Category Archives: Cloud Computing
Global Healthcare Cloud Computing Market 2020 Competitive Insights, Trends and Demand Growth to 2027 – Germany English News
Global Healthcare Cloud Computing Market By Component (Hardware , Service)By Application (Clinical Information Systems, Non-clinical Information Systems), By Service Model (Software-As-A-Service, Infrastructure-As-A-Service, Platform-As-A-Service), By Deployment (Private Cloud, Public Cloud, Hybrid cloud), By Pricing Model (Pay-As-You-Go, Spot Pricing Model), End User, By Geography (North America, South America, Europe, Asia-Pacific, Middle East and Africa) Industry Trends and Forecast to 2025
Healthcare Cloud Computing Marketstudy with 100+ market data Tables, Pie Chat, Graphs & Figures is now released by Data Bridge Market Research. The report presents a complete assessment of the Market covering future trends, current growth factors, attentive opinions, facts, and industry-validated market data forecast until 2026. Delivering the key insights pertaining to this industry, the report provides an in-depth analysis of the latest trends, present and future business scenario, market size and share ofMajor Players such as athenahealth, Inc., CareCloud Corporation, Carestream Health, ClearDATA, Dell, NetDepot.com LLC, IBM Corporation, Iron Mountain Incorporated , IBM Watson Health, Cisco Systems Inc., HP Development Company, L.P.
Market Analysis:Global Healthcare Cloud Computing Market
Global healthcare cloud computing market is expected to reach USD 26.24 billion by 2025, from USD 5.64 billion in 2017 growing at a CAGR of 21.2% during the forecast period of 2018 to 2025. The upcoming market report contains data for historic years 2016, the base year of calculation is 2017 and the forecast period is 2018 to 2025.
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Major Market Drivers and Restraints:
Global Healthcare Cloud Computing Market By Component (Hardware , Service)By Application (Clinical Information Systems, Non-clinical Information Systems), By Service Model (Software-As-A-Service, Infrastructure-As-A-Service, Platform-As-A-Service), By Deployment (Private Cloud, Public Cloud, Hybrid cloud), By Pricing Model (Pay-As-You-Go, Spot Pricing Model), End User, By Geography (North America, South America, Europe, Asia-Pacific, Middle East and Africa) Industry Trends and Forecast to 2025
Competitive Analysis:Global Healthcare Cloud Computing Market
The global healthcare cloud computing market is highly fragmented and the major players have used various strategies such as new product launches, expansions, agreements, joint ventures, partnerships, acquisitions, and others to increase their footprints in this market. The report includes market shares of healthcare cloud computing market for global, Europe, North America, Asia Pacific and South America.
Major Market Competitors/Players:Global Healthcare Cloud Computing Market
Some of the major players operating in the global healthcare cloud computing market are athenahealth, Inc., CareCloud Corporation, Carestream Health, ClearDATA, Dell, NetDepot.com LLC, IBM Corporation, Iron Mountain Incorporated , IBM Watson Health, Cisco Systems Inc., HP Development Company, L.P., Microsoft, VMware, Inc. , Salesforce.com, inc., ClearDATA, SYNOPTEK, LLC., Cisco, Oracle, GE healthcare, CitiusTech Inc., Napier Healthcare Solutions Pte. Ltd., HealthAsyst, Optum, Inc., McKesson Corporation, 3M, Omnicell, Inc., Ciox Health, Wipro, Nuance Communications, Inc., Infosys Limited, Cognizant among others.
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Table of Contents-Snapshot Executive SummaryChapter 1 Industry OverviewChapter 2 Industry Competition by ManufacturersChapter 3 Industry Production Market Share by RegionsChapter 4 Industry Consumption by RegionsChapter 5 Industry Production, Revenue, Price Trend by TypeChapter 6 Industry Analysis by ApplicationsChapter 7 Company Profiles and Key Figures in Industry BusinessChapter 8 Industry Manufacturing Cost AnalysisChapter 9 Marketing Channel, Distributors and CustomersChapter 10 Market DynamicsChapter 11 Industry ForecastChapter 12 Research Findings and ConclusionChapter 13 Methodology and Data Source
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Market Definition:Global Healthcare Cloud Computing Market
This market report defines the market trends and forecast the upcoming opportunities and threats of the healthcare cloud computing market in the next 8 years. Cloud computing is used for the delivery of hosted services over the internet. The healthcare industry market has changed significantly with the growing impact of consumerism, digitalization, preventative healthcare and regulations. A shift in cloud computing which is playing a prominent role in healthcare IT is expected to accelerate the global healthcare industry in the future. Cloud and big data services can be used to track various diseases map them geospatially and inform the population where risk exists. Few tools that exist in the healthcare marketplace today include Centers for Disease Control and Prevention (CDC), IBM Explorys, McKesson, eClinicalWorks, Cerner, IBM Phytel Population Health Management among others. Cloud computing in healthcare is used for population health management, care management support, image handling services, diagnostic support, medical practitioner assistance, patient connectivity, data distribution services laboratory services, clinical research and many more. Numerous standards are applied to different aspects of healthcare solutions which are required for customers to understand the available standards and to understand whether cloud services are attached to relevant standards for the capabilities provided. For instance, in the U.S., every healthcare entity such as hospital, university research facility, physicians office, that deals with (Protected Health Information) PHI must adhere to the guidelines stipulated by Health Insurance Portability and Accountability Act (HIPAA).
