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IBM and American Tower partner on cloud to Edge solution – DatacenterDynamics

IBM and American Tower are partnering on a hybrid, multi-cloud computing platform at the Edge.

The collaboration will make IBM Hybrid Cloud capabilities and Red Hat OpenShift accessible in the American Tower Access Edge Data Center ecosystem. It will give clients access to Edge technologies, IoT, 5G, AI, and network automation.

American Tower has a portfolio of around 226,000 wireless and broadcast towers, rooftops, and in-building systems globally, as well as a collection of US-based data centers after acquiring CoreSite in 2021.

The company will be deploying IBM's hybrid cloud platform and systems at American Tower's distributed real estate locations, creating an "Edge cloud," and will also be able to deploy these on-premise for customers.

The two companies will provide all the necessary infrastructure for enterprises looking to utilize offerings such as AI and 5G networks.

In a statement, IBM said: As a result of this collaboration, we aim to give enterprises more flexibility to deploy applications on public clouds, at the Edge, or on-premises.

This can help to securely process and quickly analyze data closer to the point where it is created.Among those sectors likely to benefit, the automation industry is noted.

American Towers-owned CoreSite has eight data centers in Silicon Valley, three in Los Angeles, five in Virginia and DC, two each in Chicago, Denver, Miami, New York, and Atlanta, and one each in Boston and Orlando.

The company noted in its 2022 earnings calls that it had identified up to 1,000 potential locations for 1MW Edge sites. The company filed to develop an Edge data center in San Antonio, Texas, in July 2023.

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How green cloud computing works to minimize your carbon footprint – Hey SoCal. Change is our intention.

By Steven Price

We live in an age where environmental consciousness has met the relentless pace of technological advancement. The emergence of green cloud computing stands as a beacon of hope for a sustainable future. Thisinnovative approach to cloud technologynot only empowers businesses but also plays a pivotal role in mitigating the environmental impact of technology.

Cloud computing has undergone a remarkable evolution over the years, driven by the growing need for sustainable technology solutions. Lets delve deeper into its journey and why it has gained widespread adoption:

One of the cornerstones of cloud computing is its focus on energy efficiency. Green cloud providers have made substantial strides in optimizing data centers to minimize energy consumption.

Through advanced cooling techniques, hardware innovations, and data center design improvements, these providers have significantly reduced the carbon footprint associated with data center operations.

Many leading cloud providers have committed to using renewable energy sources topower their data centers. Investments in solar, wind, and hydropower have become increasingly common, reducing the reliance on fossil fuels and helping to transition towards a more sustainable energy landscape.

Green cloud providers continuously optimize their data center resources. Through server virtualization, consolidation, and load balancing, they ensure that computing resources are utilized efficiently, reducing both energy consumption and operational costs.

This commitment to resource optimization ensures progressive ethical growth in areas that were previously detrimental.

The adoption of cloud computingoffers a multitude of ethical advantages that resonate with businesses, individuals, and society at large:

By choosing cloud computing, businesses can significantly reduce their carbon emissions. This ethical choice aligns with global efforts to combat climate change and protect the environment for future generations. It reflects a commitment to responsible business practices and corporate social responsibility which can aid you well when picking up new leads.

Green cloud providers prioritize sustainable energy consumption, minimizing the carbon footprint associated with IT operations. This approach contributes to a more sustainable future by reducing the strain on global energy resources.

Traditional on-premise IT infrastructure often leads to electronic waste when hardware becomes obsolete. Out with the old, in with the new doesnt have to be tangiblegreen cloud computing reduces the need for on-site hardware, thereby minimizing electronic waste and its associated environmental impact.

In turn, this aligns with responsible waste management practices and contributes to a circular economy.

Embracing green cloud computing showcases a companys commitment to sustainability. It enhances an organizations reputation, making it more attractive to environmentally conscious customers, partners, and investors. It can also open doors to partnerships and collaborations with like-minded businesses and initiatives.

Cloud computing not only benefits the environment but also delivers cost savings for businesses. Optimizing resource usage and reducing energy consumption aligns with the ethical principle of responsible resource management. This cost-efficiency allows businesses to redirect resources toward innovation and growth.

For businesses seeking to embrace the ethical benefits of green cloud computing and make a positive impact on the environment, Tech Rockstars is your trusted partner. Teck Rockstars specializes in providing sustainable cloud solutions that align with your environmental goals while enhancing efficiency, reliability, and cost-effectiveness.Contact Tech Rockstars todayto explore how cloud computing can not only minimize your carbon footprint but also drive sustainable growth and innovation for your organization.

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IBM Is in the Midst of a Cloud Renaissance, Unlocking Secular Growth – Yahoo Finance

International Business Machines Corp. (NYSE:IBM) is in the midst of a secular revolution. The company headquartered in Armonk, New York, which is commonly called IBM, had a change in its chief executive officer in the middle of the pandemic lockdowns in April 2020, and the change in leadership seems to have paid off.

The technology giant, known for its dividend yield rather than capital appreciation, delivered 15.5% in 2023, outperforming the Dow Jones Index by almost two percentage points. Add in its juicy 4.1% annualized dividend yield, which brings total gains in 2023 to 19.6%, and there are compelling reasons to invest in the company.

