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Trained 2 Million People In Cloud Computing Skills In 5 Years: Aws | Mint – Mint

NEW DELHI: Amazon Web Services, subsidiary of e-commerce giant Amazon Inc., on Wednesday said it has trained over 2 million individuals in skills linked to myriad areas of cloud computing, ever since introducing its first such programme in India in 2017. It has worked with government-aided bodies, educational institutes and corporate organizations to achieve this milestone, which has included first-time learners and mid-career professionals alike.

Puneet Chandhok, president for India and South Asia at Amazon Web Services (AWS), cited an internal report to state that in the next three years, three of every five professionals in India will feel the need to learn cloud-related skills to progress their careers. AWS says its programmes are aimed at fulfilling this gap, which includes initiatives such as Amazon Restart.

Amazon Restart is a free, 12-week skill development programme targeted at unemployed and underemployed individuals, whom AWS helps in finding employment at basic levels for cloud computing and services-linked roles. Under Restart, the company has established partnerships such as with rural and semi-urban education development body, All India Society for Electronics and Computer Technology (Aisect) and consulting group IPE Global.

The company has also struck partnerships with corporate organizations such as financial analysis firm Perfios and consultancy firm, Tata Consultancy Services (TCS). Such partnerships are aimed at upskilling mid- and early-career level professionals in skills related to cloud computing and services on AWS.

To be sure, AWS is not the only big tech firm that has an active training and upskilling program in India. Microsoft, which is Amazons biggest competitor in the cloud services and computing sector with Azure, offers similar training programs under its India Skilling Initiative. In January this year, the company expanded on its umbrella offering with skilling programs directly targeting small and medium businesses (SMBs) in the country.

During its announcement of its digital skilling programs for SMBs, Microsoft had said its Global Skills Initiative programme had helped more than 30 lakh individuals in India gain digital skills across various industries and areas of interest, which included cloud computing as well.

Google India, too, announced a Career Certificate for Upskillers program in November last year, aiming to upskill 10 lakh individuals in digital skills that include cloud services, by 2023.

Debjani Ghosh, president of trade association Nasscom, said today that such skilling programmes should hold national priority", and called for collaboration across government, corporates and industry associations" to facilitate the same.

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Why Isnt New Technology Making Us More Productive? – The New York Times

Digital automation has eliminated 10 million phone calls that Anthems call centers would have fielded, estimated Rajeev Ronanki, president of digital platforms.

Anthem, which is changing its corporate name next month to Elevance Health, is not cutting its customer service staff. But the role of those workers and how their performance is measured have changed. The traditional metric of performance in call centers is call-handle time, and the less time per call, the better. Anthem now wants its customer service staff to resolve problems for callers with one call, whenever possible, rather than passing them to another department.

Many of its call center agents have received additional training to become what Anthem calls care navigators. Measurements of their performance now include issues resolved and consumer satisfaction surveys. By that broader set of measures, Mr. Ronanki said, the companys contact agents are 30 percent to 40 percent more productive. Adding skills and redesigning work, he said, are as important as improving technology.

Building the technical capability alone is just the beginning, Mr. Ronanki said.

It takes time for new technologies to spread and for people to figure how to best use them. For example, the electric motor, which was introduced in the 1880s, did not generate discernible productivity gains until the 1920s, when the mass-production assembly line reorganized work around the technology.

The personal computer revolution took off in the 1980s. But it was not until the second half of the 1990s that economic productivity really surged, as those machines became cheaper, more powerful and connected to the internet.

The 1990s revival was helped by a leap in technology investment by companies and by venture capitalists, especially in internet and web start-ups. Similarly, in the past decade software spending in the United States has more than doubled to $385 billion, as companies invest to digitize their operations, the research firm IDC reported.

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ARM Technology tackles AI, autonomous systems, cloud computing, and the metaverse – Manila Bulletin

COMPUTEX TAIPEI, one of the worlds largest computer trade shows, took place physically and virtually this year from May 24-May 27, alongside the 2-week COMPUTEX DigitalGo Online Exhibition organized by TAITRA.

CK Tseng, President of ARM Taiwan, addressed how the ICT industry more specifically ARM Technology can turn the challenges of the pandemic into opportunities to create a better future with digital technologies during the kickoffCOMPUTEX 2022 Global Press Conference held with a panel of tech leaders at the Taipei Nangang Exhibition Center.