Market Segmentation:Global Healthcare Cloud Computing Market
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Global Healthcare Cloud Computing Market 2020 Competitive Insights, Trends and Demand Growth to 2027 - Germany English News
Global Cloud Computing Chips Market expected to grow USD XX.X million by 2025 – Curious Desk
This detailed research report on the Global Cloud Computing Chips Market offers a concrete and thorough assorted compilation of systematic analysis, synthesis, and interpretation of data gathered about the Cloud Computing Chips Market from a range of diverse arrangement of reliable sources and data gathering points. The report provides a broad segmentation of the market by categorizing the market into application, type, and geographical regions.
In addition, the information has analysed with the help of primary as well as secondary research methodologies to offer a holistic view of the target market. Likewise, the Cloud Computing Chips Market report offers an in-house analysis of global economic conditions and related economic factors and indicators to evaluate their impact on the Cloud Computing Chips Market historically.
This study covers following key players:
IntelAmazonGoogleCambriconHuaweiMicrosoftBaiduAMDNVIDIAXilinxAlibabaUnisocSamsung Electronics
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The report is a mindful assortment of vital factors that lend versatile cues on market size and growth traits, besides also offering an in-depth section on opportunity mapping as well as barrier analysis, thus encouraging report readers to incur growth in global Cloud Computing Chips Market. This detailed report on Cloud Computing Chips Market largely focuses on prominent facets such as product portfolio, payment channels, service offerings, applications, in addition to technological sophistication. All the notable Cloud Computing Chips Market specific dimensions are studied and analysed at length in the report to arrive at conclusive insights. Apart from highlighting these vital realms, the report also includes critical understanding on notable developments and growth estimation across regions at a global context in this report on Cloud Computing Chips Market.
Besides these aforementioned factors and attributes of the Cloud Computing Chips Market, this report specifically decodes notable findings and concludes on innumerable factors and growth stimulating decisions that make this Cloud Computing Chips Market a highly profitable. A thorough take on essential elements such as drivers, threats, challenges, opportunities are thoroughly assessed and analysed to arrive at logical conclusions. Additionally, a dedicated section on regional overview of the Cloud Computing Chips Market is also included in the report to identify lucrative growth hubs. These leading players are analysed at length, complete with their product portfolio and company profiles to decipher crucial market findings.
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Market segment by Type, the product can be split into
Graphics Processing Unit (GPU)Field Programmable Gate Array (FPGA)Application-Specific Integrated Circuit (ASIC)
Market segment by Application, split into
BFSIManufacturingGovernmentIT & TelecomRetailTransportationEnergy & UtilitiesOthers
The report also lists ample correspondence about significant analytical practices and industry specific documentation such as SWOT and PESTEL analysis to guide optimum profits in Cloud Computing Chips Market. In addition to all of these detailed Cloud Computing Chips Market specific developments, the report sheds light on dynamic segmentation based on which Cloud Computing Chips Market has been systematically split into prominent segments encompassing type, application, technology, as well as region specific segmentation of the Cloud Computing Chips Market.
Some Major TOC Points:
1 Report Overview
2 Global Growth Trends
3 Market Share by Key Players
4 Breakdown Data by Type and ApplicationContinued
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Global Cloud Computing Chips Market expected to grow USD XX.X million by 2025 - Curious Desk
Public cloud muscle has proved it can bear the strain – TechHQ
The unprecedented shift to new forms of work and play for millions of internet users worldwide has caused a monumental surge in demand among services and applications that operate on cloud infrastructure.
The powerful agility and reliability of cloud computing has been the secret sauce of our world, powering work productivity, virtual gatherings for meetings and interactions with friends and family, online on-demand entertainment, virtually hosting education courses and training seminars, fueling e-commerce, cross border collaborative endeavors, and so much more following the paradigm shift after the coronavirus moved everyone indoors for large quantities of time.
While previously under-utilized software and tools are finally flourishing from home offices, the underlying framework of the major cloud service providers is now being tested on unheard-of levels. In the wake of the crisis, many industry observers expected the Big Four cloud giants of IBM, Amazon Web Services (AWS), Google Cloud, and Microsoft Azure to be overburdened beyond their limits.
In the first true mass test of public cloud coping capabilities, the opposite has instead proven to be the rule: Cloud network support and cloud-based applications have not only been performing at close to optimal levels across the major service providers, they have also handled the lions share of load-bearing duties with barely a performance blip. At least, so far.
AWS has been shouldering the support for most of the consumer-facing applications that have been called into heavy usage over the past two months. This includes the likes of the now ubiquitous Zoom, Netflix, and Slack. These apps have all had to scale rapidly to cope with heightened usage of their platforms, and their backend support has risen admirably to the challenge.
In addition to this, AWS is also hosting and supporting parent company Amazons other digitized holdings, like their Amazon Prime video streaming service, the Twitch gaming platform, and even its namesake online shopping platform all of which have also seen increased traffic.
Even Amazons robust physical delivery and supply chain operations are struggling to cope. So far, AWS has been managing all these loads with aplomb.
As the fallout from the pandemic continues, major cloud operators have even been supplying a selection of their service offerings for free, or at significant cut-rate prices.
In addition to offering its web productivity kit G-Suite for free to the healthcare sector and helping build out new data mining techniques for the COVID-19 open research dataset, Google Cloud has also activated its Black Friday/Cyber Monday Protocol (that deals with unseasonably high traffic surges) to help retailers and other businesses that are going through exponential traffic booms.
