Category Archives: Cloud Computing
5 Best Practices for Achieving Healthcare Cloud Compliance – ITPro Today
The cloud can be a great place to host healthcare workloads and data. But because anything related to healthcare is often subject to special compliance requirements, factoring compliance into your cloud strategy is especially important when you're dealing with healthcare data and apps.
With that need in mind, keep reading for a look at five best practices for healthcare cloud compliance.
Most healthcare data is governed by compliance regulations, such as the Health Insurance Portability and Accountability Act of 1996 (HIPAA), that require data (as well as any applications that manage the data) to be managed and secured in particular ways. For that reason, taking compliance into consideration is critical when running healthcare workloads in the cloud.
It's worth noting that in general, healthcare compliance rules are not especially specific when it comes to how cloud environments need to be configured. After all, rules like those in HIPAA date to the 1990s, long before anyone was thinking about cloud computing. This means that interpreting compliance rules and figuring out how to meet them in the cloud is an exercise that falls to cloud admins and developers in many cases. There is no simple set of configuration rules to follow, or cloud services to implement, to ensure compliance.
Related:5 Best Practices for Developing a Great Healthcare App
That said, there are some clear high-level practices that you should follow to ensure cloud compliance in the context of healthcare.
Zero trust is a security strategy that involves configuring resources such that they never trust each other by default. Zero trust is useful in a variety of contexts, not just those related to healthcare and compliance.
But it's especially valuable as part of a healthcare cloud compliance strategy because it helps to mitigate the risk that sensitive healthcare data will be exposed to the wrong parties. As a best practice for configuring cloud access controls, start with zero trust by default, and grant access only when and where it's specifically necessary.
Healthcare compliance laws like HIPAA are so widely known that it can be easy to assume everyone is familiar with their requirements or can look them up easily enough.
But in reality, as noted above, compliance regulations tend to be quite ambiguous when it comes to the cloud. For that reason, investing in healthcare compliance education and training for engineers responsible for setting up and managing cloud environments is critical. Education should provide not just an understanding of how laws such as HIPAA work at a high level, but also what the organization's interpretation of HIPAA requirements is and how engineers need to apply them in the cloud.
Related:5 Key IT Certifications to Stand Out in the Healthcare Industry
Cloud data loss prevention (DLP) is a type of software that can automatically detect sensitive data inside the cloud. As part of a cloud healthcare compliance strategy, DLP plays a critical role by helping teams find sensitive healthcare data that they may have accidentally stored in a location (such as an unsecured object storage bucket in a cloud service like Amazon S3) that is not compliant with healthcare regulations governing the data.
It's wrong to think of the cloud as inherently less secure or compliant than on-prem infrastructure. When properly configured and monitored, cloud environments are just as safe as on-prem alternatives.
Nonetheless, on-prem environments do provide some controls, such as the ability to air-gap data, that are typically not available in public clouds. These capabilities can be beneficial when dealing with sensitive healthcare data that you are not likely to have to access frequently which may be the case if, for example, a compliance rule requires you to retain archived healthcare records for a set period of time.
There is much to be said about the benefits of multicloud and hybrid cloud architectures. But when it comes to meeting healthcare compliance mandates in the cloud, simpler is often better and the simplest type of cloud architecture is one oriented around a single cloud.
There's no reason why you can't implement a more complex cloud strategy to support healthcare workloads if you want. But if your security and compliance capabilities are limited, consider sticking with a simpler cloud architecture to reduce your risks.
It's certainly possible to take full advantage of the cloud for hosting healthcare applications or data. But you'll need to take extra precautions to ensure healthcare cloud compliance such as making zero trust a priority across your cloud environment, investing in DLP tools to protect sensitive data, and preferring simplicity over complexity to reduce cloud compliance risks.
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5 Best Practices for Achieving Healthcare Cloud Compliance - ITPro Today
Local Generative AI: Shaping the Future of Intelligent Deployment – Unite.AI
2024 is witnessing a remarkable shift in the landscape of generative AI. While cloud-based models like GPT-4 continue to evolve, running powerful generative AI directly on local devices is becoming increasingly viable and attractive. This local execution of generative AI can transform how small businesses, developers, and everyday users benefit from AI. Let's explore the critical aspects of this exciting trend.
Traditionally, generative AI has relied on cloud services for its computational power. Although the cloud has driven significant innovation, it faces several challenges in deploying generative AI applications. Increasing data breaches have heightened concerns about keeping sensitive information secure. Processing data locally with on-device AI minimizes exposure to external servers.
Cloud-based AI also needs help with latency issues, leading to slower responses and a less smooth user experience. On-device AI can significantly reduce latency, providing faster responses and a smoother experience, which is particularly crucial for real-time applications like autonomous vehicles and interactive virtual assistants.
Another critical challenge for cloud-based AI is sustainability. Data centers, the backbone of cloud computing, are notorious for high energy consumption and a substantial carbon footprint. As the world grapples with climate change, reducing technology's environmental impact has become paramount. Local generative AI offers a compelling solution, reducing reliance on energy-intensive data centers and minimizing the need for constant data transfers.