Through my research, I illustrate how business fundamentals, cash flows and margins have started to look much better.

2023 was a year that most economists and market strategists got wrong. According to Bloomberg, while some economists baked in too much pessimism in the economy, market strategists issued calls for 2023 to be bleak. As the economic slowdown narratives faded with blowout U.S. gross domestic product estimates consistently surprising on the upside, according to Fortune, markets eventually became optimistic and the S&P 500 index notched a 24.7% gain in 2023. The Dow Jones Index underperformed at 13%, but IBM recorded almost 20% gains this year, taking into account its 15.5% stock performance and the 4.1% annualized yield.

While still impressive, many would view IBM as having underperformed the S&P 500 Index last year. However, when looking at larger historical performances and accounting for the severe volatility all investors were subject to in 2022, IBM has actually been outperforming the benchmark index. Its incredible performance is illustrated in the chart below.

IBM Is in the Midst of a Cloud Renaissance, Unlocking Secular Growth

This feat is something that would not have been deemed possible given how severely IBM underperformed between 2012 and 2020.

Story continues

While IBM is a popular pick among investors, especially value-focused investors hunting for yield, I will not go too deep into the history of the company. But I will point out that it had trouble retaining its client base, especially in the last decade, as it missed out on the cloud computing era of software development and distribution. With the rise of cloud computing, IBM severely lost market share to cloud hyperscalers such as Amazon (NASDAQ:AMZN), Microsoft (NASDAQ:MSFT) and Alphabet's (NASDAQ:GOOG) Google.

Realizing it missed out on the opportunity, IBM acquired Red Hat, the maker of open-source cloud software products meant for enterprises to build software applications in the cloud, in 2019. This acquisition became pivotal to the technology giant fully pivoting into its cloud business. Later, IBM's new CEO, Arvind Krishna, offered a glimpse of his vision in an open letter in late 2021, where he outlined the key strategies for his vision to take IBM forward. At the center of his vision was to revamp IBM's entire product portfolio around the hybrid cloud and artificial intelligence.

Today, IBM calls itself a hybrid cloud company that helps enterprises build and scale AI, automation and hybrid-cloud-based solutions. As per its latest earnings report, the company makes most of its revenue from its Software and Consulting business verticals. While Software accounts for around 42% of sales, Consulting rakes in about 30% of the company's revenue. Since Software is the highest-margin business segment within IBM, I usually look for upward trends in this segment. Moreover, with Red Hat, Automation and AI part of the Hybrid Cloud subsegment, I want to see continued growth in the Software segment.

The most interesting part about IBM's reversal in business fortunes is that strength has started to return to its core Software segment. The Software segment is not only important to its overall growth narrative, but it also allows the company to leverage its position in the cloud computing space, which is still largely controlled by cloud hyperscalers. Within the Software segment, IBM's Hybrid Cloud business is critical. As can be seen in the chart below, this segment has started delivering consistent accretive growth to IBM's top and bottom lines.

IBM Is in the Midst of a Cloud Renaissance, Unlocking Secular Growth

In the third quarter of 2023, Red Hat and Automation led the year-over-year growth in Hybrid Cloud's 8% growth, with Red Hat up 9% and the Automation segment up 14%. For a company that was expected to grow in the low single digits for a good part of the last two decades, near double-digit growth is quite a welcome change. Typically, its software business is 80% subscription-based, while the remaining 20% is consumption-based. IBM's chief financial officer, James J. Kavanaugh, recently discussed the strength of its Subscriptions software business:

"If I extract out that 20% portfolio of consumption-based services and just look at the core subscription-based businesses of Red Hat, OpenShift and Ansible, we grew 19% overall. 110%-plus NRR on that renewal rate of that business. And within that 19%, OpenShift and Ansible were north of 40%. So, putting all that together, Software is at the high end of our segment model; we're only building in high single digits growth."

Finally, growth in the software segment is critical for IBM because this is a high-margin business, helping IBM book approximately 80% of revenue from this segment as gross profits. In a later section, I will unpack why this is important from a valuation standpoint.

I previously mentioned IBM's Consulting business has started to scale its contributions to the top line in a very meaningful way. What is more interesting to me is that as I looked back over the past two years of available quarterly filings and compared IBM's Consulting business with its closest rival in the space, Accenture (NYSE:ACN), I noticed that IBM's Consulting business has been delivering steady and respectable contributions to its top line. Even better, the company appears to be gaining ground in market share versus Accenture, as can be seen in the chart below.

IBM Is in the Midst of a Cloud Renaissance, Unlocking Secular Growth

A peek under the hood reveals a clearer picture as to why IBM has been able to deliver such consistent gains even as enterprises around the world have been cutting their budgets for consulting projects. At the core of the Consulting business is the Application Operations and Management Consulting segment, which is directly tied to IBM's aspirations to scale capabilities for its clients in the hybrid cloud. As can be seen, Application Operations along with business transformation have formed the bedrock of IBM's consistency on a year-over-year basis in its consulting business.