IBM, like all major public clouds, has contributed reserve cloud capacity to handle consumption spikes, but also attributes the ease of this with having transformed many of its critical apps such as file transferring and video streaming into cloud-native architectures making it more flexible to shift around heavier workloads to where there is available capacity.
This contained approach to workload management has helped organize strained enterprise loads, delivering a denser application of the cloud-based environment.
Cloud services, especially from the major providers, have really come a long way in the past decade. Data load strains and rationing have hardly been an issue for most enterprise clients, although Microsoft did explain that the accelerated demand for Azures services meant that a few temporary restrictions were implemented to balance the best possible experience for all of our customers, the company said in an Azure blog.
This load balancing was initially announced in the same post that revealed the explosive growth in adoption of Microsofts own proprietary platforms like Microsoft Teams, which saw a whopping 775 percent increase in users in Italy, and Windows Virtual Desktop, which has seen 3x growth in the same month.
The ease that remote connectivity is enjoying this time around is due in no small part to the unsung heroes of public cloud networking. While remote working and social isolation are disrupting other aspects of a balanced life, we can be thankful that at least the technology-driven disruptors are being solidly backed up. A little patch of assurance in a sea of uncertainty for the moment, at least.
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Public cloud muscle has proved it can bear the strain - TechHQ
Making the most of a multi-cloud strategy – IT World Canada
Written by Paul Katigbak President commercial sales at Dell Technologies, Canada
In a relatively short period of time, cloud computing has transitioned from a foreign concept to an omnipresent service proven to be the most efficient means to manage and store data. While the evolving convenience, accessibility and flexibility of the cloud has changed its perceived value, every organization is moving at its own pace through their cloud journey. Yet, nearly all are working with a multi-cloud approachincluding a combination of clouds hosted on-premises, in public clouds and at the edge. In fact, according to a study by IDC, an overwhelming majority of organizations (93%) are deploying workloads across two or more clouds which are hosted on-premises, co-located or at edge locations.
As organizations embark on their digital transformation journey, it is imperative they have a strategy in place to make the most of the data, security, resiliency and application advantages of multi-cloud environments. There are also challenges that should be considered including multiple application programming interfaces (APIs), longer development time and roadblocks to sharing applications and data across cloud platforms. A hybrid-cloud approach enables consistent infrastructure and operations that can extend customers applications and processes seamlessly across public, private and edge deployment options.
As Canadian businesses place a closer focus on multi-cloud solutions, here are some important considerations to make the most of a multi-cloud strategy.
One of the primary benefits of cloud is that it provides the ability to access data anytime, anywhere, but theres no denying that it also means data is more open to security threats. Weve seen this as data breaches have become increasingly common. Legacy systems, however, are continually being deemed inefficient in the current tech environment. Yet at the same time, as modernization begins to take place, there is an inherent cybersecurity concern that comes from the lack of control and visibility into security practices in hosted cloud environments. Multi-cloud balances this concern by allowing organizations to select the right environment and level of security for each workload. In a multi-cloud environment, sensitive information can stay on-premises but public-facing information can still be hosted off-premises.
To make the most of multi-clouds benefits, organizations must remember to consider cloud as an operating model and should seek relationships with the right partners that allow them to plan and treat cloud on a workload by workload basis while also providing awareness of security policies.
While cloud environments offer clear benefits in terms of efficiency and cost, a business needs can change. Multi-cloud environments provide the ability to adjust through flexibility and transparency helping both IT teams and organizations in general, find true business value. An organization can choose how to handle each workloadbut has the flexibility to easily change how data sets and workloads are stored and used if necessary.
With the complexity that is layered over multiple clouds and multiple vendors, having one central hub for operations and management reduces complexity and can help lighten the load for IT staff/maintenance.
With this type of approach, multiple environments can be monitored and automated from a single control pane, which greatly reduces the time and effort required to maintain multi-cloud environments. This creates transparency across all assets no matter where they reside, allowing for more efficient operations as well as the ability to gauge return on investment from each vendor. To make the most of any cloud environment, organizations should look at their long-term plan to determine how their infrastructure needs will evolve over the next five, 10 or even 20 years.
Transitioning to the cloud is one of the most important and fundamental steps in any organizations digital transformation. A multi-cloud approach, when implemented correctly, should be a best practice to keep data secure. The benefits are numerous, and with the future primed for the evolution and adaptation of emerging tech, multi-cloud provides an essential foundation for tomorrows workloads and workforce needs.
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Making the most of a multi-cloud strategy - IT World Canada
Cloud Computing Market Emerging Trends, Business Opportunities, Segmentation, Production Values, Supply-Demand, Brand Shares and Forecast 2020-2027 -…
The Global Cloud Computing Marketresearch reports evaluates the pivotal aspects of the industry such as market scenario, demand, key players, prevalent business tactics, and gives an extensive view of the past and present market growth to deduce a forecast for the same in the coming years. The Cloud Computing market reports forecast extends to various market factors such as gross revenue (encompassing USA, EU, China, India, and Japan, among others), CAGR, and regional markets. The study offers accurate information that are concisely illustrated through different tools of pictorial representation including graphs, tables, and charts pertaining to Cloud Computing products, market segments, business verticals, leading vendors projected revenue generation and overall forecast until 2026.