Cost is another significant factor. While cloud services are robust, they can be expensive, especially for continuous or large-scale AI operations. By harnessing the power of local hardware, companies can reduce operational costs, which is particularly beneficial for smaller businesses and startups that may find cloud computing costs prohibitive.
Additionally, continuous dependency on an internet connection is a significant drawback of cloud-based AI. On-device AI eliminates this dependency, allowing uninterrupted functionality even in areas with poor or no internet connectivity. This aspect is particularly advantageous for mobile applications and remote or rural areas where internet access may be unreliable.
We witness a remarkable transformation towards local generative AI as these factors converge. This shift promises enhanced performance, improved privacy, and greater democratization of AI technology, making powerful tools available to a broader audience without the need for constant internet connectivity.
Besides the challenges of cloud-powered generative AI, integrating AI capabilities directly into mobile devices is emerging as a pivotal trend in recent years. Mobile phone manufacturers increasingly invest in dedicated AI chips to enhance performance, efficiency, and user experience. Companies like Apple with its A-series chips, Huawei with its Ascend AI processor, Samsung with its Exynos lineup, and Qualcomm with its Hexagon neural processing units are leading this charge.
Neural Processing Units (NPUs) are emerging as specialized AI processors designed to implement generative AI on mobile devices. These brain-inspired processors handle complex AI tasks efficiently, enabling faster and more accurate data processing directly on mobile devices. Integrated with other processors, including CPU and GPU, into their SoCs (System-on-a-Chip), NPUs efficiently cater to the diverse computational needs of generative AI tasks. This integration allows generative AI models to run more smoothly on the device, enhancing the overall user experience.
The rising integration of generative AI into everyday applications, such as Microsoft Office or Excel, has given rise to AI PCs. Significant advancements in AI-optimized GPUs support this emergence. Initially designed for 3D graphics, graphical processing units (GPUs) have proven remarkably effective at running neural networks for generative AI. As consumer GPUs advance for generative AI workloads, they also become increasingly capable of handling advanced neural networks locally. For instance, the Nvidia RTX 4080 laptop GPU, released in 2023, leverages up to 14 teraflops of power for AI inference. As GPUs become more specialized for ML, local generative AI execution will scale significantly in the coming days.
AI-optimized operating systems support this development by dramatically speeding up the processing of generative AI algorithms while seamlessly integrating these processes into the user's everyday computing experience. Software ecosystems have been evolving to leverage generative AI capabilities, with AI-driven features such as predictive text, voice recognition, and automated decision-making becoming core aspects of the user experience.
The implications of this technological leap are profound for both individual consumers and enterprises. For consumers, the appeal of AI PCs is substantial due to their convenience and enhanced functionality. For enterprises, the potential of AI PCs is even more significant. Licensing AI services for employees can be costly, and legitimate concerns about sharing data with cloud AI platforms exist. AI PCs offer a cost-effective and secure solution to these challenges, allowing businesses to integrate AI capabilities directly into their operations without relying on external services. This integration reduces costs and enhances data security, making AI more accessible and practical for workplace applications.
Generative AI is rapidly transforming industries across the globe. Edge computing brings data processing closer to devices, reducing latency and enhancing real-time decision-making. The synergy between generative AI and edge computing allows autonomous vehicles to interpret complex scenarios instantly and intelligent factories to optimize production lines in real-time. This technology empowers next-generation applications, such as smart mirrors providing personalized fashion advice and drones analyzing crop health in real-time.
According to a report, over 10,000 companies building on the NVIDIA Jetson platform can now leverage generative AI to accelerate industrial digitalization. The applications include defect detection, real-time asset tracking, autonomous planning, human-robot interactions, and more. ABI Research predicts that generative AI will add $10.5 billion in revenue for manufacturing operations worldwide by 2033. These reports underscore the crucial role that local generative AI will increasingly play in driving economic growth and fostering innovation across various sectors shortly.
The convergence of local generative AI, mobile AI, AI PCs, and edge computing marks a pivotal shift in harnessing AI's potential. By moving away from cloud dependency, these advancements promise enhanced performance, improved privacy, and reduced costs for businesses and consumers alike. With applications spanning from mobile devices to AI-driven PCs and edge-enabled industries, this transformation democratizes AI and accelerates innovation across diverse sectors. As these technologies evolve, they will redefine user experiences, streamline operations, and drive significant economic growth globally.
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Local Generative AI: Shaping the Future of Intelligent Deployment - Unite.AI
7 Compelling Cloud Stocks to Buy as the AI Boom Rages On – InvestorPlace
Cloud computing has made it easier and more costeffectivefor companies to store data online. Businesses no longer have to invest in physical servers and storage space to operate smoothly.
Many techgianthave rolled out cloud platforms over the years, and other companies specialize inkeeping those platforms protected. Many cloud computing stocks have delivered exceptional returns over the years, as scalability allows margins to expand rapidly onceitbecomes profitable.
Cloud computing has been hot for several years, but artificial intelligence is adding more fuel to the fire. Artificial intelligence requires significant computing power and data storage capabilities.Cloud platforms helptoenable many AI tools andgive corporations the opportunityto use this innovative technology.