IBM Is in the Midst of a Cloud Renaissance, Unlocking Secular Growth

On the third-quarter earnings call with analysts, the CFO alluded to the strength in IBM's Consulting Business by adding that most of the growth was because it opened IBM's technology to strategic partnerships, particularly with the cloud hyperscalers. I believe this may have been one of the key reasons why IBM continued to reap benefits from greater cloud ecosystem velocity due to the partnerships. The continued growth in IBM's Consulting business gives me further hope that IBM will be able to achieve its target of 6% to 8% growth this year.

Per its most recent quarterly earnings, IBM's revenue was $14.8 billion, up 4.5% year over year. As I had talked about earlier in the post, the growth in earnings was driven by its Software segment and its Consulting business segment, which grew 7.8% and 5.6% year over year. While Software contributes 42% to IBM's top line, Consulting adds another 33%.

I mentioned earlier that the performance of IBM's Software business is crucial to the overall growth of the company; not just because it focuses on the hybrid cloud, but also because this is a high-margin business segment with 79.5% of its software business revenue being recognized as gross profit. Software's gross margins saw a nice bump up by 0.5% on a year-over-year basis. In addition, IBM's Consulting business saw a meaningful increase in its gross margins by 1.4% to 27.4%, thus lifting its overall gross margins by 1.7% to 54.4%. The incremental gains in gross margins also helped increase the non-GAAP operating margin by 1.7% to 15.6%.

In terms of free cash flow, its free cash grew by $1 billion to $5.1 billion, aided by strong growth in its operating cash flow, up $3 billion to $9.5 billion.

IBM projects its fiscal 2023 revenue will grow between 6% and 8%, while its non-GAAP earnings per sharewill decline by 5%. In fiscal 2024, consensus estimates project IBM to grow its revenue by 2.9%, with earnings per share rising by 4.4%. Assuming a 4.4% growth in earnings, this would mean IBM is trading at 17.8 times its forward earnings. Given the market estimates the S&P500 to trade at around 20 times its forward earnings, as per FactSet, this would give IBM at least 12% upside.

A major risk to IBM's positive outlook would be if enterprise spend were to suddenly fall, causing many enterprise clients to renegotiate their deals and push out their budget plans into subsequent periods. I use the word "suddenly because, so far,enterprise IT spend is expected to grow 8% into 2024, per Gartner. This is a strong projection, and these forecasts actually bode well for the revenue outlook of IBM into 2024. However, due to unforeseen circumstances, if there is a recession or even a soft landing, as Bank of America predicts, IBM's management may be forced to re-evaluate their forecasts lower for 2024.

A strong dollar could be another factor that could hurt the optimistic outlook for IBM. A majority of the company's consulting and software revenue comes from outside the U.S. If the dollar were to get stronger, it would dent the outlook for IBM to continue its growth into 2024. For example, one of the reasons that could push the dollar higher could be a reorientation by the Federal Reserve toward pushing interest rates higher.

Despite these risks, I still believe IBM would provide even greater opportunities to initiate or add to positions were we to see any downturn in the stock.

With the turnaround at IBM well underway, I believe this company has some great tailwinds that position the stock for upside. The accretive strength of its consulting and software businesses, with a renewed focus on hybrid cloud and AI technologies, has provided some opportunities for meaningful upside.

This article first appeared on GuruFocus.

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Can Serverless GPUs Meet the Computing Demands of Artificial Intelligence? – BizTech Magazine

Serverless GPUs Deliver Value at Lower Cost

Serverless technology, often seen as the ultimate incarnation of cloud computing, allows developers to create and run applications in the cloud without provisioning or managing servers or back-end infrastructure.

With serverless GPUs, companies can get the benefits of GPUs while also optimizing for costs and incorporating the scalability of cloud infrastructure to spin capacity up or down as demand requires, Greden says. That is ideal for AI applications that require massive amounts of computing power but arent necessarily being run constantly.

What we now have is a case where the aperture is opening for the market that will want to make use of GPUs, and not just those doing heavy graphical type of computing, she says.

LEARN MORE: How can you use serverless computing to build and modernize applications for scale?

Serverless GPUs essentially operate as a PaaS or even a Function as a Service, allowing organizations to access serverless computing capacity for their applications while avoiding provisioning infrastructure, says Brijesh Kumar, a senior research analyst within IDCs cloud application deployment platforms research practice.

They are ideal for when organizations cannot always predict the traffic load they will have for their cloud computing capacity, he says. The technology can allow them to spin up GPU capacity when requests come in and demand is high, then scale down to zero when requests stop.

The technology also supports multitenancy or multi-instance capabilities, allowing cloud providers to partition serverless GPUs to support multiple workload requests from different users or sources, Kumar notes. Serverless GPUs also reduce costs by removing the need to manage the necessary infrastructure, Kumar says.

WATCH: Discover how DevOps can add speed and efficiency to your process.

However, there are some potential drawbacks to serverless GPUs. Cost can become a constraint, since running a serverless GPU for an extended period of time will rack up charges with an organizations cloud provider. An unexpected spike in requests can also raise costs. And, Greden says, organizations risk being locked in to using a particular cloud provider for serverless GPU capabilities.

Even so, serverless GPUs can quickly deliver answers to users of generative AI applications because of the speed with which they can perform the required computations. And with market demand for GPU chipsets still extremely high, using serverless GPUs could be a critical backstop while silicon providers rush to produce as many GPUs as they can, Greden says.

