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Effective from this week (3rd June 2024), Matt Garman is the new Chief Executive Officer (CEO) of Amazon Web Services (AWS).

He takes the reins as the third CEO of the world-leading cloud computing company from Adam Selipsky, who recently announced his resignation. Matt was the first product manager of AWS and helped to build and launch numerous core services for the company.

As new CEO, Matt's vision will be instrumental in helping the company to progress even further in the global cloud and artificial intelligence (AI) race. He listens to customers and is eager to highlight that security will always be the companys number one priority.

Having first started at Amazon in 2005, Matt has amassed more than 20 years of experience within the company building his knowledge and a strong customer base. Having worked as an MBA intern, he joined the company full-time in 2006 as one of the first product managers at AWS.

Back then, the worldwide sales team at AWS consisted of just three people.

With this comprehensive experience, Matt spent his time creating the companys first service-level agreements, defining new features and creating new pricing plans.

He then became the first product manager for EC2, Amazons Elastic Compute Cloud, leading product management in the early years of the product. Eventually, Matt became the general manager of all AWS Compute services in 2016, before moving to lead WW Sales, Marketing, Support and Professional Services in 2020.

With such a broad range of experiences at AWS, Matt holds such a unique range of abilities and has an incredible understanding of the companys customers and business. He will be able to harness his product leadership and problem-solving skills to define the next era at AWS, something which Amazon President and CEO Andy Jassy is excited by.

Matt has an unusually strong set of skills and experiences for his new role, comments Andy. Im excited to see Matt and his outstanding AWS leadership team continue to invent our future - its still such early days in AWS.

As a company, AWS is fundamentally built on the principles of outstanding service, security and operational performance. It continually pledges to innovate to solve customer problems with the power of disruptive technologies, including generative AI (Gen AI).

With the power of AI accelerating at such a rapid pace, businesses are having to find new ways to be innovative so as to not fall behind their competitors. As a result, the mission of AWS is to help customers build any type of Gen AI application to perform well, but to also be secure and sustainable.

One such example is the AWS partnership with SAP, with both companies announcing an expanded collaboration in May 2024 to enhance cloud ERP experiences and unlock greater enterprise innovation with Gen AI. Both companies seek to make it faster and easier for companies to incorporate Gen AI into their business data.

Gen AI is going to disrupt and change almost every industry and customer experience in the world, comments Matt in an AWS interview. Its an area where we have invested heavily, and will continue to do so. AWS is well positioned to build it. We have some of the worlds greatest developers, AI experts and technology.

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New AWS CEO Matt Garman: Everything You Need to Know - Technology Magazine

The main goal of a hospital is to provide patients with optimal care. Unfortunately, events of the past few years have made achieving that objective more difficult. Increasing cyberattacks have forced hospital IT administrators to turn their attention to cybersecurity to protect sensitive patient data. Decreasing revenue streams and rising labor costs have led to budget constraints. Staffing shortages are leaving clinicians with less time to devote to patients. Despite these challenges, many institutions are still committed to innovating patient care.

Hospital systems are investing in artificial intelligencebased solutions to help mitigate these and other challenges while expediting and improving the quality of patient care. However, when it comes time for deployment, healthcare organizations are often stymied by questions of how to optimize their use of AI tools. They know they need to provide clinicians with real-time intelligence at the point of care, but they may be unsure of how to do this in a way thats practical, cost-effective and scalable, especially if their infrastructures are reliant on older legacy systems.

The answer is twofold. First, healthcare organizations should consider adopting flexible hybrid edge-to-cloud infrastructures that allow them to process data at the edge and in the cloud cost-effectively. Second, they must optimize their computing resources, so they are able to extract valuable information while maintaining maximum performance and efficiency.

Click below to learn how to optimize healthcares connection to the hybrid cloud.

Hospitals are swimming in data from patient diagnostics, admissions, billing and more. This data is being stored at the edge and in a combination of private and public clouds. Each has its benefits and drawbacks.