Artificial intelligence is part ofthe reason thatthe cloud computing marketis projectedto maintain acompounded annual growth rate of 16.40% through 2029. These cloud computing stocksare positionedto benefit immensely from AI tailwinds.
Source: Jonathan Weiss / Shutterstock.com
Amazon(NASDAQ:AMZN) is thelargest cloud computing providerin the industry. Amazon Web Services has almost one-third of the market. The company is alsoworking on a ChatGPT alternativeto expand its reach in the AI market.
The tech giantsoverallsales increased by 13% year-over-year to reach $143.3 billion in thefirst quarter. Those sales include Amazons online marketplacewhichhas helped the company expand into numerous industries. Amazon Web Services notably grewat a faster rate 17% year-over-year to reach $25.0 billion.
Amazon stock has been on a tear. Its upby29% year-to-date and has roughly doubled over the past five years. The stock is approaching a $2 trillion market cap and has a 54 P/E ratio. Amazon has several segments that stretch beyond cloud computing. It also offers exposure to groceries, advertising, streaming, gaming and other verticals. Amazonis currently ratedas a Strong Buy with aprojected 18% upsidefrom current levels.
Source: Sundry Photography / Shutterstock.com
ServiceNow(NYSE:NOW) has delivered a 167% gain over the past five years for patient investors.While those returns arequitegood, Wall Street analysts believethat the stock can march higher.The cloud computing companyis currently ratedas aStrong Buy. The average price target indicatesthat thecompany can gain an additional 15% from current levels.
Most of the companys revenue is recurring, which offers a good baseline for rising revenue. ServiceNow exceeded guidance in thefirst quarterby reporting $2.6 billion in revenue. Thats a 24% year-over-year increase. More than $2.5 billion of the companys Q1 revenue was recurring.
ServiceNow enables digital workflows and helps companies become more efficient. Customers have been flocking to the Now Platform and theyre also paying a lot of money.
The company closed eight new transactions with annual contract values above $8 million in the first quarter. It hasmore than 8,100 customersand a 98% renewal rate. Almost 2,000 of the firms customers have annual contract valuesthat aregreater than $1 million.
Source: Koshiro K / Shutterstock.com
Alphabet(NASDAQ:GOOG, NASDAQ:GOOGL) is the third largest cloud platform and has been growingat a faster pacethan Amazon. While AWS reported 17% year-over-year revenue growth, Google Clouds revenue increased by 28.4% year-over-year to reach $9.57 billion.
Thats not the only highlight fromAlphabets first quarter results. Overall revenue increased by 15% year-over-year while net income surged by 57% year-over-year.
Net income growth is a big highlight,since it prompted the tech conglomerate to offer its first quarterly dividend of $0.20 per share. Alphabet reported a 29.4% net profit margin to close out the quarter, and ifcost cuttingmeasures continue, the firm canend up withelevated gains in the future.
Alphabet still trades at a reasonable 28 P/E ratio.Its theonline advertising leader and also one of the leaders incloud computing and artificial intelligence.Wall Street analysts believethat Alphabetshares cangain an additional 9%from current levels.
Source: JHVEPhoto / Shutterstock.com
Oracle(NYSE:ORCL) offers hardware and software products, but its software segment has been the main growth driver. Cloud services and license supportmade up72% of the firms revenue in thefourth quarter of fiscal 2024.This segment increased by 9%year-over-yearwhile Oracles other segments reported slightyear-over-yeardeclines.
Cloud computing is the defining element of Oracles investment thesis.Q4 cloud revenue IaaS and SaaS increased by 20% year-over-year to reach $5.3 billion. Overallrevenue only inched up by 3% year-over-year to reach $14.3 billion.
Artificial intelligence tailwinds should help Oracles cloud platform generatea higher percentage oftotal revenue. This development should result in growth acceleration since the lagging segments wont have as much of an impact.
Oracle shares are up by 36% year-to-date and have gained 138% over the past five years. The stock trades at a 38 P/E ratio and offers a 1.13% yield.
Source: VDB Photos / Shutterstock.com
Microsoft(NASDAQ:MSFT) hasbeen winningWall Street analysts for many years. The stock is currently rated as aStrong Buyand has a projected 11% upside. Long-term momentum has played a role in bullishness. Shares are up by 21% year-to-date and have gained 226% over the past five years.
The tech conglomerate offers exposure to many industries: artificial intelligence, advertising, gaming, business software, social media and others. However, none of those segments are asimportantas Microsoft Cloud.
The companys cloud platform generated $35.1 billion inQ3 FY24revenue, which is a 23% improvement compared to the same quarter last year. Microsoft also reported 17% year-over-year revenue growth across the board and grew its net income by 20%year-over-year.
Microsoft Copilot allows the company to expand into numerous industries and presents a compelling long-term opportunity. Copilot is slowlybeing integratedacross Microsofts software products like LinkedIn and other places.
Copilotalso has a cybersecurity division thatshould increase Microsofts presence in that vertical.Artificial intelligence and cloud computing both present long-term growth opportunities for Microsoft.
Source: T. Schneider / Shutterstock.com
Crowdstrike(NASDAQ:CRWD) makes cloud computing safer with its Falcon Platform. Businesses can detect and address threats before they getseriousand fortify their digital defenses.
