Category Archives: Cloud Computing

Source: AdityaB. Photography/ShutterStock.com

Investors are interested in growth which is why cloud computing stocks will continue to make sense for the long term. Grand View Research expects the cloud computing market to grow at an annual rate of 14.1% between 2023 and 2030.

That growth far exceeds growth in the overall economy and will entice investment capital en masse. In short, investors can reasonably expect that a dollar invested in cloud computing stocks today will be worth much more in the future.

To be honest, the best buy-and-hold forever cloud computing stocks are likely the three largest tech names. Ive only included one below. Lets explore it and two others that offer strong potential returns in the near future.

Source: Peteri / Shutterstock.com

Microsoft (NASDAQ:MSFT) is a clear buy-and-hold stock for investors seeking long-term value and returns.

A lot has happened to the company over the past few years, most of which has accelerated what was already strong growth.

The pandemic gave Microsoft a massive boost. It accelerated tech firms in a way that was massively beneficial. Lockdowns sped the evolution of tech at a pace that wouldnt have been possible in the absence of a pandemic. Profits increased in turn and Microsoft boomed.

More recently, AI again helped Microsoft get ahead again. Its OpenAI investment has already paid off. Share prices have surged in 2023 because of it.

Microsoft is also a cloud computing giant. Microsofts intelligent cloud revenues reached $22.1 billion in the second quarter. That represented a 17% increase YoY and more than 40% of overall sales.

Azure and other cloud service revenue increased by 27% during the period. The overall thrust is that Microsoft is a cloud computing stock that is much more than cloud computing alone and is highly likely to continue growing even though its already massive.

Source: Sundry Photography / Shutterstock

Snowflake (NYSE:SNOW) provides a data cloud platform that allows users to access its data cloud consisting of multiple public clouds.

It wasnt built using legacy big data technology like other clouds. Instead, it was designed for native use within the cloud. Firms simply sign up and access the data Snowflake houses without any hardware and very little software.

Snowflake is very large and is growing at a phenomenal rate. Revenues grew by 48% during the most recent quarter on a year-over-year basis to $624 million.

There arent any other cloud firms at that scale that offer growth at that rate. Thats the hook for Snowflake. It is a growth stock and it comes with attendant problems growth stocks have. Net losses eclipsed $226 million during the first quarter. Theyre increasing, not shrinking.

Further, SNOW stock is particularly sensitive to interest rates. Share prices collapsed in 2022 but the long-term narrative still favors the company given its scale and growth. Any narrowing of losses will certainly send prices higher also.

Source: monticello / Shutterstock.com

Digital Ocean (NYSE:DOCN) is a sleeper stock in the cloud computing sector.

It doesnt get anywhere near the attention that the big three cloud providers do. The reason is simple: The big three serve large enterprise customers while Digital Ocean serves their small and medium enterprise counterparts.

Large enterprises account for a greater percentage of IT investment overall. Thats not a positive for Digital Ocean. Yet, small businesses make up most of the worlds economy.

Theyre also lagging relative to large firms in terms of digital transformation. Thats where Digital Oceans opportunity lies. It has a tremendous opportunity in front if it. It can sell, sell, sell to SMEs and bring them into the digital age.

A lot of investors believe in DOCN stock for precisely that reason which partially explains why it is oversold currently. Investors should wait for prices to fall some and pick up shares that are likely to grow for some tie to come.

On the date of publication, Alex Sirois did not have (either directly or indirectly) any positions in the securities mentioned in this article. The opinions expressed in this article are those of the writer, subject to the InvestorPlace.com Publishing Guidelines.

Alex Sirois is a freelance contributor to InvestorPlace whose personal stock investing style is focused on long-term, buy-and-hold, wealth-building stock picks. Having worked in several industries from e-commerce to translation to education and utilizing his MBA from George Washington University, he brings a diverse set of skills through which he filters his writing.

The rest is here:

3 Millionaire-Maker Cloud Computing Stocks to Buy And Hold Forever - InvestorPlace

Hello and welcome back to the June 2023 issue of Citizen Tech, InformationWeeks monthly global policy roundup. This month were looking mostly at artificial intelligence, and lawmakers inability to legislate it, but also a number of aggressive actions by SEC and FTC, divergent tech visions at the European Commission, crypto-financing of war, cloud computing as the front of a new cold war, and more.

Any Citizen Tech readers who watch baseball might have seen the dapper figure of Rishi Sunak, prime minister of the United Kingdom, at the Washington Nationals stadium for the game against the Arizona Diamondbacks. (Mr. Rishi didnt throw the traditional first pitch: hes a cricket player, and the sight of the windup for a slow bowl is enough to give a baseball player a stroke.) Sunak was in Washington to bang the drum for Britain, in his own words, and meet with CEOs of Americas leading companies.

The main reason for Sunaks visit, of course, was a visit to the White House, where apart from the war in Ukraine and other diplomatic questions, the PM and the president discussed tech. AI was a principle concern, according to POLITICO, who underlined Sunaks challenge as a kind of regulatory balance. Mimicking the EUs posture on AI -- that is, considering it a danger to be controlled rather than a resource to be exploited -- is unattractive to a PM like Sunak, who wants to invite as much investment and make as much use of Brexit as he can. On the other hand, the United States unwillingness to confront AI as a threat makes the British nervous: Sunaks government has, notably, categorized AI as a human rights question, according to Reuters. Thats hardly a mark of confidence.