Tseng weighed in specifically on the pandemics impact on the tech industry. When encountered with a situation like this, you will regret it if you did not set up lights out factories, unmanned warehouses, or smart retail. Such use cases require a lot of computing and AI. ARM, as the most progressive computing platform, needs to find a new way to serve our partners who already employ our solutions from AI sensors in the Amazon rainforest to track animal behaviors to the data processing units installed in data centers.

Raising the example of supply chain problems brought about by the pandemic in China, Tseng emphasized the importance of automated and intelligent systems in todays tech-driven world.

To support its partners technological innovations, ARM focused on adapting its business model from a traditional a-la-carte model in which customers order what they want before ARM delivers their IP technology, to the new Arm Flexible Access (AFA).

AFA, which represents a buffet-style business model, enables ARMs partners to accelerate their innovation by providing up-front, no-cost, or low-cost access to a wide range of ARM IP, tools, and training. Partners can experiment and design with the entire portfolio; license fees, if any, are only due at the point of manufacture and calculated only on the IP included in the final SoC design.

Tseng went on to introduce AFA for Startups as part of ARMs commitment to supporting early-stage silicon startups with limited funding. AFA for Startups provides no-cost access to IP, tools, and training, and is backed with support from ARM and the ARM ecosystem.

Tseng also shed light on ARMs partnership with third-party channel partners to drive better engagement to increase the service levels accorded to its AFA partners. AFA and AFA for Startups combined, ARM has already seen more than 20 licensees in Taiwan and will expect to see even more demand from the community.

In addition to these new business models, ARM, in collaboration with ITRI and the Industrial Development Bureau (IDB), created a platform called IC design platform to service the global startup community most of which are not granted access to backend design services that are often crucial.

There are tons of unlocked opportunities but we, together, are liable to work cohesively to leverage digitalization and unlock the potential of human beings with strengthened digital resilience,Tseng concluded.

Working with its partners to redefine the future of computing, ARM will continue to deliver technology that will address and efficiently tackle the demands of AI, autonomous systems, cloud computing, the Metaverse, and more.

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Cloud Computing IaaS In Life Science Market Size, Scope and Forecast | Cleardata Networks Dell Inc., Global Net Access (GNAX), Carecloud Corporation,…

New Jersey, United States The latest study released on the Cloud Computing IaaS In Life ScienceMarket with market Size, Share, Trend, and Forecast up to 2029. The market study covers significant research data and development resource documents for managers, analysts, industry experts, and other competitors. This report survey helps market participants make better judgments and understand market growth drivers, opportunities, and upcoming challenges. It investigates the growth of present and emerging categories and the revenue performance of the market industry.

TheCloud Computing IaaS In Life Sciencemarket analysis is provided for the international markets including development trends, analysis of competitive landscapes, and development status for key regions. The report provides a basic overview of the industry including definitions, classifications, applications, and industry chain structure. It covers information on profit models, competition spectrum, and associated vendor strategies illustrated by major players and market participants. The report comprises in-depth analysis and a comprehensive analysis of the future trends and developments in the market.

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The competitive landscape of the Cloud Computing IaaS In Life Science market is broadly studied in the report with a large focus on recent developments, and key growth strategies. The Cloud Computing IaaS In Life Science market threw light on their crucial business aspects such as production, areas of operation, and product/services portfolio. The report discusses the growth of the global as well as regional markets.

Key Players Mentioned in the Cloud Computing IaaS In Life Science Market Research Report:

Cleardata Networks Dell Inc., Global Net Access (GNAX), Carecloud Corporation, Vmware Carestream Health IBM Corporation, Iron Mountain Athenahealth, Inc. and Oracle Corporation.

The Cloud Computing IaaS In Life Science Market is highly fragmented and is characterized by key vendors and other prominent vendors. Key vendors are increasingly focusing on creating awareness about the Cloud Computing IaaS In Life Science market courses and their benefits. Global vendors are trying to stabilize themselves in the market, whereas, regional vendors are focusing on product/service offerings to establish themselves in the market. Vendors are providing a diversified range of product lines intensifying the competitive scenario.