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Infrastructure as a Service (IaaS) Market to Grow at CAGR of 26% through 2032 – Growing Need to Optimize Business … – Yahoo Finance

The Brainy Insights

The global infrastructure as a service (IaaS) market size is anticipated to grow from USD 80 billion to USD 806.85 billion in 10 years. The market will experience rapid growth due to integrating artificial intelligence with IaaS during the forecast period.

Newark, Jan. 08, 2024 (GLOBE NEWSWIRE) -- The Brainy Insights estimates that the USD 80 billion in 2022 globalinfrastructure as a service (IaaS) market will reach USD 806.85 billion in 2032. Infrastructure as a service (IaaS) refers to outside parties providing cloud services to companies. If they use AIaaS, customers or enterprises can eliminate the requirement to run an on-site data centre. A cloud computing service called Infrastructure as a Service (IaaS) gives users access to networking, storage, and processing power when and when needed. It provides enterprises with several advantages. IaaS is highly scalable and adaptable, requiring no significant infrastructure improvements or large upfront expenditures. IaaS makes cloud computing services more accessible to small and medium-sized enterprises due to its low cost. Operations are automated, increasing efficiency and production. Other advantages of IaaS include location independence, data security, and remote accessibility. IaaS provides development, testing, recovery, backup, and storage.

Request market scope and parent market analysis sample PDF: https://www.thebrainyinsights.com/enquiry/sample-request/13916

Key Insight of the Global Infrastructure as a Service (IaaS) Market

North America will dominate the market during the forecast period.

The region is home to the headquarters of major IaaS providers, which propels innovation in the industry. Due to the region's established IT and telecom sector and the readily available resources, new technology is adopted faster in the region.

In 2022, the hybrid segment dominated the market with the largest market share of 42% and market revenue of 33.60 billion.

The deployment type segment is divided into public, private and hybrid. In 2022, the hybrid segment dominated the market with the largest market share of 42% and market revenue of 33.60 billion.

Story continues

In 2022, the computing segment dominated the market with the largest market share of 37% and market revenue of 29.60 billion.

The service segment is divided into computing, storage, networking and others. In 2022, the computing segment dominated the market with the largest market share of 37% and market revenue of 29.60 billion.

In 2022, the IT and telecom segment dominated the market with the largest market share of 27% and market revenue of 21.60 billion.

The industry segment is divided into BFSI, healthcare, manufacturing, retail and e-commerce, education, IT and telecom and others. In 2022, the IT and telecom segment dominated the market with the largest market share of 27% and market revenue of 21.60 billion.

Advancement in market

The market-leading cloud services platform from HPE, the HPE GreenLake edge-to-cloud platform, was chosen by Fastweb, one of the top telecom operators in Italy, to modernize its Fastcloud Business Unit and boost agility by accelerating the rollout of new services. The new platform improves operations, security, and governance with better utilization and cost visibility. Three million users use Fastweb's mobile network, while 3.1 million use its fixed network. Its commercial unit, Fastcloud, offers government agencies and businesses cloud solutions, including software as a service (SaaS) and infrastructure as a service (IaaS).

Market Dynamics

Driver: The increasing demand for business process optimization.

Due to the growing competition, businesses are being forced to examine their operations and make changes. Automation and digitization across industries have allowed maximisers to completely change their operations by digitizating monotonous jobs and repetitive processes to maximize resources and boost revenue. Given the modern digital environment in which producers and consumers live, IaaS services have played a critical role in bringing about this shift. Flexibility, scalability, cost-effectiveness, rapid upgrades, downtime, security, and dependability have all been provided by IaaS. Therefore, IaaS adoption will rise and contribute to its global expansion due to the increasing requirement to optimise corporate processes to survive market competition and enhance customer happiness and retention.

Restraints: Threats and hazards to cyber-security have increased.

Given that IaaS provides networking and computing services, Threats and cyber-security hazards have increased. Because thousands of people use the internet to access computing, networking, and storage services provided by IaaS, there is an increased danger of cyberattacks. Businesses risk collapsing due to data breaches, thefts, and other hacking incidents. Other consequences include lost time, money, and client confidence. There may occasionally be some danger involved in using third-party IaaS services. As a result, worries about data privacy and other security issues will impede the market's expansion.

Opportunities: The combination of large data and AI.

The development of AI, IoT, and big data technologies has given market participants new options. When these technologies are combined with IaaS, automating tasks, increasing productivity, decreasing redundancy, saving money, and gaining new insights previously unattainable with outdated computing algorithms will be feasible. These would create new business channels and chances for enterprises, propelling market expansion over the projection time.

Challenges: the regulations governing the use of IaaS.

The IaaS providers are responsible for the data they store or share. A set of rules and regulations by relevant authorities governs them. These regulations might be different for each country. However, the virtual nature of IaaS makes it difficult for the provider to standardize their checks and balances to incorporate each country's guidelines. Therefore, the regulations governing IaaS will challenge the market's growth.