(Perhaps its not fair to say that the US has not confronted the challenges of AI. But even Bidens boasts of a proposed AI Bill of Rights are pretty weak tea compared with the major legislation slowly taking form across the Atlantic.)

For now, Sunak is tacking west rather than east, toward Washington rather than Brussels. At the Nationals game mentioned above, Sunak met with the CEO of Denver-based Palantir, Alex Karp. Palantir will likely get a $610 million contract from the Sunak government to implement a complicated AI regimen in the British National Health Service; the company has also announced that its European headquarters will be in London.

But Sunak is tacking, not driving a straight westbound course, and as such he must satisfy the anti-AI side as well. POLITICO reported that he is interested in establishing guidelines, and perhaps a summit of G7 countries to discuss the subject. The CEOs of OpenAI and Google DeepMind have found themselves called to Downing Street for private talks.

One of the open questions, however, is whether Britain can hold its own as an international arbiter of AI regulation. If the EU manages the push through an AI regulatory framework of GDPRs scope, Sunak might find his ambitions scuppered. On the other hand, if he acts fast, he might be able to beat Brussels to the punch. Washington, in the meantime, seems perfectly willing to cede this responsibility to Brussels or Westminster.

Incredibly, Sunak wasnt the only Hindu head of government to visit Biden this month. Overshadowing his visit was the arrival of the ever-controversial Narendra Modi, prime minister of India, a country whose trade with the US has doubled over the past 10 years, according to Reuters. Biden spared no horses welcoming him, between gala dinners and invitations to joint sessions of Congress. The unstated theme, which all parties denied, was the two countries common rival, China. (Its not about China, we heard over and over. One is reminded of Margaret Thatchers comparison of being a powerful country to being a lady: if you have to go around telling people) But Bidens post-COVID anxieties about supply chains are another key motivator. India is a useful friend.

But tech was another important theme, and the White House secured the august Kennedy Center as a venue for Modi to speak to various American tech barons, from OpenAIs Sam Altman to Apples Tim Cook. Modi proposed an innovation handshake to them, which amounts to a cutting back of regulatory guidelines for deals between the two countries. Micron technology has already announced plans for a semiconductor plant in India; General Electric will be partnering with Hindustan Aeronautics in the near future.

Several confidential sources told the New York Times this month that the White House was considering, with the aid of American cloud providers like Microsoft, new ways to strike at Chinese cloud computing services like Alibaba and Huawei. Strike at might be too aggressive a description, but the air of hostility is palpable, and in any event, we dont know quite what kind of new regulations are being discussed. Will this consist largely of lawsuits, like the failed suit against ByteDance? Or will new laws keep American infrastructure unattached to Chinese-owned 5G networks and Chinese cloud storage? The problem, of course, is that Chinas command economy allows for much more generous subsidies than the White House can feasibly offer domestic companies to tempt them away from cheap Chinese infrastructure. In that sense, and for all the Chinese foreign minister complained to Secretary of State Antony Blinken during his visit to Beijing about interference, this is not a fair fight. In the background, of course, looms Taiwan, producer of the worlds semiconductors, possible site of a war that America can neither fight nor stay out of.

The Biden administration might be passive in the AI sector, but it recently flexed its muscles in the cryptocurrency sector. One June 5, the SEC announced that it was charging the worlds biggest crypto trading platform, Binance, with a number of crimes: selectively allowing American investors special access, while claiming otherwise; running unregistered securities exchanges; and misleading investors. Binances founder, Changpeng Zhao, has also been charged.

According to one document flagged in discovery, Binances chief compliance officer said: [W]e are operating as a fking unlicensed securities exchange in the USA bro. Pretty damning under ordinary circumstances; much worse coming from the CCO.

For most of the month, Zhao and his colleagues scurried about between meetings with counsel and calls with the SEC, trying desperately to keep their assets from being frozen. On Sunday June 18, as CNN Business reported, the beleaguered cryptobros succeeded. According to the terms of the deal, Binance will repatriate American holdings and cede control of them.

The question on which this trial will hinge is whether cryptocurrency assets count as securities. The SEC faces exactly the same problem it faced last year, during its initial skirmishes with crypto platform Coinbase: it has no solid definition of what a security is, or at least a definition that keeps abreast of cryptocurrency. This will be SEC chair Gary Genslers most formidable obstacle going forward. Its not, however, his only problem. As Jessica Nix reports at Forbes, the cryptophobic Gensler has devoted enemies in Congress; and a rather lurid article in the in the New York Post has insinuated that Genslers 2022 meeting with disgraced crypto kingpin Sam Bankman-Fried breached the agencys ethical protocol. No other news outlet has pursued this story, but it may weigh the scales in Binances favor, if only indirectly.

The FTC has been busy in court this month, with one case against Microsoft and the other against Amazon.

Microsoft had had its eyes on Activision Blizzard, the Santa Monica-based video game producer behind popular titles such as Overwatch and World of Warcraft, for some time, and tried to acquire the company for just under $69 billion, as the Verge reported. This acquisition of one tech behemoth by another raised eyebrows in the major antitrust offices of the world. In a strange reversal of the usual trend, the European Commission decided not to pursue the case, while the Khan FTC demanded an injunction. Even stranger, the UKs Competition and Markets Authority has sided with the FTC.