A hybrid edge-to-cloud approach involving a combination of on-premises edge and cloud computing supports each of these environments, with the added benefits of being highly cost-effective and flexible. With a hybrid edge-to-cloud environment, hospitals can choose to manage some workloads onsite while transferring others to the cloud, thereby optimizing the cost of their computing resources. They can perform onsite processing of even the most complex workloads, allowing clinicians to receive actionable recommendations quickly while avoiding some costs associated with data transfer.

READ MORE: Overcome the top three challenges of a hybrid cloud environment.

Successful implementation of an efficient and effective hybrid cloud and edge infrastructure is dependent on hospitals ability to optimize their compute resources. This is a two-step process.

The first step is to prioritize the data being collected by myriad devices, workflows and technologies within the healthcare organization. Many hospitals continue to rely on legacy solutions and devices that are actively compiling information. Theres often real value in that data, but solutions that are a decade old or more arent equipped to run machine learning algorithms on that information. Therefore, hospitals should focus on the data that is most important to their clinical operations, find the machines that are producing that data and extract the information.

The second step is to determine where that data needs to go. Some information may require only incremental analysis that can be handled easily at the edge of the network, while deeper algorithmic analysis may entail transferal to a private or public cloud. Perhaps the workload requires a combination of edge and central processing.

Whatever the case, workloads can be shifted appropriately to maximize the use of all computing resources. This will minimize bandwidth and storage bottlenecks and strike a good balance between optimal workload performance and lower costs.

As hospital systems continue to onboard AI and real-time analytics, they will need a flexible infrastructure that supports the demands of each of these solutions without breaking their budgets. Adopting a hybrid edge-to-cloud approach and optimizing resources appropriately will allow them to effectively leverage these technologies, overcome many of their current challenges, and help clinicians provide exceptional patient care.

Read more:
Maximizing AI Deployment Value in Healthcare Requires a Hybrid Edge-to-Cloud Strategy - HealthTech Magazine

NEW YORK, June 5, 2024 /PRNewswire/ --The global healthcare cloud computing market size is estimated to grow by USD 98.6 billion from 2024-2028, according toTechnavio. The market is estimated to grow at a CAGR of 31.52% during the forecast period.

For comprehensive forecast and historic data on regions, market segments, customer landscape, and companies- Click for the snapshot of this report

Forecast period

2024-2028

Base Year

2023

Historic Data

2018 - 2022

Segment Covered

Product (SaaS, IaaS, and PaaS), Component (Hardware and Services), and Geography (North America, Europe, APAC, South America, and Middle East and Africa)

Region Covered

North America, Europe, APAC, South America, and Middle East and Africa

Key companies profiled

ALLSCRIPTS HEALTHCARE SOLUTIONS INC., Amazon.com Inc., athenahealth Inc., CareCloud Inc., Carestream Health Inc., ClearDATA Networks Inc., Cognizant Technology Solutions Corp., Dell Technologies Inc., DXC Technology Co., General Electric Co., Intelerad Medical Systems Inc., International Business Machines Corp., Microsoft Corp., NextGen Healthcare Inc., NTT DATA Corp., Oracle Corp., Salesforce Inc., Siemens AG, and VMware Inc.

Key Market Trends Fueling Growth

In the healthcare industry, edge computing enhances cloud computing systems by processing IoT data at the network's edge instead of cloud or data centers. This approach, used by vendors like BioLert, expedites data collection and analysis for real-time patient monitoring and treatment.

Edge computing enables devices to analyze data locally or transmit it to nearby servers for analysis, reducing response time. By utilizing edge computing, healthcare organizations can improve patient care and treatment plans based on accurate, timely data.

The healthcare industry is increasingly adopting cloud computing solutions to improve efficiency and patient care. Telemedicine, consulting, and consulenting are key areas where cloud technology is making a significant impact. Platforms provide remote treatment and consultation services, enabling healthcare professionals to serve patients from anywhere.