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The industry is growing with crucial technological innovations, new entrants, and other strategic initiatives by companies operating in the industry to accommodate the demands for various end-users. Leading firms in the Global Cloud Computing Market assessed in this report include:
AliyunDELLRackspaceMicrosoft AzureEMCOracleAmazon Web ServicesIBMGoogle Cloud PlatformSAPVmwareSalesforce
The report gives a comprehensive outlook of the major participants in the sector, the strategies deployed by them to gain a competitive upper hand, the year-on-year growth recorded by them as observed in the historical data, and the revenue generated by their business segments.
Scope Of The Report:
The Cloud Computing market offers information gathered from both primary and secondary sources associated with the regional and global market. Detailed analysis of several components have been studied in the report, along with the demand-supply dynamics, pricing analysis, costing, revenue, gross margins, major geographical regions, latest technology, consumer base, and value chain. The industry studies the focus on the industry dynamics, along with the driving factors to offer the key elements fueling the existing market growth. The report also examines the industrial scenario, highlighting the drivers and opportunities affecting to infer the key elements of the market growth. The report also assesses the hurdles and opportunities to recognize those segments with the highest growth segments of the Cloud Computing market.
Furthermore, the study conducts a SWOT analysis, PESTEL analysis, and value chain analysis of the Cloud Computing market to determine the influence of several elements such as, bargaining power of suppliers and buyers, competition, and threat of new entrants or substitutes on the rise of the Cloud Computing market.
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The report analyzes Cloud Computing in the global industry, while studying the production capacity, revenue generation, consumption, distribution, sales, import and export status, market share and growth rate for the forecast period 2020-2026. The study sheds light on key aspects of the sector and presents the data collected in a precise and organized manner with the help of monographs, tables, pie charts, and bar-graphs. Ultimately, the report makes some important proposals for new projects in the Cloud Computing market and its economic viability.
Segment by Type, GlobalCloud Computing Market can be split into:
Infrastructure as a Service (IaaS)Platform as a Service (PaaS)Software as a Service (SaaS)
Segment by Applications, GlobalCloud Computing Market can be split into:
Large enterpriseSmall and Medium enterpriseGovernment
The robust research on the Cloud Computing market addresses the needs of the customers in terms of data availability, analytics, statistical analysis, and accurate forecast of the industry. The market study also presents the competitive landscape with the key market players engaged in the market.
The report examines the market prospects for major geographic regions dependent on the growth rate, shift in consumer preferences, and the supply and demand scenario.
Regional analysis:Each geographical region is analyzed based on Sales, Market Share (%) by Types & Applications, Production capacity, Consumption, and Imports & Exports Analysis to deduce the projected growth. The geographic regions assessed in the report include USA, Europe, Japan, China, India, Southeast Asia, South America, South Africa, and Others.
Key point summary of the Cloud Computing market Report:
1) Examining the overall market, underlining the recent trends and SWOT analysis2) Cloud Computing Market scenario, focused on the growth opportunities in the market in the coming years3) Analysis of the different market segments, including qualitative and quantitative research and studies the impact of both economic and non-economic factors4) Inspection of the market at regional and global levels focusing on the demand and supply factors affecting the growth of the Cloud Computing market.5) Market size (USD Million) and volume (Units Million) statistics for all market segment and sub-segment6) Competitive analysis with Cloud Computing market share of leading market players, shedding light on project launches and tactical approaches implemented by the players in the last five years7) Extensive company profiling comprising of the product offerings, key financial facts and figures, recent developments, SWOT analysis, and strategic initiatives by the major firms in the Cloud Computing market
The Cloud Computing market report provides answers to the following key questions:
At what rate is the Cloud Computing market expected to grow in size in the forecast period?What are the key factors influencing the global Cloud Computing market growth?Which significant market trends are driving the growth of the global Cloud Computing market?Which factors are the determinants of the market shares of the leading geographies across the globe?Who are the leading participants in the industry and what are the strategies adopted by them in the global Cloud Computing market?What are the opportunities and challenges encounters by vendors in the global Cloud Computing market?Which trends, drivers and challenges are affecting the growth of the industry?What is the outcome of the PESTEL analysis of the global Cloud Computing market?
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The Cloud Computing market report provides a detailed investigation of the parent market backed by data collected from industry experts, pertaining to both the past, present, and draws an accurate growth trajectory for the forecast period, which is aimed at helping the participants engaged in the industry. Our team of analysts uses their expertise to curate the market intelligence report to help individuals operating in the industry, helping them benefit from the industry scenario.
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Cloud Computing Market Emerging Trends, Business Opportunities, Segmentation, Production Values, Supply-Demand, Brand Shares and Forecast 2020-2027 -...
Several good reasons to not doubt the Cloud – PC-Tablet
Whether one loves them or hates them; Google is simply too sleek and massive to ignore. That the Lloyds Banking Group recently signed up with Google Cloud for a five-year partnership is testament to what industry giants see in the future of cloud computing.
Looking for next-level quantum computing capabilities, an enterprise is migrating into the cloud for an array of benefits that legacy models have a hard time beating. Not only Google, but innumerable cloud companies now dot the landscape. Much like so many innovations that have shaped the trajectory of the tech arena over the last three decades, cloud computing faced initial hesitation from business, and for good reason. The legacy model of ownership of data (as in on-site possession) predating yet entrenched during the 20th century was a rough one for many businesses to overcome.