This isnt the first time the FTC has pursued a video game-Big Tech merger, which underscores how important gaming is to the world economy; its also not a certain victory, as the case is ongoing. But its another sign of Lina Khans indefatigably aggressive posture. In this case, it seems to be working -- or so the Times thinks.

On the 21st, FTC brought another suit against Amazon, not on antitrust grounds but on more familiar territory for 200 million of you: they claimed Amazon had coerced or manipulated users -- duped them, in FTCs own words -- into signing up for an Amazon Prime subscription, as the New York Times reported. Allegedly, Amazon had intentionally made it difficult for users to shop without buying a Prime subscription, through a number of subtle means including the manipulation of color on a given page. This would be a violation of that great pillar of GDPR, informed consent. Amazon had just shaken hands with the FTC over a previous lawsuit, one alleging that the voice-activated Alexa service had made illegal use of childrens data. Khan is proving herself the Marshal Murat of tech regulation: when in doubt, she charges, and then she charges again.

Online misinformation is a tech battle whose fiercest crusaders have been, until now, of the liberal left. But starting this month -- justly or cynically, depending on your point of view -- Republican lawmakers have thrown the accusation of misinformation back at a series of institutions seen as sympathetic to the Democrats. These include universities, like Columbia, as well as the Atlantic Council, the German Marshall Fund, and even the Wikipedia Foundation. The Times reports that House Republicans, particularly in the House Judiciary Committee, have launched subpoenas and other, quieter inquiries and legal challenges against American civil society. Will this go very far? Probably not. But expect questions of nongovernmental influence on government, and web neutrality, to crop up in the upcoming election debates. It is, in a way, the right-wing response to left-wing accusation of censorship.

EU internal market commissioner Thierry Breton arrived in California this month in a welter, insisting in a meeting with Elon Musk and Twitter CEO Linda Yaccarino that Twitter test its compliance with the EUs new Digital Services Act. This new framework is enormous and untested; no one quite no knows what compliance would look like, and Big Tech firms -- especially online platforms with 45 million-plus users -- arent keen to find out.

Breton met with Metas Mark Zuckerberg as well, managing to secure Zuckerbergs agreement to the non-binding AI Pact first proposed at the 2023 G7 summit. Its the best Breton could do, given that the EU wont be ready to approve any AI legislation for two or three years, given the excruciating pace of EU lawmaking. However, of the two lords of California, Zuckerberg seemed the more cooperative. Perhaps its contrition, given Metas billion euro fine last month, or whatever passes for contrition in the C-suites of Big Tech firms; or perhaps its the necessarily political nature of the European Commissions interference with Twitter. Musk, after all, has displayed a certain sympathy for the other side in the ongoing Ukrainian War and a resentment of what he considers political censorship.

Speaking of Breton, heres a bit of Brussels gossip, courtesy of POLITICO. Bretons vision of AI enforcement differs profoundly from his Commission colleague Margrethe Vestagers. Bretons is more punitive; Vestagers more accommodating. The Frenchmans first concern is protecting Europes internal market; the Danes is cementing Europes role as a global regulatory player. Vestager is keen to draft AI legislation with her colleagues in Washington, for instance; Breton shows a certain Gaullist diffidence (one that his president, Emmanuel Macron, occasionally displays in these matters).

This growing competition would just by gossip, and unimportant to most Citizen Tech readers, except that the next generation of AI legislation is being drafted in Brussels, not on Capitol Hill. The repercussions are international.

However different American and European Big Tech stances can be, regulators from both sides of the Atlantic agreed this month that Google had overstepped antitrust rules grossly. Its a question of adtech, the algorithms that decide which ads a given internet user should see on any given page. Google owns a number of services, most notably Google Ads, which offer such algorithms; Google also owns the online marketplaces where these services are traded. In other words, they are buying and selling to themselves, forcing competitors out of the ad market. Or so Commissioner Vestager claimed this month in a statement; worse, she claimed, Google subtly modified its behaviour so as to make [its illegal practices more difficult to detect].

The solution, according to the statement, would be for Google to break up its adtech business, divesting itself of tools like AdX.

Notably, the Commission statement thanked the US Department of Justice:

Our cooperation with the DOJ has been close and fruitful, from the beginning of our respective investigations. There are of course differences between our legal procedures and our legal systems, but we share the same view as to what is good for competition, and ultimately, how to best remedy the issues for the benefit of consumers and citizens.

This case clearly shows the benefits of a very strong transatlantic cooperation.

Can crypto save Ukraine? At POLTICOs Global Tech Day, Ukraines minister for digital transformation, Oleksandr Bornyakov, claimed that his government had raised some $60 million in crypto donations since February 2022. Cryptocurrency occupies a somewhat depersonalized role in matters of state and war. The pace of technology seems to be moving in the opposite direction to the stable authority of the nation state. Its not a coincidence, for example, that tech regulation should be dictated by a quasi-empire like the EU, or that unregulated blockchain currency should end up filling the coffers of a state at war.