Get additional highlights on the growth strategies adopted by vendors and their product offerings: https://www.thebrainyinsights.com/enquiry/request-customization/13916

Some of the major players operating in the global infrastructure as a service (IaaS) market are:

Alibaba Group Holding Limited Amazon Web Services, Inc. Dell EMC Google LLC Hewlett Packard Enterprise Development LP International Business Machines Corporation Microsoft Corporation Oracle Corporation Rackspace Hosting, Inc. Redcentric Plc

Key Segments covered in the market:

By Deployment Type

Public Private Hybrid

By Service

Computing Networking Storage Others

By Industry

BFSI Healthcare Manufacturing Retail and E-Commerce Education IT and Telecom Others

By Region

North America (U.S., Canada, Mexico) Europe (Germany, France, the UK, Italy, Spain, Rest of Europe) Asia-Pacific (China, Japan, India, Rest of APAC) South America (Brazil and the Rest of South America) The Middle East and Africa (UAE, South Africa, Rest of MEA)

Interested in Procure Data? Visit: https://www.thebrainyinsights.com/buy-now/13916/single

About the report:

The market is analysed based on value (USD Billion). All the segments have been analyzed on a worldwide, regional, and country basis. The study includes the analysis of more than 30 countries for each part. The report analyses driving factors, opportunities, restraints, and challenges to gain critical market insight. The study includes Porter's five forces model, attractiveness analysis, Product analysis, supply and demand analysis, competitor position grid analysis, distribution, and marketing channels analysis.

About The Brainy Insights:

The Brainy Insights is a market research company, aimed at providing actionable insights through data analytics to companies to improve their business acumen. We have a robust forecasting and estimation model to meet the clients' objectives of high-quality output within a short span of time. We provide both customized (clients' specific) and syndicate reports. Our repository of syndicate reports is diverse across all the categories and sub-categories across domains. Our customized solutions are tailored to meet the clients' requirement whether they are looking to expand or planning to launch a new product in the global market.

Contact Us

Avinash DHead of Business DevelopmentPhone: +1-315-215-1633Email: sales@thebrainyinsights.comWeb: http://www.thebrainyinsights.com

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As governments hop onto cloud does it help solve data problems? – The Financial Express

Government on cloud

In 2024, Indias spending on public cloud services might reach $13.6 billion, an increase from 2020s $4.2 billion, as per insights from Statista, a market research platform. Reportedly, the leading public cloud service was the cloud application infrastructure services, with about over $4.8 billion in end-user spending in 2024. By 2025, newly created data is expected to be 175 zettabytes, a 146-fold increase in the 15 years between 2010 and 2025. The data processing and storage market is estimated to grow from $56 billion in 2020 to $90 billion by 2025, as per insights from IDC, a market research platform.

From what it is understood cloud service providers host their information technology (IT) infrastructure in data centres to provide cloud computing services to the end users. For instance, the National Informatics Centre (NIC) introduced state-of-the-art National Data Centres at NIC headquarters in Delhi, Pune, Hyderabad and Bhubaneswar and 37 small data centres at various state capitals to provide services to the government at all levels. The National Data Centres form the core of the e-governance infrastructure in India by providing services to various e-governance initiatives undertaken by the Government of India.

Boon or Bane

Governments had implemented private cloud at twice the rate of public cloud through 2021, as per insights from Gartner, a market research firm. Case in point, Federal Bureau of Investigations (FBIs) Counterterrorism Division moved its data centres to a cloud provider, it measured success in terms of how the cloud helped agents achieve their mission. By making tasks such as information sharing, data entry, and security of information easier, the transition to the cloud resulted in a 98% reduction in time spent on manual work, as per Fedscoop.

Critics argue that while public cloud growth can be healthy in government, concerns around faster adoption still stand questionable. The top three objections to public cloud in government are security or privacy issues, lack of features and concerns about vendor lock-in, among others. Reportedly, the complexity of cloud environments presents an attack surface for hackers. This includes various applications, that can lead to misconfigurations and vulnerabilities, which have made it almost too easy for a hacker to avoid detection. In 2023, about 50% of the attacks focused on defence evasion, as per insights from Aqua Nautilus 2023 Threat Report. There needs to be a balance for a successful cloud transition, advocating for a strategic approach that integrates cyber-security measures and clear governance protocol, Pallav Agarwal, founder, HTS Solutions Private Limited, a cloud computing services provider, explained, adding that policymakers also plays a role in harnessing the benefits of cloud technology while managing associated risks in the governmental context.

Above the cloud

Adopting cloud-based government can be a paradigm change that sits at the nexus of innovation and governance. However, determining whether the cloud is a benefit or a curse for the public sector becomes crucial. Ensuring the secure storage of private data on government cloud is a multifaceted consideration. The potential drawbacks involve concerns about data security and privacy, particularly when dealing with sensitive information such as identity-related data. The principles of zero trust architecture, cyber resilience, data resilience, continuous monitoring and verifying, apply aptly to cloud security, Sunil Gupta, co-founder and CEO, Yotta, a cloud infrastructure service provider, explained, adding that solutions such as artificial intelligence (AI), automation, big data powered tools and frameworks, among others are crucial in averting evolving risks.