With modern business now increasingly looking to the cloud for answers and efficiencies, those days should be over for any business looking for a competitive edge and to get ahead as effectively as possible. Cloud storage is simply the modern version of what was previously known as off-site secure document storage, but with significantly more space-age abilities. Weve been contracting out secure storage when it really matters for decades; the modern cloud is, at least in part, the digital version one that can render a formerly elite (and costly) service in an affordable and egalitarian way.
Smaller concerns are often so busy trying to define their difference from corporates, that it can obscure some useful acknowledgement. With over 80percent of global organisations in the cloud in some way, shape or form, its not merely a testament to the safety and facility of the cloud. These are often big corporates with huge resources to devote to stringent testing. They often have a heavy obligation to comply with data privacy and other laws, too. If theyre in the cloud, everyone can know that the cloud is safe, secure and enabling for commerce.
One of the primary benefits that enterprise is anticipating from the cloud lies in the arena of quantum computing. Especially for those with data lakes to paddle through, the prospect of vastly faster sorting and extrapolation sounds like heaven. That said, quantum computings benefits can as easily be enjoyed by smaller concerns. For example, SME IT firms like EC-MSP now as often deal with extrapolating the benefits of cloud computing as they do with straight cloud migrations. Indeed, seemingly small improvements derived of quantum computing can have a big impact on smaller concerns.
The way quantum computersattain their dazzlingcomputingpower is by linking quantumphysics realities into processing power, making supercomputers. The cloud is fast becoming the quantum cloud, or rather quantum computing is presenting as the next level for cloud computing to manifest. There are essentially three current hopes around the quantum cloud, from business point of view:
First, the old and constant pursuit of business: greater productivity from enhanced internal efficiencies. An easier cloud and faster quantum processing make for quicker and thus happier, more effective employees.
Second, business intelligence is anticipated to make a quantum leap of its own, too. Accelerated business intelligence is more than the prospect of staying ahead of the competition: its defining the landscape. Such is the expectation from quantum clouds there is almost an anticipation of prophetic abilities from quantum computing yet those expectations will define the quantum clouds development and delivery, too, as we head towards a supercomputing future. For business, AI and Machine Learning (ML) will coalesce in the quantum cloud.
Third, quantum clouds are futuristic only a minuscule percentage of businesses are aggressively investing in quantum cloud tech right now. However, they hope to glean an enviable competitive advantage and accelerated profitability by being the first in. By all rational and historical analysis, its most likely that they will. The results could in fact be profound; businesses willing to insist on and build cloud supercomputing power and intelligence might very well define business in the near future.
The very same Lloyds that has just undertaken to spend an alarming amount of money with Google, has also recently pointed out that losses suffered by US firms from but a few days of a primary cloud service provider being offline would amount to around $15 billion, plus associated losses. Thats not going to happen but for force majeure, however, the figure is a dramatic indicator of just how mainstream cloud computing has become since 2018.
The business wisdom of shedding everything but the core is old school it needs no fortification. Untold businesses over the years have contracted out all functions but their core function, only to greatly enhance their service or product offering, and profitability. A business IP and data might have seemed too sensitive once upon a time to risk with third parties, but that is in complete contradiction to a core focus and the ability to get better and better.
Cloud-based quantum computing is still a nascent technology, but current key industries investing with intent include the finance, security and manufacturing sectors. These industries have spotted something valuable there, and everyone else would do well to do their own homework, too.
Quantum clouds are still off most budgets, but theyre appearing more regularly. Skills development around supercomputing in the cloud is increasing. The technology is complex, often expensive to research and develop, and sometimes to employ. Contained within these current restraints, however, is a picture of the kind of enhanced IT future that will manifest. The very complaints that typically greet tech then get to inform its development tech will make itself applicable as a life choice and the cloud and emerging quantum cloud are no exceptions.
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Several good reasons to not doubt the Cloud - PC-Tablet
The 26 Most In-Demand IT Skills And Expertise Employers Want In 2020 – CRN: Technology news for channel partners and solution providers
Most Wanted
Talent shortfalls are hindering IT projects. According to a survey of IT managers conducted by the Robert Half professional staffing firm, 67 percent want to expand their teams in such areas as security, cloud computing and business intelligence, but 89 percent reported challenges in recruiting the talent they need.
The challenge is even greater in finding professionals with deep experience in emerging technologies such as machine learning, artificial intelligence, virtual reality and blockchain. This talent is exceedingly rare, the report says, quoting Robert Half staffing specialists.
The impact of these talent shortages can impact a business beyond the IT department given that many digital initiatives are often enterprise-wide in scale and scope, the report said, and can hinder both back- and front-office operations and even an organizations go-to-market strategy.
The report identified 26 specific tech skills and areas of expertise that are in high demand right now. Heres a look at each one.
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The 26 Most In-Demand IT Skills And Expertise Employers Want In 2020 - CRN: Technology news for channel partners and solution providers
ETF Areas That Make Good Investment Choices for April – Yahoo Finance
The coronavirus outbreak continues to spread with more than 1.34 million confirmed cases and above 74,000 casualties globally, per Johns Hopkins University data. The United States remains on top of the chart with the highest number of coronavirus-infected cases. It recorded in excess of 368,000 cases, with a death toll of more than 10,000. In order to combat the outbreak, President Trump has extended the lockdown until Apr 30. Notably, around 80% of Americans have been put under lockdown as coronavirus cases continue to spike in the United States.