More mundanely, Bornyakov announced the creation of a new technology procurement platform, called Brave1, which allows small-to-medium sized enterprises (SME) to pitch cyber and defense tech solutions directly to Kyiv. This model could well pioneer a new approach to government procurement and SME cultivation; and as the White House continues to examine grant applications for semiconductor manufacturers, the simplicity of the Brave1 model might look very attractive indeed.

From a Gargantuan GDPR Fine to More Hot Water for Meta

From Bank Nightmares to a Spyware Scandal in Greece

From Terrorists on YouTube to the Chips Act and Its Discontents

Go here to see the original:

June 2023 Global Tech Policy Bulletin: From Rishi on Robots to ... - InformationWeek

Cognitive Cloud Computing: Enhancing Cybersecurity with AI

In todays digital age, cybersecurity has become a critical concern for businesses, governments, and individuals alike. As the volume and sophistication of cyber threats continue to grow, traditional security measures are no longer sufficient to protect sensitive data and systems. Cognitive cloud computing, which combines the power of artificial intelligence (AI) with the flexibility and scalability of cloud-based infrastructure, offers a promising solution to this pressing challenge.

Cognitive cloud computing refers to the integration of AI technologies, such as machine learning, natural language processing, and computer vision, into cloud computing platforms. This fusion enables the development of intelligent applications and services that can learn from data, adapt to changing conditions, and make informed decisions. In the context of cybersecurity, cognitive cloud computing can be harnessed to enhance threat detection, response, and prevention capabilities.

One of the key advantages of cognitive cloud computing in cybersecurity is its ability to process and analyze vast amounts of data at unprecedented speeds. As cyber threats become more complex and diverse, security analysts are often overwhelmed by the sheer volume of information they need to sift through. AI-powered cognitive systems can quickly and efficiently analyze large datasets, identifying patterns and correlations that may indicate a potential security breach. This not only helps security teams detect threats more quickly but also enables them to prioritize their response efforts based on the severity and likelihood of an attack.

Another significant benefit of cognitive cloud computing is its capacity for continuous learning and adaptation. Traditional security systems rely on predefined rules and signatures to identify threats, which can be easily bypassed by sophisticated attackers using novel techniques. In contrast, AI-driven cognitive systems can learn from past experiences and automatically update their knowledge base to stay ahead of emerging threats. By continually refining their models and algorithms, these systems can detect and respond to new attack vectors that may have gone unnoticed by conventional security tools.

Moreover, cognitive cloud computing can help organizations develop more proactive and resilient cybersecurity strategies. Instead of merely reacting to incidents after they occur, AI-powered systems can predict potential vulnerabilities and recommend appropriate countermeasures. For example, machine learning algorithms can analyze historical data on security incidents to identify trends and common attack patterns. This information can then be used to inform the development of targeted security policies and controls, reducing the likelihood of future breaches.

In addition to enhancing threat detection and prevention capabilities, cognitive cloud computing can also improve the efficiency and effectiveness of cybersecurity operations. By automating routine tasks and streamlining workflows, AI-driven systems can free up valuable time and resources for security analysts to focus on more strategic and complex issues. Furthermore, cognitive systems can facilitate collaboration and information sharing among security teams, helping to break down silos and foster a more unified approach to cybersecurity.

Despite its many advantages, the adoption of cognitive cloud computing in cybersecurity is not without challenges. Issues such as data privacy, algorithmic bias, and the potential for AI-driven systems to be exploited by malicious actors must be carefully considered and addressed. Additionally, organizations must invest in the necessary infrastructure, tools, and skills to support the effective implementation of cognitive cloud computing solutions.

In conclusion, cognitive cloud computing holds significant potential for enhancing cybersecurity in an increasingly interconnected and data-driven world. By harnessing the power of AI, organizations can better detect, respond to, and prevent cyber threats, while also improving the overall efficiency and effectiveness of their security operations. As the technology continues to evolve and mature, it is likely that cognitive cloud computing will play an increasingly central role in the ongoing battle against cybercrime.

Continued here:

Cognitive Cloud Computing: Enhancing Cybersecurity with AI - CityLife

Over the years, cybersecurity threats have evolved significantly, from simple attacks like viruses and malware to complicated hacking techniques and ransomware attacks. As the cybersecurity landscape becomes more complex, the need for equally advanced defense mechanisms becomes paramount.

However, with rapid technological advancements, there has been a significant rise in innovative solutions that offer unprecedented protection against cyber-attacks. Among these technologies, generative AI and cloud computing stand out as powerful tools that leverage artificial intelligence in enhancing cybersecurity. In this article, we will explore how generative AI and cloud computing can work together in enhancing cybersecurity and offer unparalleled protection.

The integration of generative AI, a subset of artificial intelligence, into the realm of cybersecurity has a ton of potential. One such application can be the generation of realistic honeypots. Honeypots are systems or networks designed to attract attackers, diverting their attention from actual targets. By integrating artificial intelligence into cybersecurity systems, organizations can develop authentic honeypots that mimic real systems or networks, making it harder for attackers to differentiate between real and fake ones.

Moreover, generative AI can help in anomaly detection in cybersecurity. By training artificial intelligence models on large datasets of normal system behavior, organizations can leverage generative AI algorithms to detect anomalies or deviations from expected patterns. These anomalies can serve as indicators of potential cyber-attacks or security breaches. Through real-time monitoring of system behavior, organizations can swiftly identify and respond to any suspicious activities, preventing threats from causing significant damage.