As per several reports, the government of India developed Meghraj, a public cloud platform designed to harness the advantages of cloud computing and serve as a foundation for artificial intelligence (AI) models. It also launched Digilocker, a cloud storage platform, facilitating the storage, retrieval, and secure transfer of sensitive data and individual documents. It is believed that the governments cloud servers and their access points remain open to multiple users, both nationally and internationally, making it vulnerable to breaches. Furthermore, these servers are also targeted by hackers seeking to undermine public trust in the government and its institutions.While government-appointed engineers and consultants implement state-of-the-art technological measures and develop protocols for enhanced protection, there is a need for training and awareness programs. These initiatives need to emphasise the importance of data security, the potential threat of reputational, financial, and legal damages, and proper post-incident protocols, Arpit Sharma, senior manager, technology research and advisory, Aranca, a research, analytics, and advisory firm, concluded.

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The Best Artificial Intelligence (AI) Growth Stock to Buy, According to Several Wall Street Analysts — No, It’s Not Nvidia – The Motley Fool

Bloomberg expects the generative artificial intelligence (AI) market to compound at 42% annually to reach $1.3 trillion by 2032. Investors might assume Nvidia is best positioned to benefit given its leadership in machine learning processors. But some Wall Street analysts see Microsoft (MSFT 1.86%) as the bigger winner because it can monetize AI across a broader range of infrastructure and software products.

Indeed, CFRA analyst Angelo Zino recently wrote that Microsoft is "best positioned to monetize generative AI given its ample offerings and pricing power." He listed cloud services, software copilots, and OpenAI large language models (LLMs) as key AI revenue streams in the future.

Likewise, Morgan Stanley analyst Keith Weiss believes Microsoft is "best positioned in software to monetize GenAI across infrastructure and apps." And Oppenheimer analyst Timothy Horan recently noted that "Microsoft stands alone by having the best AI infrastructure and LLMs."

Here's what investors should know.

Microsoft has a strong presence in several enterprise software categories. Most notably, Microsoft Teams is the leading unified communications platform, Microsoft Dynamics is the leading enterprise resource planning platform, and Microsoft 365 is the leading office productivity suite.

That list is by no means exhaustive. For instance, Microsoft Power BI holds the top spot in business intelligence software, and industry analysts have recognized the company as a leader in several cybersecurity software verticals, including corporate endpoint security. But the upshot is that Microsoft has a massive customer base.

In fact, the company accounts for more than 16% of all software-as-a-service (SaaS) revenue, nearly twice as much as its closest competitor Salesforce. That supports the idea of Microsoft being the software company best positioned to monetize AI, and the company is leaning into that opportunity with new copilot products.

Microsoft 365 Copilot is a generative AI assistant that automates workflows across its office productivity applications. It can draft and rewrite text in Word, create content and presentations in PowerPoint, organize and analyze data in Excel, and summarize conversations in Teams. Microsoft 365 Copilot became generally available in November.

Microsoft has taken a similar tack with its other software products. For instance, Dynamics 365 Copilot automates workflows across sales, marketing, customer service, and supply chain management. Likewise, Security Copilot automates workflows across various cybersecurity software products.

Those generative AI assistants should ultimately help Microsoft better monetize its market-leading enterprise software.

Microsoft is also well positioned to monetize AI with its cloud computing platform. Azure captured 23% market share in cloud infrastructure and platform services in the third quarter, second only to Amazon Web Services. But Azure has steadily gained share over the past five years because of strength in AI infrastructure and developer services.

In fact, CEO Satya Nadella says Azure has the "best AI infrastructure for both training and inference." He also believes Microsoft's exclusive partnership with OpenAI has positioned the company as the market leader in cloud-based AI services.

Per that partnership, Microsoft is the exclusive cloud provider for all OpenAI workloads, meaning the company earns revenue from ChatGPT because the application runs on Azure infrastructure. Microsoft is also the only cloud provider that offers access to OpenAI machine learning models. Businesses can use those models, including the GPT models that power ChatGPT, to build custom generative AI applications.

That could certainly draw customers to Azure in the future, possibly helping Microsoft gain more ground on Amazon. In any case, JPMorgan Chase analysts have opined that "Microsoft's investment into OpenAI, which started years ago, could potentially prove to be some of the best money ever spent."

To summarize the key points, Microsoft has a strong presence in enterprise software and cloud computing, and the company is levering AI to improve its products and create new revenue streams across both business segments.

With that in mind, enterprise SaaS spending is forecasted to increase at 13.7% annually through 2030, while cloud spending is projected to increase at 14.1% annually during the same period. That gives Microsoft a good shot at low-double-digit revenue growth through the end of the decade, which should translate into similar earnings growth.

Indeed, the Wall Street consensus calls for annual earnings-per-share growth of 14.6% over the next three to five years. That forecast makes its current valuation of 35.6 times earnings seems tolerable, despite being a premium to the three-year average of 32.2 times earnings. Patient investors should consider buying a small position in this stock today.

As a caveat, while some analysts have intimated that Microsoft is the best AI stock, it would be foolish for investors to put all their chips on one company. Building a basket of AI stocks is a more prudent strategy. I believe Microsoft has a place in such a basket, but given its market capitalization of $2.7 trillion, other AI stocks (smaller companies) probably have more upside.