Devices and consulenting are essential components of these solutions, allowing for seamless data exchange and analysis. Segmentation includes storage, treatment, analytics, and communication. The market for healthcare cloud computing is growing, driven by the need for flexible, cost-effective, and efficient solutions. Big data and artificial intelligence are also playing a role in enhancing patient care and diagnosis. Cloud-based platforms offer scalability and ease of use, making them a popular choice for healthcare providers.

MarketChallenges

Research report provides comprehensive data on impact of trend, driver and challenges-Download a Sample Report

Segment Overview

1.1SaaS- The healthcare cloud computing market is experiencing significant growth. Businesses are adopting this technology to store and manage patient data more efficiently. Cloud computing offers cost savings, increased security, and easy access to data from anywhere. Hospitals and clinics are utilizing cloud solutions for electronic health records, telemedicine, and remote patient monitoring. This trend is expected to continue as more healthcare organizations seek to modernize their operations and improve patient care.

For more information on market segmentation with geographical analysis including forecast (2024-2028) and historic data (2018 - 2022) - Download a Sample Report

Research Analysis

The Healthcare Cloud Computing Market is experiencing significant growth due to the integration of various advanced technologies such as Electronic Health Records (EHR), Telehealth, Internet of Things (IoT), and Big Data Analytics. These technologies enable healthcare providers to store, manage, and analyze vast amounts of data from wearable devices, clinical information systems, and patient portals.

Cloud deployment and data storage solutions ensure data scalability and regulatory compliance, making it easier for healthcare organizations to offer personalized medicines and conduct clinical research and drug development. Big data applications in healthcare also facilitate the use of blockchain technology for secure data migration and payment models, catering to both private and non-clinical information segments. Overall, healthcare cloud computing is revolutionizing the industry by enhancing service delivery and improving patient care.

Market Research Overview

The Healthcare Cloud Computing Market refers to the use of cloud technology to store, manage, and analyze healthcare data. This includes electronic health records, medical imaging, and health information exchange. Cloud computing offers several advantages to the healthcare industry, such as increased data security, reduced costs, and improved accessibility. It enables healthcare providers to store large amounts of data in a centralized location, making it easier to share information between different healthcare organizations.

Additionally, cloud computing allows for real-time data analysis, which can lead to better patient outcomes. The market for healthcare cloud computing is expected to grow significantly in the coming years due to the increasing adoption of digital health solutions and the need for more efficient and cost-effective healthcare delivery. Cloud-based telemedicine, remote monitoring, and population health management are some of the key applications driving the growth of this market.

Table of Contents:

1 Executive Summary 2 Market Landscape 3 Market Sizing 4 Historic Market Size 5 Five Forces Analysis 6 Market Segmentation

7Customer Landscape 8 Geographic Landscape 9 Drivers, Challenges, and Trends 10 Company Landscape 11 Company Analysis 12 Appendix

About Technavio

Technavio is a leading global technology research and advisory company. Their research and analysis focuses on emerging market trends and provides actionable insights to help businesses identify market opportunities and develop effective strategies to optimize their market positions.

With over 500 specialized analysts, Technavio's report library consists of more than 17,000 reports and counting, covering 800 technologies, spanning across 50 countries. Their client base consists of enterprises of all sizes, including more than 100 Fortune 500 companies. This growing client base relies on Technavio's comprehensive coverage, extensive research, and actionable market insights to identify opportunities in existing and potential markets and assess their competitive positions within changing market scenarios.

Contacts

Technavio Research Jesse Maida Media & Marketing Executive US: +1 844 364 1100 UK: +44 203 893 3200 Email:[emailprotected] Website:www.technavio.com/

SOURCE Technavio

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Healthcare Cloud Computing Market size is set to grow by USD 98.6 billion from 2024-2028, Integrated service ... - PR Newswire

The digital world is undergoing a monumental transformation as artificial intelligenceand cloud computing join forces, expanding the possibilities of innovation and productivity. This strategic alliance is revolutionizing the way we work, driving unprecedented efficiency and granting businesses the competitive edge they need to thrive in today's market.