Cloud computing plays a vital role in enhancing cybersecurity by providing scalable and flexible infrastructures to handle the growing volume and complexity of security data. The clouds computational power and storage capabilities are crucial in processing and managing the vast amounts of data generated by security systems.

One of the significant advantages of cloud-based security solutions is the ability to share real-time threat intelligence and collaborate on defense mechanisms. By leveraging the cloud, organizations can aggregate and analyze security data from various sources, such as network logs, endpoint devices, and threat intelligence feeds. This holistic view enables the identification of patterns and correlations that would be challenging to detect with isolated, on-premises security systems. By sharing this threat intelligence across organizations and industries, collective defense strategies can be developed to proactively combat cyber threats.

Furthermore, cloud-based security solutions offer automatic updates and patch management. As cybersecurity threats constantly evolve, attackers discover new vulnerabilities and exploit them. By utilizing cloud-based security services, organizations can benefit from the expertise and resources of cloud service providers who continuously monitor and update their security systems to defend against emerging threats. This relieves organizations of the burden of manual updates and ensures they remain protected against the latest vulnerabilities.

When combined, generative AI and cloud computing can unleash unprecedented levels of cybersecurity protection. Generative AIs ability to create realistic decoys and detect anomalies, coupled with the scalability and flexibility of cloud computing, empowers organizations to effectively safeguard their sensitive data and systems.

However, it is crucial to acknowledge that the adoption of generative AI and cloud computing for cybersecurity also present new challenges and risks. The creation of realistic decoys using generative AI requires meticulous design and testing to ensure they cannot be distinguished from real systems by attackers. Additionally, the vast amount of security data processed and stored in the cloud raises concerns about data privacy and compliance with data protection regulations. Organizations must implement robust encryption and access control mechanisms to secure their cloud environments and protect sensitive data.

Cybersecurity is a critical concern in our interconnected world. The advancements in generative AI and cloud computing offer ground-breaking solutions to enhance cybersecurity measures. Generative AI enables the creation of realistic decoys and the detection of anomalies, while cloud computing provides scalable infrastructure for handling security data and enables collaborative defense strategies. Although challenges and risks exist, with proper implementation and security measures, the combination of generative AI and cloud computing can lead to unparalleled protection against cyber threats. By leveraging the power of artificial intelligence and the capabilities of the cloud, organizations can fortify their defenses and ensure a safer digital environment for all.

Read the original here:

Enhancing Cybersecurity with Generative AI and Cloud Computing - Analytics Insight

New Jersey, United States,-Mr Accuracy Reportspublished new research on GlobalCloud Computing in Educationcovering micro level of analysis by competitors and key business segments (2022-2029). The Global Cloud Computing in Education explores comprehensive study on various segments like opportunities, size, development, innovation, sales and overall growth of major players. The research is carried out on primary and secondary statistics sources and it consists both qualitative and quantitative detailing.

Some of the Major Key players profiled in the study areAdobe Systems, Inc., Cisco Systems, Inc., Ibm Corporation, Oracle Corporation, Microsoft Corporation, Nec Corporation, Netapp, Vmware, Inc., Amazon Web Services, Inc., Ellucian Company L.P.

Get PDF Sample Report + All Related Table and Graphs @:https://www.mraccuracyreports.com/report-sample/214173

Various factors are responsible for the markets growth trajectory, which are studied at length in the report. In addition, the report lists down the restraints that are posing threat to the global Cloud Computing in Education market. This report is a consolidation of primary and secondary research, which provides market size, share, dynamics, and forecast for various segments and sub-segments considering the macro and micro environmental factors. It also gauges the bargaining power of suppliers and buyers, threat from new entrants and product substitute, and the degree of competition prevailing in the market.

Global Cloud Computing in Education Market Segmentation:

Cloud Computing in Education Segmentation by Type:

.

Cloud Computing in Education Segmentation by Application:

K-12, Higher Education

Key market aspects are illuminated in the report:

Executive Summary:It covers a summary of the most vital studies, the Global Cloud Computing in Education market increasing rate, modest circumstances, market trends, drivers and problems as well as macroscopic pointers.

Study Analysis:Covers major companies, vital market segments, the scope of the products offered in the Global Cloud Computing in Education market, the years measured and the study points.

Company Profile:Each Firm well-defined in this segment is screened based on a products, value, SWOT analysis, their ability and other significant features.

Manufacture by region:This Global Cloud Computing in Education report offers data on imports and exports, sales, production and key companies in all studied regional markets

Market Segmentation: By Geographical Analysis

The Middle East and Africa(GCC Countries and Egypt) North America(the United States, Mexico, and Canada) South America(Brazil etc.) Europe(Turkey, Germany, Russia UK, Italy, France, etc.) Asia-Pacific(Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, and Australia)

The cost analysis of the Global Cloud Computing in Education Market has been performed while keeping in view manufacturing expenses, labor cost, and raw materials and their market concentration rate, suppliers, and price trend. Other factors such as Supply chain, downstream buyers, and sourcing strategy have been assessed to provide a complete and in-depth view of the market. Buyers of the report will also be exposed to a study on market positioning with factors such as target client, brand strategy, and price strategy taken into consideration.