Cloud platforms make it easier to store data and access digital files. While this is a boon for many businesses, putting everything on the webalsomakes it a target for hackers.
Cybercriminals attempt to infiltrate databases and access sensitive information about customers, people within the company and corporate assets
As such, the cybersecurity firm generates plenty of revenue.Q1 FY25 revenuecame in at $921.0 million,whichis a33% year-over-year increase.Crowdstrikes $3.65 billioninannual recurring revenue should support additional growth in the upcoming quarters. Net incomecame in at$42.8 million compared to a $0.5 million profit in the same quarter last year.
The stock has comfortably outperformed the market. Crowdstrike shares are up by 55% year-to-date and have gained 470% over the past five years.
Source: shutterstock.com/LCV
IBM(NYSE:IBM) has been reinventing itself for several years. Aftera lot ofhard work, the company now finds itself in the center of cloud computing and artificial intelligence.
Unlike most cloud computing stocks, IBM still has a reasonable valuation. Shares trade at a 19.6 P/E ratio and offer a 3.85% yield. The stock has gained 28% over the past year.
Wall Street analysts have rated the stock as aModerate Buyand are projecting a 6% upside from current levels. The highest price target of $215 per share suggests that IBM can gain an additional 24%.
IBM reported 1%year-over-yearrevenue growth and 69%year-over-year net income growthin thefirst quarter.Rising profit margins make the stock look more attractive, and the firm is alsoin the process ofacquiringHashiCorp (NASDAQ:HCP) for $6.4 billion. This acquisition will expand IBMs hybrid cloud market share and position it to benefit more from AI tailwinds.
On thisdate of publication, Marc Guberti held long positions in AMZN, NOW, GOOG, MSFT and CRWD. The opinions expressed in this article are those of the writer, subject to theInvestorPlace.comPublishing Guidelines.
Marc Guberti is a finance freelance writer at InvestorPlace.com who hosts the Breakthrough Success Podcast. He has contributed to several publications, including the U.S. News & World Report, Benzinga, and Joy Wallet.
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7 Compelling Cloud Stocks to Buy as the AI Boom Rages On - InvestorPlace
Is the Hybrid Cloud the New Normal in 2024? – InformationWeek
In the modern day, cloud computing is no longer considered simply as "the Cloud" due to advancements in public and private clouds and, more recently, the creation of the hybrid cloud. In simple terms, the hybrid cloud combines the private cloud and the public cloud in a single IT infrastructure. If executed successfully, businesses are provided with short-term, cost-effective solutions and increased flexibility based on their specific needs.
Companies will adopt this method of cloud deployment for multiple reasons. However, a recentVanguard reportrevealed that the main drivers behind hybrid cloud migration are improving operation scalability (50%), business innovation (46%), and migrating data across IT workloads (42%). Therefore, along with the rapid technological advancements of data and Artificial Intelligence (AI), the hybrid cloud is poised to play a key role in the future of IT infrastructure.
The cloud has come a long way since its inception, moving away from a simple data storage solution. Its creation began as a result of traditional computing consuming significant amounts of power and physical space. Leading public cloud providers offered a cost-effective solution, allowing users to easily scale up or down based on demand. Meanwhile, due to security concerns and the introduction of data privacy laws, the private cloud emerged as a way for businesses to maintain strict control over their data.
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Is the Hybrid Cloud the New Normal in 2024? - InformationWeek
The 3 Smartest Cloud Computing Stocks to Buy With Your Money Right Now – InvestorPlace
Cloud computing is one of the industries gaining much traction in 2024. Much of this attention stems from more businesses moving away from traditional data centers and servers to cloud services to store data. There is certainly much upside to doing so, such as fewer security vulnerabilities like data breaches and hacks, cost-effectiveness and ease of scale.
The demand for cloud services will only grow as more businesses shift away from physical infrastructure and toward digital infrastructure. Therefore, these cloud computing stocks to buy are a great opportunity to generate massive profits. There have already been some top performers this year, and with more than six months left, there is still time to get in on the action.
If you are interested in cloud computing stocks to buy these three are your best bet.
Source: T. Schneider / Shutterstock.com
Twilio (NYSE:TWLO) is an American cloud-computing infrastructure company that provides API services that enable developers to integrate communication services, such as messaging, voice and video functionality, into their custom applications.
Its market cap is $9.4 billion, and although that might not be impressive compared to other companies in the cloud computing space, the company has shown immense potential lately.
A great example of Twilios potential is its CustomerAI feature, which allows businesses to combine real-time data with AI to understand their customers better. The feature is gaining traction and could become an instant hit shortly.
Furthermore, on the financial front, Twilio is performing exceptionally well. According to its latest quarterly report, its total revenue is up 5% to 10% year-over-year on a reported and organic basis. Non-GAAP income from operations has also risen from $585 million to $635 million, and free cash flow is expected to align with full-year non-GAAP income from operations.
Source: VDB Photos / Shutterstock.com
Microsoft (NASDAQ:MSFT) is an American technology company and software provider best known for creating the Windows operating system. It has a string of other well-known software products, such as the Microsoft 365 suite of productivity applications, the Edge web browser and the Azure cloud computing platform.