In a recent survey of global IT professionals we sponsored, business leaders cited artificial intelligence and cloud transformation as two of the main areas deserving of increased spend in 2024. This speaks not only to the potential transformative power of AI, but also the degree to which it is intertwined with the continued evolution of cloud strategies.

As organizations continue to prioritize AI and cloud, here are some key best practices and trends they should keep in mind:

Cloud computing serves as a gateway to AI, enabling companies of all sizes to remotely access sophisticated AI models and scale their computing resources as needed. By offering scalable infrastructure, the cloud allows organizations to seamlessly expand their operations, efficiently manage resources, optimize costs and maintain agility. But effective data management strategies are essential to ensure that the vast datasets that underlie AI are being efficiently stored, accessed, and analyzed.

Related:How AI is Transforming Cloud Computing

Absent a comprehensive cloud strategy, companies wishing to realize the full benefits of AI will always fall short. The ability to process large amounts of data in real-time, make informed decisions, and act quickly based on actionable AI insights are all highly cloud dependent. Moreover, the cloud allows companies to experiment with different AI models and rethink or reject projects that are proving infeasible, while accelerating successful initiatives without significant up-front investment.

In addition to providing a comprehensive environment for building, training, and implementing AI models at scale, the cloud gives organizations the infrastructure necessary to manage projects efficiently, as well as a self-sustaining ecosystem that continuously advances technology. By fostering easier collaboration among teams and geographies, it also allows organizations to tap into a global talent pool and leverage diverse perspectives, which can lead to innovative solutions and improved decision-making.

Without AI- and cloud-powered process optimization, businesses face rising operational costs and inefficiencies. Failing to invest in AI could also mean missing out on insights and opportunities, ranging from predictive analytics to personalized services to customer behavior insights to new revenue streams.

Related:Tapping AI to Alleviate Cloud Spend

Moreover, as the regulatory landscape surrounding data usage and AI ethics continues to evolve, it's crucial for companies to stay ahead of emerging regulations and ensure that their AI initiatives are compliant. The cloud plays an important role here, helping organizations maintain a better handle on their data and helping them respond more quickly and efficiently to shifts in the regulatory environment and customer expectations.

For companies lagging behind in their AI and cloud journeys, there are a few steps they can take immediately to begin to catch up to more nimble peers:

Focus on your data strategy: The most forward-looking AI organizations have already taken steps to institute comprehensive data strategies encompassing governance, security, and compliance -- all crucial elements for seamless data integration and analysis.

Understand your AI fit: Companies need to not just stay up to date on the latest AI developments, but also understand how they can align their AI and cloud investments with their business goals. Not every AI tool is right for every organization.

Prioritize innovation and training: Organizations should encourage experimentation with AI by investing in employee training and development and creating a culture that embraces change.

Build partnerships: Collaborating with partners, technology leaders and startups can provide organizations with access to cutting-edge AI solutions and unique insights that may not currently reside within your four walls. No company has all the answers on AI, so dialogue is critical.

Watch the wallet: Investing in all AI projects at once can be a sure-fire path to runaway cloud costs. Organizations should understand which projects are taking place across functional areas and account for associated cloud costs. Demonstrating a return on investment is the best way to secure organizational support and justify further AI investment.

Related:The AI Skills Gap and How to Address It

As businesses move further into a future dominated by AI and cloud computing, understanding the nature (and the potential challenges) of this technological convergence is more crucial than ever. By leveraging AI and cloud computing to their fullest potential, organizations can not just survive in this new era but emerge as leaders, shaping the future.