Key questions answered in the report include:

Please click here today to buy full report @https://www.mraccuracyreports.com/checkout/214173

Table of Contents

Global Cloud Computing in Education Market Research Report 2022 2029

Chapter 1 Cloud Computing in Education Market Overview

Chapter 2 Global Economic Impact on Industry

Chapter 3 Global Market Competition by Manufacturers

Chapter 4 Global Production, Revenue (Value) by Region

Chapter 5 Global Supply (Production), Consumption, Export, Import by Regions

Chapter 6 Global Production, Revenue (Value), Price Trend by Type

Chapter 7 Global Market Analysis by Application

Chapter 8 Manufacturing Cost Analysis

Chapter 9 Industrial Chain, Sourcing Strategy and Downstream Buyers

Chapter 10 Marketing Strategy Analysis, Distributors/Traders

Chapter 11 Market Effect Factors Analysis

Chapter 12 Global Cloud Computing in Education Market Forecast

If you have any special requirements, please let us know and we will offer you the report as you want. you can also get individual chapter wise section or region wise report version like North America, Europe or Asia.

See the article here:

Cloud Computing in Education Market 2023 Growth Opportunities ... - The Bowman Extra

New Jersey, United States,-Mr Accuracy Reports , Cognitive Cloud Computing marketreport contains detailed information on factors influencing demand, growth, opportunities, challenges, and restraints. It provides detailed information about the structure and prospects for global and regional industries. In addition, the report includes data on research & development, new product launches, product responses from the global and local markets by leading players. The structured analysis offers a graphical representation and a diagrammatic breakdown of the Cognitive Cloud Computingmarketby region.

The global market size of Cognitive Cloud Computing will reach (2028 Market size $$) million $ in 2027 with a CAGR of % from 2022-2027.

Some of the Major Key players profiled in the study areGoogle, Inc., Clarifai, Inc, Apple, Inc., IBM Corporation, BMC Software, Inc., Amazon Web Services, Inc., IPsoft Inc., Baidu, Inc., Attivio, Inc., CognitiveScale

Request To Download Sample of This Strategic Report @https://www.mraccuracyreports.com/report-sample/321734

Market Overview

In the past few years, the Cognitive Cloud Computing market experienced a huge change under the influence of COVID-19, the global market size of Cognitive Cloud Computing reached (2021 Market size $$) million $ in 2021 from (2016 Market size $$) in 2016 with a CAGR of 7% from 2016-2021 is. As of now, the global COVID-19 Coronavirus Cases have exceeded 200 million, and the global epidemic has been basically under control, therefore, the World Bank has estimated the global economic growth in 2021 and 2022. The World Bank predicts that the global economic output is expected to expand 4 percent in 2021 while 3.8 percent in 2022. According to our research on Cognitive Cloud Computing market and global economic environment, we forecast that the global market size of Cognitive Cloud Computing will reach (2026 Market size $$) million $ in 2026 with a CAGR of % from 2021-2026.

Due to the COVID-19 pandemic, according to World Bank statistics, global GDP has shrunk by about 3.5% in 2020. Entering 2021, Economic activity in many countries has started to recover and partially adapted to pandemic restrictions. The research and development of vaccines has made breakthrough progress, and many governments have also issued various policies to stimulate economic recovery, particularly in the United States, is likely to provide a strong boost to economic activity but prospects for sustainable growth vary widely between countries and sectors. Although the global economy is recovering from the great depression caused by COVID-19, it will remain below pre-pandemic trends for a prolonged period. The pandemic has exacerbated the risks associated with the decade-long wave of global debt accumulation. It is also likely to steepen the long-expected slowdown in potential growth over the next decade.

The world has entered the COVID-19 epidemic recovery period. In this complex economic environment, we published the Global Cognitive Cloud Computing Market Status, Trends and COVID-19 Impact Report 2021, which provides a comprehensive analysis of the global Cognitive Cloud Computing market , This Report covers the manufacturer data, including: sales volume, price, revenue, gross margin, business distribution etc., these data help the consumer know about the competitors better. This report also covers all the regions and countries of the world, which shows the regional development status, including market size, volume and value, as well as price data. Besides, the report also covers segment data, including: type wise, industry wise, channel wise etc. all the data period is from 2015-2021E, this report also provide forecast data from 2021-2026.

Region Segmentation North America (United States, Canada, Mexico) South America (Brazil, Argentina, Other) Asia Pacific (China, Japan, India, Korea, Southeast Asia) Europe (Germany, UK, France, Spain, Italy) Middle East and Africa (Middle East, Africa)

Cognitive Cloud Computing Segmentation by Type:

.

Cognitive Cloud Computing Segmentation by Application:

Healthcare, IT&telecom, Government(Defense), Banking Financial Services, Insurance(BFSI), Retail, Other

Please click here today to buy full report @https://www.mraccuracyreports.com/checkout/321734

What is the goal of the report?

The market report presents the estimated size of the ICT market at the end of the forecast period. The report also examines historical and current market sizes. During the forecast period, the report analyzes the growth rate, market size, and market valuation. The report presents current trends in the industry and the future potential of the North America, Asia Pacific, Europe, Latin America, and the Middle East and Africa markets. The report offers a comprehensive view of the market based on geographic scope, market segmentation, and key player financial performance.

