AWS Related Topics 
CIO
JUNE 11, 2024
With a shortage of IT workers with AI skills looming, Amazon Web Services (AWS) is offering two new certifications to help enterprises building AI applications on its platform to find the necessary talent. Candidates for this certification can sign up for an AWS Skill Builder subscription to check three new courses exploring various concepts.
CIO
MAY 29, 2024
SAP is expanding its AI ecosystem with a partnership with AWS. The cloud hyperscalers AWS, Google and Microsoft are also important platform partners to operate SAP’s cloud applications. The cloud hyperscalers AWS, Google and Microsoft are also important platform partners to operate SAP’s cloud applications.
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CIO
MAY 21, 2024
Customers around the world have seamlessly migrated their enterprise applications to VMware Cloud on AWS to combine the scale and agility benefits of public cloud with the security, resiliency, and performance benefits of private cloud. VMware Cloud on AWS is no longer directly sold by AWS or its channel partners.
CIO
MAY 3, 2024
IBM has announced the expansion of its software portfolio to 92 countries in AWS Marketplace, a digital catalog with thousands of software listings from independent software vendors (ISVs). Since AWS is the cloud infra leader with thousands of enterprises and many of them overlap with IBM and RedHat using their SaaS solutions.
Advertiser: Datadog
Containers power many of the applications we use every day. Particularly well-suited for microservice-oriented architectures and agile workflows, containers help organizations improve developer efficiency, feature velocity, and optimization of resources.
CIO
FEBRUARY 2, 2024
Amazon Web Services (AWS), the cloud computing arm of Amazon, posted a 13% growth in revenue in the fourth quarter of 2023 buoyed by demand for generative AI -related services, despite continued cost optimization activity by enterprises. “Similar to what we shared last quarter, we continue to see the diminishing impact of cost optimizations.
CIO
APRIL 4, 2024
In a fresh round of layoffs, Amazon is laying off hundreds in the company’s cloud division, Amazon Web Services (AWS). The layoffs will affect AWS’ sales, marketing, and brick-and-mortar technology development teams. Amazon’s cloud computing division has long been a key driver of its profitability.
Advertiser: Datadog
In this eBook, find out about the benefits and complexities of migrating workloads to AWS, and dive into services that AWS offers for containers and serverless computing. Find out the key performance metrics for each service to track in order to ensure workloads are operating efficiently.
Speaker: Veena Vasudevan and Jason Hughes
In this webinar, Dremio and AWS will discuss the most common challenges in data architecture and how to overcome them with an open data lakehouse architecture on AWS. By moving analytic workloads to the data lakehouse you can save money, make more of your data accessible to consumers faster, and provide users a better experience.
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Yet keeping all the moving parts of cloud running right – especially in a fast-moving, competitive market – can cause conflict between technical and business objectives.
Speaker: Speakers from SafeGraph, Facteus, AWS Data Exchange, SimilarWeb, and AtScale
Data and analytics specialists from AWS Data Exchange and AtScale will walk through exactly how to blend and operationalize these diverse data external and internal sources. Real-world examples of data initiatives from AWS Data Exchange, SimilarWeb, Facteus, and SafeGraph customers.
Speaker: Ryan Bryers, SVP of Global Engineering
With technology giants like Google, AWS, and Azure leading the charge, the true value of the cloud extends far beyond cost savings. In a rapidly evolving industry, the shift from traditional on-premise systems to cloud-based solutions has become crucial for retail success.
Speaker: Javier Ramírez, Senior AWS Developer Advocate, AWS
In this session, we address common pitfalls of building data lakes and show how AWS can help you manage data and analytics more efficiently. Can operations monitor what’s going on? Will the data lake scale when you have twice as much data? Is your data secure? Javier Ramirez will present: The typical steps for building a data lake.
Speaker: Paul Weald, Contact Center Innovator
Learn how to streamline productivity and efficiency across your organization with machine learning and artificial intelligence! No matter what industry you're in - healthcare, customer service, sales, and more - it’s easier than you think to reduce wait times, monitor sentiment, and provide enhanced self-service options for all of your users.
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