Microsofts Azure cloud platform is a giant in the cloud-computing space, with impressive mindshare among users. This has allowed the company to dominate the space, and it is showing no signs of slowing down anytime soon.
A major reason for Microsofts increasing mindshare in the cloud computing space is its productivity offering. All its products are interoperable, allowing users to switch between them easily and work more efficiently.
Microsofts recent quarterly report indicates that the company will not be slowing down anytime soon. According to its earnings release for quarter three of the fiscal year, Microsofts revenue has increased by 17%, while its operating income has increased by 23%. Furthermore, its net income has increased by 20%, and its diluted earnings per share has increased by 20% as well.
When it comes to cloud-computing stocks, Microsoft is simply a must-buy.
Source: Tada Images / Shutterstock.com
Amazon (NASDAQ:AMZN) is an American technology company that specializes in multiple industries, from e-commerce and online advertising to cloud computing, digital streaming and, most recently, artificial intelligence. Its AWS cloud platform is the largest cloud services provider in the world, giving it a first-mover advantage, which has greatly benefited the company.
With the demand for cloud services bound to increase over the next few years, Amazon is a no-brainer investment for any investor looking to profit from cloud computing stocks. AWS plays a significant role in the companys revenue generation and will continue to do so, barring any major upsets in the cloud space.
Moreover, Amazon continues to show progress on the financial front. In its latest quarterly report, the company announced that its net sales increased by 13% to $143.3 billion in the first quarter. Its operating income also increased to $15.3 billion, and its net income increased to $10.4 billion in the same period. Its operating cash flow increased by 82% for the trailing twelve months.
On the date of publication, Joel Lim 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 theInvestorPlace.comPublishing Guidelines.
Joel Lim is a contributor at InvestorPlace.com and a finance content contractor who creates content for several companies like LTSE and Realtor, along with financial publications, including Business Insider, Yahoo Finance, Mises Institution and Foundation for Economic Education.
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The 3 Smartest Cloud Computing Stocks to Buy With Your Money Right Now - InvestorPlace
Cloud Infrastructure Stocks For Those Investing in The Future – InvestorPlace
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Technology is constantly evolving, and each trend has its cycles. Cloud computing gained prominence and popularity at the beginning of the last decade, and this trend reemerged during the Covid-19 pandemic. The moment is approaching when cloud infrastructure stocks will show their multiple growth again.
Reviews by leading investors may mention that further development of artificial intelligence (AI) requires the latest chips. However, these recommendations often overlook the need for adapted high-powered servers that can be provided by cloud market leaders. Further, the infrastructure and relevant data should be kept in reliable and convenient storage. So, cloud solutions come into play, giving individuals, corporations, and government agencies the ability to thrive in the web environment without the hassle of running their servers. Each of the presented stocks has gained 50% or more over the past year and are not ready to rest on its laurels.
In investors minds, Alphabet (NASDAQ:GOOG, NASDAQ:GOOGL) is associated primarily with profits from the advertising business.
Google Search ranks first among the companys successes and accounts for 90% of the market. Search, display, network advertising and YouTube form the basis of the business and provide the company with super-profits. In the first quarter of 2024, Google Search revenue increased by 14.3% year-over-year (YOY), but Alphabet intends to diversify its interests. Google Cloud strengthens the results of the mega-company, as it has added another thousand products and features to the total number. Alphabet is in a state of constant competition with other cloud infrastructure stocks and is improving to withstand the influence of other tech giants.
Alphabet, the third-largest cloud infrastructure platform, is showing positive profitability, encouraging analysts to make optimistic forecasts. The current P/E ratio is close to 28, indicating a low price compared to other tech players. The companys revenue is projected to grow by 11% CAGR through 2026. At the same time, earnings per share (EPS) is expected to grow by 20% on an average annualized basis.
Source: Tada Images / Shutterstock.com
While the general public was looking away at the hype of Nvidia (NASDAQ:NVDA), Amazon (NASDAQ:AMZN) has been climbing step by step to the top of the tech world. The $2 trillion market capitalization is one of its latest achievements, cementing AMZNs position among the top cloud infrastructure stocks.
After a sharp loss of height in 2022, Amazon has shown that it can draw conclusions and catch up with competitors. It made timely staff changes and cut costs in several areas. In October 2023, the price was close to $120, while in the summer of 2024, it reached $197. Such results seem incredible compared to the starting value of 7 cents in 1997, but the stock is ready to surprise investors in the future.
Unlike new names on the market, Amazon has repeatedly proven its adaptability and capacity to thrive in several areas. It is difficult to imagine the modern market of technological solutions without Amazon Web Services (AWS), which steadily holds its position against the competition from Microsoft Azure and Google Cloud. With annual revenues of more than $100 billion, Amazon can conduct researches and be among the first to implement global cloud solutions.
Source: shutterstock.com/LCV
Late 2023 and early 2024 allowed the investment community to see a balanced and innovative company growing. IBM (NYSE:IBM) made a jump in the price per share from $138 to $197, proving the feasibility of diversifying its interests.