Read the original here:

Cognitive Cloud Computing Market 2023 by Keyplayers and ... - The Bowman Extra

Exploring the Impact of Multicloud Management Platforms on Cloud Computing Evolution

The cloud computing landscape has undergone a significant transformation in recent years, with the emergence of multicloud management platforms taking center stage. These platforms are revolutionizing the way businesses and organizations manage their cloud infrastructure, providing a comprehensive solution for managing multiple cloud environments. As more enterprises adopt multicloud strategies, the impact of multicloud management platforms on the evolution of cloud computing is becoming increasingly apparent.

One of the most notable impacts of multicloud management platforms is the way they have streamlined the management of cloud resources. In the past, managing multiple cloud environments was a complex and time-consuming process, often requiring IT teams to juggle multiple tools and interfaces. Multicloud management platforms have simplified this process by providing a single, unified interface for managing resources across multiple cloud environments. This not only saves time and effort for IT teams but also reduces the risk of errors and misconfigurations that can lead to security vulnerabilities and performance issues.

Another significant impact of multicloud management platforms is the increased visibility they provide into cloud environments. With the ability to monitor and manage resources across multiple clouds, IT teams can gain a comprehensive view of their entire cloud infrastructure. This enables them to identify potential issues and bottlenecks more quickly, as well as optimize resource usage and costs. Additionally, the increased visibility provided by multicloud management platforms can help organizations better understand their cloud spending and make more informed decisions about resource allocation and budgeting.

Multicloud management platforms also play a crucial role in enhancing security and compliance in cloud environments. By providing a centralized platform for managing security policies and configurations across multiple clouds, these platforms help ensure that organizations maintain consistent security practices across their entire cloud infrastructure. This is particularly important in the age of stringent data protection regulations, such as the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA), which require organizations to implement robust security measures to protect sensitive data.

In addition to improving security and compliance, multicloud management platforms also facilitate greater collaboration between IT teams and other business units. By providing a single platform for managing resources across multiple clouds, these platforms enable IT teams to work more closely with other departments to ensure that cloud resources are being used effectively and efficiently. This can lead to better alignment between IT and business objectives, as well as improved overall organizational performance.

Finally, multicloud management platforms are driving innovation in the cloud computing industry by encouraging the development of new tools and technologies. As organizations increasingly adopt multicloud strategies, the demand for solutions that can simplify and streamline the management of multiple cloud environments is growing. This has led to a surge in innovation in the multicloud management space, with new platforms and tools being developed to help organizations manage their cloud infrastructure more effectively.

In conclusion, multicloud management platforms are playing a pivotal role in the evolution of cloud computing, driving significant improvements in the way organizations manage their cloud infrastructure. By streamlining the management of multiple cloud environments, providing increased visibility into cloud resources, enhancing security and compliance, facilitating greater collaboration between IT teams and other business units, and driving innovation in the cloud computing industry, these platforms are revolutionizing the way businesses and organizations leverage the power of the cloud. As multicloud strategies continue to gain traction, the impact of multicloud management platforms on the evolution of cloud computing is likely to become even more pronounced in the coming years.

Read the original here:

How Multicloud Management Platforms are Revolutionizing Cloud ... - CityLife

HONG KONG (AP) Alibaba plans to spin-off of its cloud computing business and said Thursday that its logistics and grocery units will explore initial public offerings as the Chinese e-commerce company kickstarts a restructuring of its operations in hopes of spurring growth.

The company in March announced plans to reshape itself into six business divisions with plans to allow all but its core e-commerce business to raise external capital and go public.

In an earnings call Thursday, Alibaba CEO Daniel Zhang said that the Alibaba plans to fully spin off its cloud computing unit and complete a public listing in the next 12 months, allowing it to optimize operations, Zhang said.

Alibabas board of directors approved the full spin-off of the cloud computing unit via a stock dividend distribution to shareholders, the company said.

Zhang also said that Freshippo, its groceries arm, as well as logistics arm Cainiao, are ready to go public.

Alibabas board has approved plans to begin Freshippos IPO process and Cainiao will explore an IPO in the next 12 to 18 months, he said.

Other units such as Alibabas international digital commerce group, which operates Singapore-based e-commerce platform Lazada, will also explore raising external capital as it seeks to expand globally.

Alibaba Group Holding on Thursday posted a lower-than-expected 2% rise in revenue for the quarter ended March, suggesting that spending has been slow to bounce back in China since the removal of COVID-19 restrictions amid slowing economic growth.

The company reported revenues of 208.2 billion yuan ($29.6 billion) for its March quarter. It also reversed losses from the same quarter last year, posting a net income of 23.5 billion yuan ($3.3 billion) due to one-off gains from its equity investments.

Revenue from its China commerce business Alibabas largest business unit by revenue declined 3% compared with the same period last year. Its cloud computing unit also declined 2% in revenue.

See more here:

Alibaba approves cloud computing unit spin-off, prepares for grocery and logistics arms to go public - Yahoo Finance

By Stephen Nellis

(Reuters) - Ampere Computing on Thursday released a new family of data center chips with technology it has custom-designed for cloud computing companies.