Cloud Computing IaaS In Life ScienceMarket Segmentation:

Cloud Computing IaaS In Life Science Market, By Component

Software Hardware Services

Cloud Computing IaaS In Life Science Market, By Application

Nonclinical Information Systems (NCIS) Clinical Information Systems

Cloud Computing IaaS In Life Science Market, By Deployment Model

Private Cloud Public Cloud Hybrid Cloud

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Cloud Computing IaaS In Life Science Market Report Scope

Key questions answered in the report:

1. Which are the five top players of the Cloud Computing IaaS In Life Science market?

2. How will the Cloud Computing IaaS In Life Science market change in the next five years?

3. Which product and application will take a lions share of the Cloud Computing IaaS In Life Science market?

4. What are the drivers and restraints of the Cloud Computing IaaS In Life Science market?

5. Which regional market will show the highest growth?

6. What will be the CAGR and size of the Cloud Computing IaaS In Life Science market throughout the forecast period?

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VMI provides a holistic overview and global competitive landscape with respect to Region, Country, and Segment, and Key players of your market. Present your Market Report & findings with an inbuilt presentation feature saving over 70% of your time and resources for Investor, Sales & Marketing, R&D, and Product Development pitches. VMI enables data delivery In Excel and Interactive PDF formats with over 15+ Key Market Indicators for your market.

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Verified Market Research is a leading Global Research and Consulting firm that has been providing advanced analytical research solutions, custom consulting and in-depth data analysis for 10+ years to individuals and companies alike that are looking for accurate, reliable and up to date research data and technical consulting. We offer insights into strategic and growth analyses, Data necessary to achieve corporate goals and help make critical revenue decisions.

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Cloud Computing IaaS In Life Science Market Size, Scope and Forecast | Cleardata Networks Dell Inc., Global Net Access (GNAX), Carecloud Corporation,...

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Enterprise Information Management Market by Type (Cloud Computing, Big Data, Other), Application (Aerospace & Defense, BFSI, IT and…

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Dhirtek Business Research and Consulting most recent study on the enterprise information management market provides a comprehensive view of the entire market. The research report delves deeply into the global enterprise information management markets drivers and restraints. Analysts have extensively researched the global enterprise information management markets milestones and the current trends that are expected to determine its future. Primary and secondary research methods were used to create an in-depth report on the topic. Analysts have provided clients with unbiased perspectives on the global enterprise information management industry to assist them in making well-informed business decisions.

The comprehensive research study employs Porters five forces analysis and SWOT analysis to provide readers with a clear picture of the global enterprise information management markets expected direction. The SWOT analysis focuses on defining the global enterprise information management markets strengths, weaknesses, opportunities, and threats, whereas Porters five forces analysis emphasizes competitive competition. The research report goes into great detail about the trends and consumer behavior patterns expected to shape the global enterprise information management markets evolution.

Request a Sample of this Report at: https://www.dhirtekbusinessresearch.com/market-report/Enterprise-Information-Management-Market/request-for-sample-report

The global enterprise information management market research studys type, application, and region components are divided into three parts. Each segmentation is divided into chapters that go over the various details. The chapters include graphs that show year-over-year growth and segment-specific drivers and constraints. Furthermore, the study provides government forecasts for regional markets that affect the global enterprise information management sector.

Enterprise Information Management Market Segments

Regions Covered in the Global Enterprise Information Management Market:

In the report on the enterprise information management market, a detailed chapter on company profiles is included. The leading players in the global enterprise information management market are examined in this chapter. It contains a synopsis of the companys strategic goals and a description of its primary goods and services. An overall analysis of the organizations strategic initiatives reveals the trends that they are expected to pursue and their R&D statuses and financial outlooks. This research aims to provide readers with a thorough understanding of the global enterprise information management markets anticipated trajectory.

The following Companies as the Key Players in the Global Enterprise Information Management Market Research Report:

EMC, IBM, OTSI, Open Text, OpenText, Oracle, SAP

Dhirtek Business Research and Consulting conducted this study using primary and secondary sources. As primary sources, industry experts from core and adjacent industries and those involved in the market. All primary sources were interviewed to obtain and verify critical qualitative and quantitative data and gain access to prospects. Secondary sources include directories, white papers, blogs, and databases.

The market size for enterprise information management was estimated and validated using a top-down approach. Secondary research was conducted to identify key players in the industrial value chain, and primary and secondary research was conducted to determine these companies market revenues. This includes analyzing yearly business and financial reports from major industry players and conducting in-depth interviews with CEOs, directors, vice presidents, and marketing executives.

Secondary sources were used to gather geographic market estimates, which were then cross-checked with primary sources. Variables such as key players, sales partners, and distribution networks have an impact on them. The investigation also looks into the scope of each areas research efforts. The total market size for enterprise information management was computed and validated using revenue and revenue share data from market businesses. The market size of each category was calculated using a top-down approach based on the total market size.