Cloud Computing to the Rescue
In the current scenario, people have to maintain social distancing and work remotely. Resultantly, cloud computing is emerging as a key technology in the fight against coronavirus. Cloud computing and storagehave empoweredvideo conferencing, gaming, e-commerce shopping, remote project collaboration, online classes, editing, etc. It is supporting organizations in remotely processing a lot of information, developing and running key applications and services, and also helping employees across the world collaborate while working.
Before the lockdown, companieswere alreadydiscarding their own data centers to rent computing from Amazon AMZN, Microsoft MSFT and Google GOOGL. However, this shift is expected to speed up now, as millions of employees are working remotely from home. Investors can look at the following ETFs that can gain from the current trend -- First Trust Cloud Computing ETF SKYY, Global X Cloud Computing ETF CLOU and WisdomTree Cloud Computing ETF WCLD (read: ETFs to Gain on Cloud Computing Growth Amid Coronavirus Crisis).
Streaming Services & Social Media Trending Now
As increasing number of people are spending time at home, in line with social-distancing guidelines due to the coronavirus pandemic, they are resorting to streaming for in-house entertainment. In this regard, Ted Sarandos,chief content officer at Netflix NFLX, has commented that the company is seeing an increase in online viewership.Other streaming platforms like Prime Video, Hulu, orDisney+DIS are also witnessing increased viewership.
Facebook FB is also seeing a significant rise in usage of its services, including Messenger, Instagram and WhatsApp. Against this backdrop, lets take a look at some ETFs that can gain like Vanguard Communication Services ETF VOX, Fidelity MSCI Communication Services Index ETF FCOM, Invesco NASDAQ Internet ETF PNQI, MicroSectors FANG+ ETN FNGS, Invesco Dynamic Media ETF PBS and iShares Evolved U.S. Media and Entertainment ETF IEME (read: Should You Buy Facebook ETFs as Coronavirus Boosts Traffic?).
Robots See Rising Demand
The robotics market is flooded with opportunities as robots are being used for jobs such as sanitizing hospitals, homes and workplaces along with monitoring, surveying, handling and delivering food and medicines. In this context, Dr Susanne Bieller, General Secretary of the International Federation of Robotics, has said that robots have a great potential of supporting us in the current severe corona pandemic." Against this background, we have shortlisted the following ETFs for our investors to consider: Global X Robotics & Artificial Intelligence ETFBOTZ, ROBO Global Robotics & Automation ETFROBO, First Trust Nasdaq Artificial Intelligence and Robotics ETFROBT and iShares Robotics and Artificial Intelligence Multisector ETFIRBO.
ESG Investing Shows Resilience
Environmental, social and governance (ESG) investing has been gaining investor attention since the pre-outbreak period. Net inflows to ESG ETFs in the first three months of 2020 came in at around 6.7 billion. At the end of March, total assets of ESG ETFs were $19.1 billion, down from the peak of $20.8 billion in February but still higher than any point in 2019, noted Bloomberg. The numbers mostly indicate brighter prospects for ESG ETFs (read: ESG ETFs Appear Unscathed by the Coronavirus Carnage).
Thus, investors can take a look at the following ETFs likeXtrackers MSCI USA ESG Leaders Equity ETFUSSG,Vanguard ESG U.S. Stock ETFESGV,iShares ESG MSCI USA ETFESGU and Nuveen ESG Large-Cap Growth ETFNULG.
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ETF Areas That Make Good Investment Choices for April - Yahoo Finance
Industry 4.0 And IT/OT Convergence: Crossing The Digital Lines To Success – Forbes
If you've been around Industry 4.0 for a while, or even read about it, you know it embraces new technologies like IIoT, cloud computing, edge computing, artificial intelligence, machine learning and a whole lot more. People have defined Industry 4.0 in terms of orchestration and optimization, physical and digital, and manufacturing and supply chain. But most of these definitions are so complicated that Industry 4.0 itself is not all that well-defined.
My simple definition for Industry 4.0 is that it uses digital technology to solve business problems. But maybe that's a little too simple. So how about this? Industry 4.0 uses digital technology to transform the business for the future, creating new and better ways of doing business.
The best part of this definition is that it's open-ended. The new and better ways of doing business could be just about anything. New capabilities. New processes. Reducing costs. Empowering teams. Improving decision-making. Creating new and better ways of serving customers. Identifying new things that haven't been thought about yet. It's all Industry 4.0!
Another topic that's being mentioned alongside Industry 4.0 regularly is IT/OT convergence. IT (information technology) and OT (operations technology) have both been around for a while. Both trace their lineage back to the space program of the '50s, '60s and '70s.
IT and OT have traditionally been at opposite ends of the technology spectrum. IT has been all about big computers, big databases and processing lots of transactions. In manufacturing, think of the computers used to process sales orders.
OT has been about small and fast computers, operating in real time to control machines and equipment. Think of the computers on the manufacturing lines that run the equipment.
For the longest time, all we've been technically able to do is connect IT and OT systems together. It started in the early '90s with simple connectivity and data exchanges between ERP systems (IT) and automation and control systems (OT). Since then, these ideas of connectivity and data exchange have been the be-all and end-all of IT and OT convergence.
Interestingly enough, as technology has improved, the two ends of the spectrum are converging. The lines between IT and OT are no longer distinct, and, perhaps more importantly, no longer even matter.
