Category: Thought Leadership

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.

Discover how AWS Partner Shellkode helped Boggl AI enhance their product lifecycle management platform using Amazon Bedrock. Learn how this collaboration improved data security, automated product documentation, and achieved 60% faster release cycles while maintaining complete data privacy for customers.

This blog post explores a scalable architecture for centralized log monitoring in multi-region, multi-account AWS environments. The proposed solution leverages AWS CloudWatch account-level subscription filters to efficiently deliver logs from various sources to Grafana Cloud, a unified platform for log analysis, visualization, and alerting. By consolidating logs from disparate sources, organizations can gain improved visibility, streamline troubleshooting, enhance security and compliance, and optimize performance across their cloud infrastructure. The article provides a detailed overview of the architecture, highlighting the benefits of this approach and guiding readers on implementing this scalable log delivery solution.

By Sam Anand, WW Partner Lead, Data Foundations for AI – AWS By Sudhir Gupta, WW Tech Lead, Data & AI – AWS By Vishal Sharma, WW Tech Lead, Data & AI – AWS By Martin Pomykala, WW Partner Lead, Databases – AWS As the capabilities of generative AI models continue to advance rapidly, organizations […]