Founded by former Intel Corp president Renee James, Ampere has focused on courting cloud companies that buy thousands of chips at a time and in turn rent them out. The company has deals in place with Alphabet Inc's Google Cloud, Microsoft Corp's Azure and Oracle Corp's cloud unit, among others.

Unlike Intel, Ampere uses a computing architecture from SoftBank Group Corp-owned Arm Ltd, which is also an investor in Ampere. But the new AmpereOne offerings announced Thursday are the first that use Ampere's own custom-designed computing cores, which are the most important part of the chips, which are in turn the brains of data center servers that power everything from business apps to social media sites.

The new Ampere chips will have as many as 192 of those cores where Intel chips tend to have only a few dozen. The high core counts are because cloud companies make money by slicing up chips and selling just a piece of their computing power to customers, and having a large number of cores makes doing so easier.

After Ampere disclosed its approach, Advanced Micro Devices announced a 128-core chip based on the what is called the "x86" architecture used by AMD and Intel. Intel also has a high-core-count chip in the works.

"It's flattering that the x86 vendors have been able to get closer to us, but we're well on our way to higher core counts now," said Jeff Wittich, Ampere's chief product officer.

Ampere last year filed a confidential registration with U.S. securities regulators for an initial public offering. Oracle, where Ampere's CEO James sits on the board, is a major investor. James declined to say when Ampere might go public.

"We did not pull our registration. We are ever hopeful that the market will open and that it will open for growth companies," James said.

(Reporting by Stephen Nellis in San Francisco; Editing by Mark Potter)

Read more:

Ampere Computing launches its custom chips aimed at cloud computing - Yahoo Finance

Amazon Web Services is a hulking mess of a cloud computing platform. It offers hundreds of distinct products and services, many of which overlap, with pricing schemes that almost seem designed to confuse. Enterprises love AWS, but then again, they also have armies of IT staff to figure it all out.

There's a big market for cloud computing simplicity. Platforms like DigitalOcean, Akamai's Linode, Vultr, Netlify, Vercel, and many others aim to make life as simple as possible for developers. In some cases, that means a highly curated list of services with dead-simple pricing. In others, it means an opinionated serverless platform that makes deploying applications a breeze.

Cloudflare (NET -0.91%) is taking the latter route with its serverless Workers platform. With Workers, developers can deploy full-stack applications to Cloudflare's global fleet of edge servers. Code runs nearly instantly as close to the end user as possible.

Cloudflare has been building an ecosystem around Workers for the past few years, rolling out products including R2 object storage, Pub/Sub for messaging, and the D1 relational database. But there's been one glaring problem that has made the whole platform a non-starter for many potential customers, and Cloudflare finally has the pieces in place to fix it.

Any useful web application needs some sort of database. There are countless database software options to choose from. In the world of relational databases, there's Oracle, Microsoft's SQL Server, and open-source options like MySQL and PostgreSQL. Outside of relational databases, there's the document-based MongoDB, key-value store Redis, and a slew of others. Some applications may use multiple databases, while others may stick to one. But somewhere, data needs to be persisted in an orderly, queryable way.

The one thing that almost all databases have in common is that they don't work over HTTP. In other words, hitting the database isn't just a simple API call. Databases generally use lower-level, long-lived TCP connections with custom protocols.

Up until now, Cloudflare's Workers did not support TCP connections. That means that a developer running a database somewhere else could not use Workers with that database without resorting to a middleman. A developer could set up a server application outside of Cloudflare that accepts API calls from a Worker, pulls data from the database, and returns it to the Worker, but the Worker could not access the database directly.

That's an annoying problem. Annoying enough, in all likelihood, to make Cloudflare Workers a non-viable option for many developers. The good news is that Cloudflare finally has the beginnings of a solution to this problem. On Tuesday, the company announced a new feature for Workers that allows outbound TCP connections.

Cloudflare Workers can now connect to any service that accepts TCP connections. There are some caveats, though. For connecting to databases, the database driver library a developer uses to initiate and manage the connection must explicitly support Cloudflare's solution. Cloudflare is working on broadening support, but there are currently big gaps.

Database access was the missing piece of the puzzle for Cloudflare workers. Once a Worker can connect directly to any database, the potential of the platform greatly expands. Suddenly, a developer hosting a database on AWS, or on any other cloud platform, can run their actual application on Cloudflare Workers, benefiting from the global reach of Cloudflare's network.

Serverless platforms like Cloudflare Workers take cloud computing and distill it down into deploying applications and not worrying about issues like scaling and performance. The platform takes care of all that. Compare this to the nightmare of managing complex cloud infrastructures on AWS, and you can see why serverless platforms are gaining in popularity.

With database access on its way to being a solved problem, Cloudflare Workers takes another step toward largely eliminating the need for a traditional cloud platform for developers and businesses.

John Mackey, former CEO of Whole Foods Market, an Amazon subsidiary, is a member of The Motley Fool's board of directors. Timothy Green has positions in DigitalOcean. The Motley Fool has positions in and recommends Amazon.com, Cloudflare, DigitalOcean, Microsoft, and MongoDB. The Motley Fool has a disclosure policy.

More here:

Cloudflare Is Fixing the Biggest Problem with Its AWS Killer - The Motley Fool