Continued here:
Understanding the AI/Cloud Convergence - InformationWeek

Revolutionary technology is changing the world and leading to more gains for these stocks

Source: sdecoret / Shutterstock.com

Technology isevolving in three key areasright now: artificial intelligence (AI), fifth-generation (5G) wireless, and cloud computing.Taken together,these technologiesare expectedto revolutionize life as we know it in the coming decades.And while many technology companies play in each sandbox, a handful of companiesare dominating and pushingthe tech forward.

For investors looking togrow their portfolio,it isimportantto knowwhich companies are market leaders and advancing the technologies that are reshaping the world.Theseare thegrowth stocksthatcan be counted onto outperform the market and deliver outsized returns to shareholders for many years to come.Here is the tech transformation trio: three stocks leading the charge in AI, 5G, and the cloud.

Source: JHVEPhoto / Shutterstock.com

In AI, there isAdvanced Micro Devices(NASDAQ:AMD).While the company trails archrivalNvidia(NASDAQ:NVDA) in terms of microchips and semiconductors that run AI applications and models,the companyis working overtime tocatch-up.Early signs are encouraging. As part of itsfirst-quarter financial results, AMD reported that revenue at its Data Center unit grew 80% from a year earlier to $2.3 billion due to strong sales of its new MI300 series AI chip.

Due to overwhelming demand, AMD forecastedAI chip salesthis year to be $4 billion. Thats double the amount the company had telegraphed last fall. AMD noted that it has sold more than $1 billion worth of its MI300 AI chips since they launched at the end of last year. While the MI300 chip has only been available for six months, management at AMD says they are already working on new AI chips and successors to the current generation of processors. AMD stock has risen 40% in the last 12 months.

Source: RAMAN SHAUNIA / Shutterstock.com

In fifth-generation wireless, we haveVerizon Communications(NYSE:VZ). The telecommunications companys stock hasbeen on the riseafter better-than-expected Q1financial resultsand fewer losses among its wireless subscribers. At the end of April, Verizon reported Q1 EPS of $1.15 compared to the $1.12 thatwas expectedamong analysts. Revenue totaled $33 billion, which matched Wall Street forecasts.

Verizon credited the results to its flexible plans and streaming bundlesthat includediscounted prices for services such asNetflix(NASDAQ:NFLX).The company also reportedthat it lost68,000 monthly bill-paying wireless phone subscribers during Q1, which was much less thanan estimated loss of 100,000 subscribers. A year earlier, Verizon lost 127,000 wireless subscribers.

Verizon added that its customers are choosing its premium, customizable myPlan option, which has proven popular with consumers. Late last year, Verizon began offeringdiscounted subscriptionsto Netflix with its myPlan bundles. VZ stock has gained 13% over the past year.

Source: Tada Images / Shutterstock.com

E-commerce giantAmazon(NASDAQ:AMZN) isthe leader in cloud computingwith a 31% market share. Amazon Web Services (AWS), the cloud computing unit, is increasinglyimportantto theoverallcompany. In Q1 of this year, AWS recorded $25 billion in revenue, beating estimates of $24.5 billion. AWS accounted for 62% of Amazons total operating profit during the quarter.

In speaking to analysts and media, Amazon executives credited the companys growthlargelyto demand for cloud computing. The strong showing of AWS, which continues to dominate in the cloud space, powered Amazon to an EPS of 98 cents compared to the 83 cents thatwas forecaston Wall Street.Earnings more than tripledfrom 31 cents a year earlier. Total sales amounted to $143.3 billion, up 13%year over year.

AMZN stock has increased by 44% in the last 12 months.

On thedate of publication, Joel Bagloleheld a long position in NVDA. The opinions expressed in this article are those of the writer, subject to the InvestorPlace.comPublishing Guidelin

Joel Baglole has been a business journalist for 20 years. He spent five years as a staff reporter at The Wall Street Journal, and has also written for The Washington Post and Toronto Star newspapers, as well as financial websites such as The Motley Fool and Investopedia.

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The Tech Transformation Trio: 3 Stocks Leading the Charge in AI, 5G, and the Cloud - InvestorPlace