The company is generally pursuing a well-thought-out strategy, but several key initiatives have brought it to the top of the tech worlds Olympus. The acquisition of Red Hat for $34 billion in 2019 triggered the growth of the companys hybrid cloud computing capabilities.
IBM recognized the potential of artificial intelligence in time and launched the WatsonX platform. It has become the home of new AI-based solutions and has satisfied a large share of the demand for AI services. With a strong cloud portfolio and backing from tech-focused investors, IBM has set its sights on the field of quantum computing. In collaboration with Fundacin Ikerbasque, the company has entered the forefront of computer science, preparing the ground for unique offerings. Analysts estimates elevate IBM among cloud infrastructure stocks. Despite the current price of about $175.10, Goldman Sachs initiated coverage with a buy rating and a $200 price target.
On the date of publication, Julia Magas did not hold (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.comPublishing Guidelines.
On the date of publication, the responsible editor did not have (either directly or indirectly) any positions in the securities mentioned in this article.
Julia Magas is a writer who covers the latest trends in finance and technology. Her work is published in a number of financial media outlets such as Nasdaq, Cointelegraph, Investing, SeekingAlpha, FXEmpire, and Beincrypto. She primarily covers cryptocurrency and blockchain technology with a focus on market performance, innovations and trends.
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Cloud Infrastructure Stocks For Those Investing in The Future - InvestorPlace
Which Cloud Is Aging Better–AWS or Azure? Liftr reveals Insights into the answer – PR Newswire
Liftr Insights data show where the cloud providers are aging and by how much
AUSTIN, Texas, July 2, 2024 /PRNewswire/ -- Liftr Insights, a pioneer in market intelligence driven by unique data, revealed that while Azure has shown many signs of growth in North America, the truth is dependent on the region.
Liftr tracks data for the six largest cloud providers, which represent over 75% of the public cloud space. Using Liftr data, market intelligence analysts can see where public cloud providers are focusing their investments. For example, Liftr data show that Microsoft Azure has older infrastructure in both the East and West regions when compared to AWS.
In the East, 69% of infrastructure is older than 3 years for both providers; however, for AWS, 19% is added within the past year compared to only 12% for Azure. The differences are starker in the West with AWS having only 64% older than 3 years compared with Azures' 76% and AWS investing over 25% in newer instance types in the West compared to Azures' 7%.
However, unlike AWS, Azure has major regions in the central portion of North America. These Azure regions have more recent investment than AWS has in its regions in the East or West. In its Central regions, Azure offers under 63% of the older instance types and over 26% has been added within the past year.
"A lot of the investment is due to Azure's expansion into newer regions," says Tab Schadt, CEO of Liftr Insights. "But, we like to point out to our clients how looking at the growth within different regions is as interesting as growth within a particular region compared to other providers."
Providers update physical devices on their own cycles, but to continue offering older instance types requires the providers to either maintain or replace the older hardware. So, using objective data on instance types provides insight into the otherwise opaque hardware activity.
Two of Liftr data products, Cloud Components TrackerSM and Intelligence Compute TrackerSM, are used by market intelligence analysts to evaluate the cloud providers, their offerings, the underlying semiconductors, and supporting infrastructure. Liftr customers can use these services to see the above information or drill-down by workload type, vendor, brand, or a multitude of other characteristics.
"We want market intelligence analysts to have access to objective data for their models," says Schadt. "Evaluating the age of regions by cloud provider is just one example of how Liftr provides value."
About Liftr InsightsLiftr Insights generates reliable market intelligence using unique data, including details about configurations, components, deployment geo, and pricing for:
As shown on the Liftr Cloud Regions Map at https://bit.ly/LiftrCloudRegionsMap, among the companies tracked are Amazon Web Services,Microsoft Azure,Alibaba Cloud,Google Cloud, Oracle Cloud,Tencent Cloud, CoreWeave, Lambda, and Vultras well as semiconductor vendors AMD, Ampere,Intel, and NVIDIA. Liftr Insights subject matter experts translate company-specific service provider data into actionable alternative data.
Liftr and the Liftr logo are registered service marks of Liftr Insights. The following are trademarks and/or service marks of Liftr Insights: Liftr Insights, Cloud Components Tracker, Intelligence Compute Tracker, and Liftr Cloud Regions Map.
The following are registered intellectual property marks, trademarks, or service marks of their respective companies:Amazon Web Services Microsoft Azure Alibaba Cloud Google Cloud Oracle CloudTencent CloudCoreWeaveLambdaVultr Intel Corporation Ampere ComputingNVIDIAAMDARM
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Which Cloud Is Aging Better--AWS or Azure? Liftr reveals Insights into the answer - PR Newswire
Cognizant Unveils New Platform to Leverage AI & Generative AI at the Edge – The Fast Mode
Cognizant announced the launch of Cognizant Neuro Edge, a new platform in the Cognizant Neuro suite, designed to empower businesses across industries to leverage artificial intelligence and generative AI at the edge.
Edge computing enables enterprises to access computing power via sensors and devices on their networks, reducing dependency on centralized servers and the cloud. Neuro Edge is designed to power the entire value chain of edge AI, from chips and devices to applications and business solution deployments, shortening the path to business value.