This study provides critical information on the global markets current size and projected growth for enterprise information management and its related industries. It also discusses geographys market characteristics, significant suppliers, consumer preference trends, and market prospects. As many countries are in a recession, firms are attempting to weather the storm by limiting unanticipated losses and spending related to the enterprise information management market.

Introduction

Market Overview

Market Segmentation

Regional Analysis

Competitive Analysis

Company Profiles

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Enterprise Information Management Market by Type (Cloud Computing, Big Data, Other), Application (Aerospace & Defense, BFSI, IT and...

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Taking the mainframe into the cloud – ITWeb

Kevin Kemp, business development manager: application modernisation and connectivity, Micro Focus.

As enterprises increasingly move to the cloud, it is important for business leaders to understand that mainframes, which have for many years been the backbone of the global financial system, can also be accessed from any computing platform.

This, explains Kevin Kemp, business development manager for application modernisation and connectivity at Micro Focus, allows for the development and deployment of the latest, cloud-ready applications while still enabling the business to derive value from heritage investments. This not only results in more efficient and cost-effective ways to implement new initiatives, but should also significantly improve the customer, supply chain and employee experience.

It is worth noting that the majority of large banks, for example, still run significant mainframe estates. There are obviously good reasons for this, including the mainframes capability to process information, its ability to handle large workloads and process these against tight deadlines, and the strong security within the mainframe architecture, he explains.

Remember that compared to the more complex, server-based architectures, the mainframe one is much simpler and therefore lacks many of the vulnerabilities found in the more complicated architectures.

Kemp notes that mainframes today still process the vast majority of credit card and other financial transactions globally, as well as handling the majority of production IT workloads, adding that this is because they are more secure and more cost efficient than other computing platforms.

Justin Agar, account executive for application modernisation and connectivity at Micro Focus.

Justin Agar, account executive for application modernisation and connectivity at Micro Focus, suggests that decision-makers should consider accessing the mainframe from the cloud in the same manner they consider moving desktop applications to the cloud.

If you think about it, moving employees from a desktop version of Microsoft Office to the cloud-based Office 365 enables users to do the same work, only more efficiently. If this is the case, it should be clear that moving the host or mainframe access from the desktop to the cloud will enable mainframe users to do the same work they were doing before, but more efficiently. Nothing changes on the mainframe only the platform from which it is accessed, he says.

Remember too that the mainframe has much higher computing power than most commodity servers. Thus, you are able to maximise its ability to compute effectively, while at the same time ensuring you only use this compute power for the toughest and most essential work, while shifting all the non-essential work to the cloud for processing.

He notes that one of the key reasons for adopting such an approach is that the ability to shift compute power between the cloud and the mainframe gives the business owners the ability to manage their costs far better.

Kemp adds that the flexibility this offers in respect of managing workloads more effectively is critical, as cloud also offers the ability to scale up or down in real-time, unlike mainframes, which is why it is important to save the mainframe for the most essential work only.

While each environment is different, we have worked with clients who have budgets in excess of R300 million per annum, and combining the mainframe and cloud environments in this manner has reduced the costs associated with a pure mainframe environment by around 30%.

Recent research shows that modernisation must be continuous and evolving in order to meet the changing needs of todays business climate. Digital transformation demands a flexible and adaptive strategy aimed at improving results and accelerating time to value. By clicking here, IT leaders can quickly map their current IT estate to their future business strategy all while finding the right balance between costs, risk and speed.

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I beheld a quantum computer. It was weird and excellent. – Stuff

IBM

IBM scientist Andreas Fuhrer looks at the cryogenic refrigerator which keeps a quantum computers qubits super cold.

Peter Griffin is a freelance science and technology writer. He was the founding director of the Science Media Centre and founding editor of Sciblogs.co.nz

OPINION: You have to hand it to the likes of Niels Bohr, Werner Heisenberg and Erwin Schrdinger, scientists who were instrumental in developing the field of quantum mechanics about 100 years ago.

They had their work cut out for them trying to explain to a sceptical public the forces that dictate how the world works on the atomic and subatomic scale.

Even Albert Einstein whose own discoveries were towering reference points for these scientists could never reconcile that quantum measurements and observations are fundamentally random.

"It is this view against which my instinct revolts," he wrote in 1945.

