Category: Thought Leadership

Amazon SageMaker is a unified platform that combines various AWS services into a single, integrated experience supporting data analytics and AI workloads. This post highlights the next generation Amazon SageMaker and its new features, including a Unified Studio, Lakehouse, and enhanced governance tools, which aim to streamline the entire data and AI workflow. It also provides insights into how AWS Partners can leverage Amazon SageMaker to enhance their solutions.

In an era where data drives innovation and AI reshapes industries, effective governance and security have become paramount. Recognizing this critical need, AWS has launched a groundbreaking Data & AI Governance and Security partner initiative. This program brings together elite Service and Software partners to tackle the complex challenges organizations face in managing their data and AI assets. Partners joining this initiative gain access to exclusive AWS tools, expertise, and go-to-market support. They also benefit from potential funding opportunities and increased visibility within the AWS ecosystem. For customers, this initiative offers a curated selection of vetted partners equipped with the expertise and tools to navigate the complexities of data and AI governance. By leveraging these partnerships, organizations can build strong foundations for responsible, secure, and innovative data practices while maintaining compliance and ethical standards.

We’re streamlining the AWS Foundational Technical Review (FTR) process—including extending the renewal period and waiving the FTR for partners that have completed an AWS Well-Architected Framework Review. The AWS Foundational Technical Review (FTR) helps partners adopt AWS technical best practices specific to their software or solution.

Discover how LTIMindtree’s Infinity Watch, built on AWS, provides full-stack observability to enhance business resiliency, reduce operational costs, and accelerate issue resolution. Learn how this AI-driven solution can help your enterprise gain actionable insights across your cloud environment.

Discover how AWS Partner Softchoice helped a Canadian automotive intelligence company successfully modernize their Microsoft workloads on AWS in just six months. Learn about their proven approach to migration, modernization, and operational readiness that can help your organization achieve similar results.

Foundation models offer a major breakthrough in the ability to rapidly prototype new AI applications. However, for many businesses building generative AI applications, a key challenge is refining these applications to be production quality. In this post, we cover how you can leverage tools from Databricks and Amazon Web Services (AWS) to address this challenge.

By Milan Thanawala – Global Head for Database, Partner GTM – AWSBy Ryan Gross – Head of Data & Applications – CaylentBy Mark Olson – Portfolio CTO – Caylent Introduction Organizations are increasingly adopting generative AI applications, which require efficient storage and retrieval of high-dimensional vector representations of data. Traditional databases are not well-suited for […]

Learn how PwC leverages AI and AWS services to build a next-generation managed cloud service platform that addresses critical challenges in cloud management. Discover how this solution enhances threat detection, security posture management, and operational efficiency while ensuring compliance and cost optimization across cloud environments.

The Clinician’s cloud-based platform offers a comprehensive SaaS solution for the CMS THA/TKA PRO-PM mandate, facilitating PROMs deployment, collection, automated data capture, reporting, real-time analytics, and adherence to global data security standards. This cutting-edge solution powered by AWS enables healthcare providers to comply seamlessly with CMS regulations while driving patient-centric care.

Learn the compelling benefits of mainframe modernization, how generative AI can simplify the process, and how Accenture and Amazon Web Services (AWS) can accelerate implementation. Mainframe Modernization in the cloud improves agility and scalability by migrating challenging legacy systems to more flexible and open solutions.