The new platform expands Cognizant's Neuro AI capabilities, offering a hybrid Cloud + Edge AI solution that supports instant decision-making and complements Cloud AI with deeper insights from longitudinal data. The industry agnostic platform offers advantages for industries where data privacy, security, and real-time decision-making are critical.
Neuro Edge facilitates real-time interactions with devices, helping businesses to accelerate decision-making, reduce data costs and privacy risks and maintain operational stability even in low bandwidth scenarios. The platform is cloud agnostic, making it ideal for hybrid-and-multi-cloud environments, with computing power placed directly at the device. Some potential key applications across industries include:
- Healthcare: Assisting doctors in their real-time decision-making by drawing on diagnostic sensors;
- MedTech: Enabling real-time, on device adjustment options and recommendations based on patient data;
- Energy: Optimizing operations in power generation plants; optimizing response to weather events;
- Logistics: Streamlining fleet performance and reducing downtime through in-vehicle data processing;
- Telecommunications: Enhancing network security, resiliency and automation, leading to lower operating costs;
- Manufacturing: Predicting equipment failures to help optimize uptime and operating costs;
- Retail: Enabling intelligent video analysis for real real-time theft prevention and in-store traffic pattern monitoring to enhance customer service;
Transforming driver and passenger experience by enabling real-time, context-aware and private recommendations via cloud connection.
As an example of an application in the automotive industry, Cognizant has been working with Qualcomm Technologies to deploy generative AI at the automotive edge and transform the driving experience.
Neuro Edge integrates APIs with the edge ecosystem, encompassing sensors, silicon vendors, edge devices, and enterprise applications. It offers a foundational architecture and illustrative applications tailored for diverse industrial scenarios. Additionally, it is equipped with monitoring agents that track performance and facilitate ongoing enhancements through feedback loops.
By using Neuro Edge, enterprises will be equipped to create and manage Edge AI applications faster and more easily. The platform helps demystify the intricacies of generative AI, enabling businesses to focus on business value.
Vibha Rustagi, Global Head of IoT and Engineering, Cognizant
Enterprises are increasingly embracing edge computing to enhance the responsiveness of their distributed devices and extract meaningful insights from the data they generate. Cognizant Neuro Edge is a powerful example of Cognizant's leadership in developing a new approach to layering of on-board computing and processing with cloud services, paving the way for businesses to unlock a range of generative AI-driven benefits around operational efficiency, cost and risk reduction.
Nakul Duggal, Group GM, Automotive, Industrial & Embedded IoT and Cloud Computing, Qualcomm Technologies
The automotive industry is going through unprecedented change affecting the entire ecosystem. Our work with Cognizant to extend the Snapdragon Digital Chassis' generative AI capabilities and build a connected services platform creates new opportunities for automakers to develop highly personalized and contextually relevant experiences for both drivers and passengers. We look forward to building new intelligent solutions together that will redefine the in-vehicle experience and drive the future of the automotive industry.
Joel Martin, executive research leader for HFS's technology, media, and telecommunications research at HFS, a leading global research and analysis firm
Implementing AI with edge technologies will be important for firms looking to maximize the impact of their investment in both AI and IoT. I believe Cognizant's Neuro Edge will be an important solution improving functionality, reducing latency, and securing AI at the edge with enterprise-grade capabilities.
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Cognizant Unveils New Platform to Leverage AI & Generative AI at the Edge - The Fast Mode
Cloud High Performance Computing Market Projected to Reach US$ 54.74 Billion by 2029, Exhibiting a CAGR of 19.4 – openPR
The global Cloud High Performance Computing (HPC) market is poised for substantial growth, projected to reach USD 54.74 billion by 2029, with a robust CAGR of 19.4% during the forecast period. This surge is driven by several key factors reshaping the landscape of computational efficiency and scalability across industries.
: https://www.maximizemarketresearch.com/request-sample/14233/
-19 :
The COVID-19 pandemic has significantly influenced the Cloud HPC market, varying in impact across regions and sectors. The pandemic-induced lockdowns underscored the critical need for scalable and flexible computing solutions, accelerating adoption particularly in sectors requiring enhanced remote capabilities.
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The adoption of Cloud HPC is bolstered by the burgeoning demand for managing big data, complex applications, and the flexibility offered by pay-as-you-go models. These factors enable organizations to efficiently scale their computing resources without the upfront infrastructure investments required in traditional on-premise setups.
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Despite its growth trajectory, the market faces challenges such as data security concerns during the transition from on-premise to cloud-based solutions. Moreover, the perceived higher costs associated with cloud adoption compared to traditional methods can restrain market expansion, especially in cost-sensitive industries.
: https://www.maximizemarketresearch.com/request-sample/14233/
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The Cloud HPC market is segmented by service type, deployment model, organization size, industrial verticals, and region. Service types include HPC IaaS, HPC PaaS, data organization and workload management, clustering software, analytics tools, professional services, and managed services. Deployment models encompass public, private, and hybrid clouds, catering to diverse organizational needs for scalability, security, and cost-efficiency.