READ MORE:* What does Google's Quantum Supremacy actually mean?* World-first experiment introducing atoms to one another may be key to next 'quantum revolution'* Quantum computer a possibility in 10 years* The ultimate geek pilgrimage* A computer 100m times faster than yours

Weve learned much about quantum mechanics since then, including how the principles of superposition and entanglement explain how information can be processed in ways computers like our laptops and smartphones cant match.

Last week I stood for the first time in front of a fully functioning quantum computer, IBMs Quantum System One, at the companys research labs in Yorktown Heights, New York.

The machine looks like a beautiful gold chandelier shrouded in a metal case that creates a vacuum in which the whole device is chilled to just above absolute zero, as cold as outer space.

The highly controlled conditions are required to eliminate interference that could prevent the quantum chip at the tip of the chandelier from doing its thing, which is to activate qubits the quantum version of the bits, the digital ones and zeros our binary computers work with.

IBM, Google, Microsoft and numerous other companies and research institutions have demonstrated how quantum computers are very good at a narrow range of computational tasks, such as simulating nature. Thats already seen them put to work modelling molecules and in the complex field of materials science.

ROBERT KITCHIN/Stuff

Stuff science columnist Peter Griffin.

Programmers are now working on computer algorithms to expand the ways in which quantum computers can be used. Cryptography experts think large quantum computers could crack existing encryption systems, which would cause a cybersecurity nightmare.

But quantum computers will need to scale up massively in power and be less prone to errors to be useful more broadly. IBM last year produced Eagle, a 127-qubit processor for its quantum computer and plans to introduce Osprey, its 433-qubit chip this year.

Eventually machines with hundreds of thousands or millions of qubits could be available for number crunching on a scale weve never seen before.

It's unlikely youll ever have a quantum computer on your desk or in your garage. Instead, IBM and its rivals rent access to their quantum computers as a cloud computing service.

Todays regular computers arent heading for the dustbin either. They are better at a wide range of tasks and can work in tandem to make quantum computers more useful.

Its unclear whether quantum computing can be properly applied to solving the big problems facing the world new antibiotics or climate change.

But the blistering pace of technical progress suggests it's a field heating up and one worth watching.

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Cloud Computing in Higher Education Market Share 2022 Size, Industry Revenue, Growth Insights, Top Players, Recent Developments, and Forecast till…

The study undertaken by Astute Analytica foresees a tremendous growth in revenue of the market forglobal cloud computing in higher education marketfromUS$ 2,693.5 Millionin 2021 toUS$ 15,180.1 Millionby 2030. The market is anticipated to grow at a CAGR of 22% during the forecast period 2022-2030.

Request Sample Copy of Research Report @https://www.astuteanalytica.com/request-sample/cloud-computing-higher-education-market

Cloud computing in higher education provides an online platform for educational institutes through various applications and subscription models. In this era of technology, employing latest IT technologies and services in higher education assists teachers, administrators and students in their education related activities. Cloud computing in higher education centrally manages the various business processes such as student and course management, helps teachers in uploading learning materials, students to access their homework, administrators to easily collaborate with each other and library management among others.Cloud computing segment is gaining majority of the spenders from high income group as well as skilled share of people from around the world.

On the basis of institute type, thetechnical schools are estimated to hold the highest market share in 2021 and is also expected to project the highest CAGR over the forecast period owing to increasing demand for cloud computing in technical schools.Moreover, based on ownership,private institutes segment is anticipated to hold the largest market share owing to increasing funding in private institutes for adoption of cloud computing services. Whereas, the public institutes segment is expected to grow at the highest CAGR over forecast period. Furthermore, in terms of application, administration application holds a major share in the cloud computing in higher education in 2021. Whereas, unified communication is expected to project the highest CAGR over the forecast period due to increasing trend of e-learning. In addition to this, by deployment, the hybrid cloud segment held the largest market share in 2021.

Market Dynamics and Trends

Drivers

The increasing adoption of SaaS based cloud platforms in higher education, increasing adoption of e-learning, increasing IT spending on cloud infrastructure in educationand increasingapplication of quantum computing in education sectorwill boost the global cloud computing in higher education market during the forecast period. Software-as-a-Service (SaaS) is a type of delivery model of cloud computing. In the higher education sector, SaaS applications include hosting various management systems for educational institutes and managing other activities. Moreover, higher education industry witnesses an increased adoption of e-learning due to its easy accessibility and high effectiveness. Users such as drop-outs, transfer learners, full-time employees are increasingly relying on e-learning trainings and education to upgrade their skills. Furthermore, higher education institutes are rapidly moving towards cloud-based services to save an intensive IT infrastructure cost and boost efficiency of operations.