Networks: Both IT and OT systems use similar networks with the same types of switches, routers, hubs, wireless access points, firewalls and such.
Computers: Whether you use end-user devices, servers, displays, personal computers, mobile devices or something else, they're pretty much the same for both IT and OT. Only some specialty computers, like programmable logic computers (PLCs) and distributed control systems (DCSs), are unique to the OT world.
Identification: Whether you use barcodes, radio-frequency identification (RFID), magnetic stripes or other tracking devices, it's completely ubiquitous for both IT and OT, with the same technologies common to both.
Mobile devices: For tablets, pads or smartphones, the technology is the same for both worlds.
Software: For operating systems, virtual machine (VM) software, database software and such, it's also the same.
But beyond this underlying technology, which in many cases already has converged, the good news is that the landscape from a user's perspective is also converging. New infrastructures, new platforms, new standards and new plug-and-play options are all coming together that are completely transforming (and eliminating) the differences between IT and OT technologies.
Roles: Solutions are based on roles in the organization. Many roles cross between the traditional boundaries of IT and OT, making the distinctions obsolete and requiring solutions to provide the capabilities needed for the role regardless of artificial IT and OT boundaries.
Apps:Apps that perform specific functions, which can be run anytime, anywhere, by anybody, also make the distinctions between IT and OT obsolete. They perform the required function regardless of traditional IT and OT boundaries.
Machines:In manufacturing, machines still exist because we still have to make stuff. Most machines, however, are now smart and have their own networking and databases. They generate more useful data than many IT systems of just a few years ago, again blurring the distinctions between IT and OT.
Workflow: One of the biggest weaknesses in the old-school connectivity-and-data-exchange world of IT and OT was that many business processes and workflows cut across both worlds, but workflows and processes can now be implemented as they should be for the business, and completely ignore all the old-school boundaries between IT and OT.
This is all great stuff. IT and OT really are converging to the point where distinctions between IT and OT technologies are all but gone. But, before wrapping this up, why are we doing all this? What is the business value behind IT and OT convergence?
Improved customer experience: For most companies, it's a lot more than just providing good products. It's about delivering an excellent customer experience, and that may mean offering services and data with the products, changing the way the company interacts with the customer to provide higher levels of customer service, and ultimately using the complete capabilities of the company to help customers solve their toughest business problems.
Improved business operations: Increase business velocity, agility and flexibility, leverage new technology to free up people's time, use new technology to eliminate repetitive tasks, increase productivity, reduce costs, expand employees' skill sets and ultimately create new and better ways of doing business.
So, whether you call it Industry 4.0, smart manufacturing or digital transformation, or whether you consider IIoT, cloud computing, edge computing, AI, machine learning and now IT/OT convergence, the goal is still the same: Digitally transform the business for the future and create new and better ways of doing business.
The good news is that's what Industry 4.0 and IT/OT convergence is already doing. You just need to find ways to make it happen faster.
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Industry 4.0 And IT/OT Convergence: Crossing The Digital Lines To Success - Forbes
How emerging technologies helped tackle COVID-19 in China – World Economic Forum
COVID-19 is a major global public health challenge. Its outbreak in China presented the fastest spread, the widest scope of infections and the greatest degree of difficulty in controlling infections of any public health emergency since the founding of the Peoples Republic of China in 1949.
In the battle against the outbreak, China actively leveraged digital technologies such as artificial intelligence (AI), big data, cloud computing, blockchain, and 5G, which have effectively improved the efficiency of the countrys efforts in epidemic monitoring, virus tracking, prevention, control and treatment, and resource allocation.
Here are a few of the ways information technologies were effectively leveraged:
A new strain of Coronavirus, COVID 19, is spreading around the world, causing deaths and major disruption to the global economy.
Responding to this crisis requires global cooperation among governments, international organizations and the business community, which is at the centre of the World Economic Forums mission as the International Organization for Public-Private Cooperation.
The Forum has created the COVID Action Platform, a global platform to convene the business community for collective action, protect peoples livelihoods and facilitate business continuity, and mobilize support for the COVID-19 response. The platform is created with the support of the World Health Organization and is open to all businesses and industry groups, as well as other stakeholders, aiming to integrate and inform joint action.
As an organization, the Forum has a track record of supporting efforts to contain epidemics. In 2017, at our Annual Meeting, the Coalition for Epidemic Preparedness Innovations (CEPI) was launched bringing together experts from government, business, health, academia and civil society to accelerate the development of vaccines. CEPI is currently supporting the race to develop a vaccine against this strand of the coronavirus.
In a crisis, collaboration is key. During the outbreak, a range of companies made their algorithms publicly available to improve efficiency and to support coronavirus testing and research.
Baidu Research, a world leader in AI R&D, open-sourced LinearFold (its linear-time AI algorithm), to epidemic prevention centers, gene testing institutions, and global scientific research institutions. The algorithm is an important tool for gene testing institutions, and R&D institutions during the epidemic, reducing the time taken to predict and study coronaviruss RNA secondary structure from 55 minutes to just 27 seconds. The algorithm also improves the speed of predicting and studying coronaviruss RNA secondary structure by 120 times and saves the waiting time for virus detectors and researchers by two orders of magnitude With the improved algorithm comes much-improved efficiency in virus detection and diagnosis than traditional algorithm.