JPMorgan Chase is an advertising partner of The Ascent, a Motley Fool company. John Mackey, former CEO of Whole Foods Market, an Amazon subsidiary, is a member of The Motley Fools board of directors. Trevor Jennewine has positions in Amazon and Nvidia. The Motley Fool has positions in and recommends Amazon, JPMorgan Chase, Microsoft, Nvidia, and Salesforce. The Motley Fool has a disclosure policy.

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Taiwan Targets Domestic Quantum Computer Production by 2027 – Quantum Computing Report

Taiwans National Science and Technology Council (NSTC) has announced its objective to domestically manufacture a quantum computer by 2027, marking a pivotal advancement in computational power, according to NSTCs Department of Natural Sciences and Sustainable Development Head, Luo Meng-fan. Collaborating with the Ministry of Economic Affairs and Academia Sinica, the NSTC is implementing a five-year, NT$8 billion (US$258.86 million) quantum technology initiative initiated in 2022.

Highlighting the potential of quantum computing, Luo referenced a Google study revealing remarkable speed in completing a random circuit sampling task on its Sycamore processor with 70 quantum bits (qubits), showcasing superior computational efficiency compared to classical supercomputers. Acknowledging security concerns regarding the eventual ability of quantum computers to breach digital code protections, Luo emphasized the importance of countermeasures like quantum cryptography.

While recognizing the current challenges, including high error rates, Luo projected that six more years of research and development are essential for quantum computing to reach maturity and make a global impact. Emphasizing the strategic significance for Taiwan to pioneer quantum technologies, NSTCs collaboration with academia and industry aims to streamline the quantum computer component supply chain. Additionally, Taiwan is engaging with Finnish quantum computing hardware company IQM for potential testing platforms and leveraging quantum cloud computation services from global players like IBM and Amazon. For further details, you can read an article posted in the Taipei Times which can be accessed here.

January 10, 2024

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Quantinuum partners with Riken for hybrid quantum supercomputing platform – DatacenterDynamics

Quantum computing company Quantinuum has agreed a deal with Japanese research institution Riken to supply a H1-Series quantum computer.

Powered by Honeywell, the Quantinuum H1-1 ion trap quantum computer which contains 20 fully connected qubits that sit across five Quantum Charged Coupled Device (QCCD) zones.

Under the terms of the agreement, Quantinuum will install the hardware at Rikens campus in Wako, Saitama, with the deployment forming part of the research labs project to build a quantum-HPC hybrid platform consisting of high-performance computing systems. This will be Quantinuum's first on-premise delivery of a system.

Supported by the New Energy and Industrial Technology Development Organization (NEDO), a national research and development agency under Japans Ministry of Economy, Trade and Industry, the project aims to demonstrate the advantages of hybrid computational platforms.

Researchers from Riken also plan to collaborate with Softbank, University of Tokyo, and Osaka University to develop the software tools and applications necessary for the effective integration of quantum and supercomputers.

Riken is home to Japans first quantum computer, which went online in April 2023. That superconducting machine currently has 64 qubits, but the institute has acknowledged the computer will need to increase this number to one million qubits to become more widely used.

Advanced quantum computers of NISQ are now moving into the practical stage as the number of qubits is increasing and the fidelity is improved, said Dr. Mitsuhisa Sato, deputy director at Riken, and director of the labs quantum HPC collaborative platform division.

Riken is committed to developing system software for quantum-HPC hybrid computing, by leveraging its comprehensive scientific research capabilities and experience in the development and operation of cutting-edge supercomputers such as Fugaku, he said.

Quantinuum was founded in 2021 when Honeywell spun out its Quantum Solutions division and merged it with UK quantum computing startup Cambridge Quantum Computing.

In May 2023, the company announced the launch of its System Model H2 which contains 32 qubits capable of all-to-all connectivity. According to Business Insider, the H2 occupies around 200 sq ft in a data center in Denver, Colorado. It is reportedly one of two prototype machines in the facility.

Honeywell owns a 54 percent stake in Quantinuum. IBM is also an investor.

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2023: A Year of Growth and Collaboration for Quantum Computing – The Quantum Insider

By John Levy

CEO, Co-Founder and Chair, SEEQC

In 2023, the quantum ecosystem experienced significant strides in research and development, with companies big and small contributing to the industrys overarching goals.

The culmination of these advances proves that collaboration and competition is the best approach to bring quantum computing to life. For a technology with as much potential to alter computing as we know it, we must collaborate within, and outside of, our industry to ensure its success.

The achievements in 2023 are strong evidence of the positive trajectory of the industry, with numerous innovations from many different quantum computing companies, global expansion of the technology, and cross-sector collaborations vital to the development and implementation of quantum computing.

Breakthroughs

Error correction, a key focus for quantum computing, is essential for scalability; the most successful quantum computers will be defined by this metric, among many others. In February, Google published promising results, finding that a 17-qubit system could successfully recover from one error, and a 49-qubit system could recover from two simultaneous errors. This was a major milestone in Googles quantum roadmap as it continues to be a key contributor to the quantum landscape. And in November, Amazon introduced a new chip for quantum computing which has suppressed errors by 100x. According to Amazon, combining passive and active error correction approaches could theoretically achieve quantum error correction six times more efficiently than standard methods. IBM Scientists discovered a new error correction scheme that work with 10x fewer qubits, a discovery that has enabled IBM to clarifying its roadmap for the next decade.