Restraints

Cybersecurity and data protection risks, lack of compliance to the SLAand legal and jurisdiction issues is a restraining factor which inhibits the growth of the market during the forecast period. Issues related to data privacy pose threats in interest to mitigation of higher education institutions to the cloud. There are federal regulations for higher education institutes along with state and local laws to manage information security in the education environment. Moreover, the level of complexity in the cloud is high, which usually complies with several service providers and thus makes it hard for users to make changes or intervene. Also, the cloud computing industry faces various legal and jurisdiction issues that can run into years due to regional laws.

Cloud Computing in Higher Education Market Country Wise Insights

North AmericaCloud Computing in Higher EducationMarket-

US holds the major share in terms of revenue in theNorth Americacloud computing in higher education market in 2021 and is also projected to grow with the highest CAGR during the forecast period. Moreover, in terms of institute type, technical schools hold the largest market share in 2021.

EuropeCloud Computing in Higher EducationMarket-

Western Europeis expected to project the highest CAGR in theEuropecloud computing in higher education market during forecast period. Wherein,Germanyheld the major share in theEuropemarket in 2021 because there is high focus on innovations obtained from research & development and technology adoption in the region.

Asia PacificCloud Computing in Higher EducationMarket-

Indiais the highest share holder region in theAsia Pacificcloud computing in higher education market in 2021and is expected to project the highest CAGR during the forecast period owing to potential growth opportunities, as end users such as schools and universities are turning toward cloud services in order to offer high quality services that help users to collaborate, share and track multiple versions of a document.

South AmericaCloud Computing in Higher EducationMarket-

Brazilis projected to grow with the highest CAGR in theSouth Americacloud computing in higher education market over the forecast period. Furthermore, based on ownership, private institutes segment holds the major share in 2021 in theSouth Americacloud computing in higher education market owing to increasing funding in private institutes for adoption of cloud computing services.

Middle EastCloud Computing in Higher EducationMarket-

Egyptis the highest share holder region in 2021 and UAE is projected to grow with the highest CAGR during the forecast period. Moreover, in terms of application, administration holds a major share in the cloud computing in higher education in 2021. Whereas, unified communication is expected to project the highest CAGR over the forecast period due to increasing trend of e-learning.

AfricaCloud Computing in Higher EducationMarket-

South Africais the highest share holder region in theAfricacloud computing in higher education market in 2021. Furthermore, by deployment, the private cloud segment is expected to witness the highest CAGR during forecast period due to the security benefits provided by the private deployment of the cloud.

Competitive Insights

GlobalCloud Computing in Higher Education Market is highly competitive in order to increase their presence in the marketplace. Some of the key players operating in the global cloud computing in higher education market include Dell EMC, Oracle Corporation, Adobe, Inc., Cisco Systems, Inc., NEC Corporation, Microsoft Corporation, IBM Corporation, Salesforce.com, Netapp, Ellucian Company L.P., Vmware, Inc and Alibaba Group among others.

Segmentation Overview

Global Cloud Computing in Higher Education Market is segmented based on institute type, ownership, application, deployment and region. The industry trends in the global cloud computing in higher education market are sub-divided into different categories in order to get a holistic view of the global marketplace.

Following are the different segments of the Global Cloud Computing in Higher Education Market:

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By Institute Type segment of the Global Cloud Computing in Higher Education Market is sub-segmented into:

By Ownership segment of the Global Cloud Computing in Higher Education Market is sub-segmented into:

By Application segment of the Global Cloud Computing in Higher Education Market is sub-segmented into:

By Deployment segment of the Global Cloud Computing in Higher Education Market is sub-segmented into:

By Region segment of the Global Cloud Computing in Higher Education Market is sub-segmented into:

North America

Europe

Western Europe

Eastern Europe

Asia Pacific

South America

Middle East

Africa

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Light Reading VS Deep Reading: What You Read Matters … – Learning Mind

As information becomes more and more web-based, so too does the attention of the younger generations.

We rely on the internet to give us everything, from news to research, and it is having a huge impact on what we read and how we read it.