Additionally, Zhejiang Provincial Center for Disease Control and Prevention (Zhejiang CDC) launched an automated genome-wide testing and analysis platform. Based on the AI algorithm developed by the Alibaba DAMO Academy (a platform funded by Jack Ma for science research), the group has shortened the genetic analysis of suspected cases from several hours to half an hour and can accurately detect virus mutations.
A security guard looks at a screen at Wuhan's Hankou Railway Station as travel restrictions for leaving the city, the epicentre of a global coronavirus disease (COVID-19) outbreak, are lifted and people will be allowed to leave the city via road, rail and air, in Wuhan, Hubei, China April 8, 2020.
Image: REUTERS/Aly Song
Artificial intelligence was also leveraged in subway stations, train stations and other public places where there is a high concentration of people and a high degree of mobility. While using the traditional method of temperature measurement is time-consuming, and would increase the risk of cross-infection due to the clustering of the people, companies such as Wuhan Guide Infrared Co. Ltd put forth new temperature measurement technology based on computer vision and infrared technology. This technology made it possible to take body temperature in a contactless, reliable, and efficient manner, with the people even unaware of it. With this technology in place, those whose body temperatures exceeded the threshold could quickly and accurately be located.
After the outbreak, big data played an important role in prediction and early warnings, analyzing the flow of people and the distribution of materials. Qihoo 360, a leading Internet company in China, released Big Data Migration Map this past February which users can access through mobile phones or computers to view the migration trend of the Chinese mainland from January 1, 2020 up to date. The tool became an important means of understanding and predicting changes in the epidemic situation nationwide.
A student attends an online class at home as students' return to school has been delayed due to the novel coronavirus outbreak, in Fuyang, Anhui province, China March 2, 2020. Picture taken March 2, 2020
Image: China Daily via REUTERS
In the epidemic response, relatively mature cloud computing technologies became as essential as water or electricity. Alibaba Cloud made its AI computing power available to public research institutions around the world for free to accelerate the development of new pneumonia drugs and vaccines. Meanwhile, Didi offered GPU cloud computing resources and technical support for combating the novel coronavirus to domestic scientific research institutions, medical and rescue platforms, for free.
As the virus spread, the demand for cloud-based video conferencing and online teaching has skyrocketed. Various cloud service vendors have actively upgraded their functions and provided resources. For example, Youku and Ding Talk (an all-in-one platform under Alibaba Group) launched the "Attending Class at Home" program to provide students with a secure learning environment and convenient learning tools. The Online Classroom function, which is made available for students of universities, primary and middle schools across China without charges during the epidemic, can support millions of students to take online classes simultaneously and has also covered schools in vast rural areas.
Furthermore, other enterprise companies increased access to their tools. Tencent Meeting made unlimited-time meetings for up to 300 participants free until the end of the epidemic. WeChat Work can support the audio and video conference up to 300 participants during the epidemic. During the epidemic, the tool provided free access to stable HD video conferences are accessible from phones allowing sharing documents and screens among up to 300 participants.
Blockchain technology eliminates intermediary, prevents data loss and tampering and provides traceability. It can play an important role in ensuring the openness and transparency of the epidemic information and the traceability of the epidemic materials. For example, blockchain technology can be used to record epidemic information and ensure that information sources are open, transparent, and traceable, thus effectively reducing rumors.
Lianfei Technology launched the nation's first blockchain epidemic monitoring platform, which can track the progress of COVID-19 in all provinces in real time, and register the relevant epidemic data on the chain so that the data can be traced and cannot be tampered with. The data links based on transparent monitoring and accountability are initially established to ensure that epidemic information is open and transparent.
5G, which has just been commercialized, has also played an important role in the epidemic prevention and control. It is mainly used in the fields of live-streaming video and telemedicine. China Mobile opened 5G base stations at Huoshenshan and Leishenshan hospitals, and realized 5G high-definition live broadcasting of the construction of these two hospitals, providing real-time views of the construction sites on a 24-hour basis for more than 20 mainstream media platforms such as People's Daily and Xinhua News Agency. The content was also distributed by China Daily overseas simultaneously, and the number of online viewers exceeded 490 million.
In addition, the epidemic also witnessed the transition of 5G + health from "experimental phase" to "clinical phase". In order to make full use of the resources of experts in large cities and hospitals, the 5G + remote consultation system has been quickly implemented in many hospitals across the country. The first remote consultation platform of Huoshenshan Hospital allows medical experts far away in Beijing to work with front-line medical staff of Huoshenshan Hospital through remote video connections and conduct remote consultations with patients, thus further improving the efficiency and effectiveness of diagnosis and treatment.
"New generation information technologies have unique advantages and can play an important role in responding to major public health challenges."
China's practice has proven that the new-generation information technologies have unique advantages and can play an important role in responding to major public health challenges.
The COVID-19 outbreak is a common challenge faced by mankind with all countries' interests closely intertwined. Countries continue to develop new solutions as the epidemic spreads. As it does, countries must share their learnings and work together. By doing so, they can collectively find the solutions needed to fight the virus and save lives.
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World Economic Forum articles may be republished in accordance with our Terms of Use.
Written by
QI Xiaoxia, Director General, Bureau of International Cooperation, Cyberspace Administration of China
The views expressed in this article are those of the author alone and not the World Economic Forum.
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How emerging technologies helped tackle COVID-19 in China - World Economic Forum