, whether thats in customers, technology, or worldwide scale, he said at the time.
They arent close to achieving that goal, of course, but they are growing steadily in a hot cloud infrastructure market. Alibaba is the leading cloud vendor in China, although AWS leads in Asia overall, according to the most recent Synergy Research data on the region.
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Alibaba Cloud revenue reaches $1.5B for the quarter on 62% growth rate - TechCrunch
Army accelerates push to the cloud – Defense Systems
Cloud
The Army wants 2020 to be the year of the cloud and hopes to carry that momentum into 2021 with its cloud implementation plan.
"FY20 is very important for us because that's where we're going to set conditions leveraging existing capabilities," Army CIO Lt. Gen. Bruce Crawford said at the service's first-ever Data and Cloud Colloquium Feb. 10.
That plan includes tapping the Army's enterprise-as-a-service pilots with the Air Force, the Joint Enterprise Defense Infrastructure (JEDI) cloud and other existing cloud contracts.
The Army is looking to adapt and build an environment to facilitate data transparency and accessibility by the fourth quarter and begin to operationalize that environment in the first quarter of fiscal 2021, according to presentation documents from the event. That process will unfold over the next year so the Army can verify that data and ensure it's readable before it begins scaling it to the entire service by fiscal 2022.
Additionally, the Army wants to establish an enterprise data management framework environment by December 2021 and have a clean and usable data and information environment ready to use by December 2022. It plans to use its data to leverage emerging technologies and support ongoing operations by December 2023, according to Army presentation documents.
The Army recently stood up its Enterprise Cloud Management Office and named its director, Paul Puckett III.
"We need an enterprise place where we can start to ingest, discover, analyze and consume data beyond the systems-of-systems approach," Puckett said during his presentation Feb. 10.
He emphasized the need to manage the data and develop tools before artificial intelligence and machine learning can be used on a large scale.
And while JEDI is a start, the Army hopes to use additional cloud providers to supply simple and centralized account management, Puckett said. This capability would transition to financial data and IT categorization and asset management to determine how much is spent on cloud computing and migration.
Media was only permitted in the first part of the data and cloud industry day, but Puckett was scheduled to detail the Army's cloud implementation plan.
The Army's initially released budget documents didn't specifically call out cloud investments. But on the research front, the Army wants to spend up to $46 million out of a total $12.6 billion research budget on software and digital technology research and development, which wasn't present in the last two years of requests, according to budget documents released to reporters. The Army's top-line budget request totals $178 billion for 2021.
This article first appeared on FCW, a partner site to Defense Systems.
About the Author
Lauren C. Williams is a staff writer at FCW covering defense and cybersecurity.
Prior to joining FCW, Williams was the tech reporter for ThinkProgress, where she covered everything from internet culture to national security issues. In past positions, Williams covered health care, politics and crime for various publications, including The Seattle Times.
Williams graduated with a master's in journalism from the University of Maryland, College Park and a bachelor's in dietetics from the University of Delaware. She can be contacted at lwilliams@fcw.com, or follow her on Twitter @lalaurenista.
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