This year, our long established partner, Riverlane, introduced an error correction decoder chip that shows promise for tackling the complexity of decoding large arrays of error corrected qubits. This work however also highlights the latency and bandwidth bottlenecks associated with decoding error correction architectures at scale. Multi-stage decoder strategies like those by Microsoft, Riverlane and our scientific consultant, Simon Trebst, prove that pre-decoding is key to eliminating these latency and bandwidth bottlenecks while also proving that a chip-based solution integrated with qubits at the chip level is critical to unlocking these benefits. In 2024 we look forward to defining the worlds first integrated chip-based decoder architecture to prove our chips are the solution to scaling all quantum computers.

Quantum computers must also be scalable and energy efficient to make a meaningful impact. In March, SEEQC debuted its first quantum reference system, SEEQC System Red. This milestone was celebrated in July with a collaboration with HQS Quantum Simulations, in which SEEQC Red successfully ran HQSs algorithm for the first time on real hardware. Collaborations like this and others define (and prove) the commercial applications that this technology can provide.

Later in the year, SEEQC introduced its first fully digital chipset for full-stack quantum computers, capable of control and multiplexing. SEEQC takes a different approach to scalability, using SFQ chip methodology as opposed to cryo-CMOS, the latter of which has been used to scale modern computing chips. SEEQCs digital single flux quantum (SFQ) chips will be capable of running all core qubit controller functions of a quantum computer at the same cryogenic temperature as the qubits, a significant development for energy efficiency in quantum.

As quantum chips continue to grow in power and capability, legacy chip providers are also significantly expanding the quantum ecosystem such as the debut of Intels spin silicon 12-qubit chip in June. The experience, expertise and resources of these legacy companies allow for smaller companies to dynamically improve upon their findings and advance their technology alongside these industry leaders.

It is impossible to discuss scalability and energy efficiency without addressing the need for larger qubit arrays which hold the potential for larger systems. Atom Computing was the first company to reach 1,000 qubits in a quantum computer, followed up by IBMs 1,000 qubit system, unveiled in December. These are grand milestones in showcasing the power that these quantum computers can hold, but there is still much to do surrounding error correction, scalability and coherence to make these systems commercially applicable.

Quantum continues to go global

Quantum expanded globally this year, with some pivotal firsts in validating the technology occurring across the globe.

IQM was selected to deliver the first processing units for quantum computers to Spain. Like many governments globally, Spain is committed to being a part of the quantum landscape, and its presence strengthens Europes regional quantum industry.

Similarly, Japans first gate-based quantum computer from the Riken Research Institute went live, solidifying the APAC regions role in the development of applicable and useful quantum computing. Japans first gate-based quantum computer is a significant milestone for the country, the region and the industry as a whole.

One month later, SEEQC built Italys first full-stack quantum computer at its facility in Naples. The Italian government has signaled that quantum computing is an immediate priority, and will invest significant resources over the next few years in hopes of establishing itself as a leader in this field.

For quantum computing to make the global impact that it has the ability to do, nations must collaborate for the growth and betterment of the technology. These achievements from 2023 paint a picture of a flourishing global industry, and 2024 will bring more important developments for international quantum computing.

Collaboration opens the door for quantums future

One of the most impactful ways for quantum development is cross-industry partnerships and collaborations, combining the resources and expertise from leaders in their respective fields with a conjoined goal. These collaborations are taking place across the world making it impossible to list all of them, which speaks volumes to the global demand for quantum computing in a number of industries.

The leading industry ripe for application is the medical and pharmaceutical field. IBM and Moderna announced a collaboration to research how quantum computing and generative AI can positively impact mRNA science; IBM will give Moderna access to quantum computing systems to research the capabilities of quantum computing in pharmaceuticals.

Leveraging expertise from todays classical computing leaders is a significant resource for quantum computing. NVIDIA has invested considerably in their position in quantum computings landscape, announcing a number of quantum-focused collaborations. One of these projects with SEEQC pursues the worlds first CPU, GPU and QPU chip integration to create a singular high-powered system with infrastructure for quantum AI and other applications.

Its imperative that quantum computing embraces the role of academia in its growth as an industry. Harvard, in collaboration with QuEra, created the first programmable, logical quantum processor, capable of encoding up to 48 logical qubits. This processor has also executed hundreds of logical gate operations, showing significant progress for the performance of neutral atom quantum computing systems.

It has been a year of promising advancements and critical milestones in quantum computing. It will take an ecosystem of thoughtful and innovative companies, not one winner, to propel quantum computing into the realm of useful technologies, and that is reflected in 2023s accomplishments.

While its important to reflect, its much more impactful to look ahead: 2024 holds great promise for our industry. Collaborations will continue to thrive and teach us all about the capabilities of quantum technology. Technology will continue to progress and make significant strides that were once unimaginable. And as CHIPS and Science Act funds begin to directly impact the quantum computing industry, the best is yet to come for my colleagues in the quantum computing industry.

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