We have moved away from the deep reading of different texts and journals and moved towards the skim, light reading of web posts, and websites in order to get the information that we want.

This affects the way that our brains process and relay information.Instead of taking in each element of the text we read, we simply find the pieces of information that serve our agendas, rather than developing our brains to help us recall the information later.

When we read deeply, we read much slower; we take in the details of different sensory descriptions and we become much more immersed in the things we read.

Whereas with thelight reading, we read much faster, we look for the pieces of information that we want and we dont really look at everything else around it. This doesnt give us all of the information available from the text and it doesnt exercise our brains as much as deeper reading does.

Deep reading activates the centres in your brain which are responsible for speech, hearing, and vision, and helps them to work together to create an image in our heads.

Reading in this way also develops our ability to perceive and use language, and gives us the greater ability to create more complex sentence structures and fuller descriptions.

When we read deeply, we also take in the information much better than in the case of light reading. The information is stored in the brain when we deep read and is ready to be recalled later on.

Deep reading has also been shown to make us nicer. As we read we can articulate and develop the skill to understand our emotions much better than before, and this helps us to understand emotions in others as well.

Reading things such as poems, novels, and academic reports can massively develop your writing abilities. Make sure to take your time and soak in all of the available information to create a full picture, rather than skim-reading the information.

Putthese types of writings in your life rather than getting information only from online blogs and televisions shows, as they make your brain switch off almost immediately. Even though they are entertaining, they wont develop your writing ability whatsoever.

Unfortunately, in the modern world, reading has become an unpopular pastime, but the benefits of real reading are massive and shouldnt be ignored.

Next time youre writing a paper, a short story, or even just have some free time, take some time to read and read deeply, taking in all the information and really enjoying it.

References:

Contributing writer at Learning Mind

Francesca Forsythe is a professional writer who holds a dual award Master's degree in European Law and Philosophy of Law from Leiden University. She has written for several websites on a range of subjects across lifestyle, relationships, and health & fitness, as well as academic pieces in her fields of study.

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Light Reading VS Deep Reading: What You Read Matters ... - Learning Mind

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The hype around DeepMinds new AI model misses whats actually cool about it – MIT Technology Review

Nature is trying to tell us something here, which is this doesnt really work, but the field is so believing its own press clippings that it just cant see that, he adds.

Even de Freitass DeepMind colleagues Jackie Kay and Scott Reed, who worked with him on Gato, were more circumspect when I asked them directly about his claims. When asked whether Gato was heading toward AGI, they wouldnt be drawn. I dont actually think its really feasible to make predictions with these kinds of things. I try to avoid that. Its like predicting the stock market, said Kay.

Reed said the question was a difficult one: I think most machine-learning people will studiously avoid answering. Very hard to predict, but, you know, hopefully we get there someday.

In a way, the fact that DeepMind called Gato a generalist might have made it a victim of the AI sectors excessive hype around AGI. The AI systems of today are called narrow, meaning they can only do a specific, restricted set of tasks such as generate text.

Some technologists, including some at DeepMind, think that one day humans will develop broader AI systems that will be able to function as well as or even better than humans. Though some call this artificial general intelligence, others say it is like "belief in magic. Many top researchers, such as Metas chief AI scientist Yann LeCun, question whether it is even possible at all.

Gato is a generalist in the sense that it can do many different things at the same time. But that is a world apart from a general AI that can meaningfully adapt to new tasks that are different from what the model was trained on, says MITs Andreas: Were still quite far from being able to do that.

Making models bigger will also not address the issue that models dont have lifelong learning, which would mean that if taught something once, they would understand all the implications and use it to inform all the other decisions they make, he says.

The hype around tools like Gato is harmful for the general development of AI, argues Emmanuel Kahembwe, an AI and robotics researcher and part of the Black in AI organization cofounded by Timnit Gebru. There are many interesting topics that are left to the side, that are underfunded, that deserve more attention, but thats not what the big tech companies and the bulk of researchers in such tech companies are interested in, he says.

Tech companies ought to take a step back and take stock of why they are building what they are building, says Vilas Dhar, president of the Patrick J. McGovern Foundation, a charity that funds AI projects for good.

AGI speaks to something deeply humanthe idea that we can become more than we are, by building tools that propel us to greatness, he says. And thats really nice, except it also is a way to distract us from the fact that we have real problems that face us today that we should be trying to address using AI.

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The hype around DeepMinds new AI model misses whats actually cool about it - MIT Technology Review

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