, HPC IaaS HPC PaaS Data Organization and Workload Management Clustering Software and Analytics Tool Professional Service Managed Service
, Public Cloud Private Cloud Hybrid Cloud
, Small and Medium Businesses Large Enterprises
, Academia and Research Biosciences Design and Engineering Financial Services Government Manufacturing Media, Entertainment and Online Gaming Weather and Environment Others
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North America currently leads the global Cloud HPC market, driven by continuous technological advancements, significant investments in research and development, and a robust demand for flexible computing solutions. Meanwhile, Asia Pacific (APAC) is poised to witness substantial growth, fueled by technological advancements, cost-effectiveness, and increasing industrial productivity.
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Prominent players in the Cloud HPC market are actively engaged in enhancing their service offerings through strategic partnerships, product innovations, and geographic expansions to maintain their competitive edge.
1. IBM Corporation 2. Microsoft Corporation 3. Google 4. Dell 5. Amazon Web Services 6. Penguin Computing 7. Sabalcore Computing 8. Adaptive Computing 9. Gompute 10. Univa Corporation 11. Huawei Technologies Co. Ltd 12. Cray 13. Fujitsu 14. Intel Corporation 15. Hitachi Ltd 16. Advanced Micro Devices, Inc. 17. Hewlett Packard Enterprise Company 18. Cisco Systems, Inc.
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In conclusion, the global Cloud High Performance Computing market presents significant opportunities for growth driven by technological advancements, increasing data complexities, and the imperative for scalable computing solutions. As industries continue to navigate digital transformation, Cloud HPC emerges as a pivotal enabler of innovation and operational efficiency, poised to redefine computational capabilities across diverse sectors globally.
: https://www.maximizemarketresearch.com/market-report/cloud-high-performance-computing-market/14233/
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1. : A brief summary of the Cloud High Performance Computing Market. 2. : The boundaries and focus of the Cloud High Performance Computing Market report. 3. : A comprehensive view of the Cloud High Performance Computing Market environment. 4. : Analysis of the current size of the Cloud High Performance Computing Market. 5. : Breakdown of the Cloud High Performance Computing Market by different types. 6. : Evaluation of competitive pressures in the market. 7. : Insights into the customer demographics and behavior. 8. : Examination of the market across different regions. 9. : Tools and criteria for decision-making in the market. 10. : Key factors driving growth and the challenges faced. 11. : Current trends shaping the Cloud High Performance Computing Market. 12. : Overview of the key vendors in the Cloud High Performance Computing Market. 13. : Detailed analysis of major vendors.
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What are Cloud High Performance Computing Derivatives? What is the current growth rate of the Cloud High Performance Computing Market? Who are the key players in the Cloud High Performance Computing Market? What are the factors affecting growth in the Cloud High Performance Computing Market? Who held the largest market share in the Cloud High Performance Computing Market? What is the demand pattern for the Cloud High Performance Computing Market? What are the key trends in Cloud High Performance Computing Market? What are the strategies used by competitors in the Cloud High Performance Computing Market? What are the growth prospects in developing countries for the Cloud High Performance Computing Market? Which segment is expected to witness the fastest growth and why in the Cloud High Performance Computing Market?
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Past Market Size and Competitive Landscape (2019 to 2022) Past Pricing and price curve by region (2019 to 2023) Market Size, Share, Size & Forecast by Different Segment | 2023-2030 Market Dynamics - Growth Drivers, Restraints, Opportunities, and Key Trends by Region Market Segmentation - A detailed analysis by product, end-user, distribution channel, and region Competitive Landscape - Profiles of selected key players by region in a strategic perspective o Competitive landscape - Market Leaders, Market Followers, Regional player o Competitive benchmarking of key players by region PESTLE Analysis PORTER's analysis Value chain and supply chain analysis Legal Aspects of business by region Lucrative business opportunities with SWOT analysis Recommendations
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Cloud High Performance Computing Market Projected to Reach US$ 54.74 Billion by 2029, Exhibiting a CAGR of 19.4 - openPR
Youth Empowerment Section Commences 4th Batch of Amazon Web Service Re/Start Cloud Computing Skill Training – Central Tibetan Administration
The 4th Batch of the Amazon Web Service Re/Start Cloud Computing program.
Bangalore: The Youth Empowerment Support section of the Home Department, CTA, in collaboration with Natio Cultus Consultancy LLP (a part of Indonesia-based Orbit Future Academy), commenced the 4th Batch of the Amazon Web Service Re/Start Cloud Computing program on 1 July 2024, at Dalai Lama Institute for Higher Education (DLIHE) in Bengaluru.
The opening event was graced by the presence of the Chief Guest, Dr Tenzin Passang, Principal of DLIHE, along with Aparna Singh, Program Director of Orbit Future Academy; Shefali, AWS Instructor; and Sonam Tashi, Project Officer of the YES Section. This year, 11 young Tibetans participated in the AWS program.
-Report filed by Department of Home, CTA
Inauguration of AWS Cloud Computing Skills Training 4th Batch.
Dr Tenzin Passang, Principal of DLIHE presenting the Mrs Aparna Singh, Program Director of Orbit Future Academy.
Dr Tenzin Passang, Principal of DLIHE speaking.
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Youth Empowerment Section Commences 4th Batch of Amazon Web Service Re/Start Cloud Computing Skill Training - Central Tibetan Administration