Category: Artificial Intelligence

Looking to navigate Cloud journey to realize the full benefits of cloud adoption? Learn how Modernization GPS, a solution designed by Accenture and AWS guide enterprises towards successful cloud Modernization. Modernization GPS provides data-driven insights into the current technology estate, quantifies modernization value creators, and identifies tailored investment opportunities. It also leverages industry benchmarks and proven AWS modernization pathways to help align business and IT stakeholders.

Generative AI is revolutionizing how organizations engage with data and extract insights as the outputs. With the need of enhancing outputs from data with accuracy and context, many organizations are leveraging their extensive datasets with the adoption of Retrieval-Augmented Generation (RAG). GreenTomato follows a comprehensive approach for generative AI adoption from data strategy to RAG application to drive our customers on the adoption of RAG.

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.

This blog post will dive into Amplitude’s latest offering built with Amazon Web Services (AWS), focused on GenAI-powered experiences for customers and unified customer data profiles to help companies unlock the full potential of customer behavioral data, enabling them to make faster, data-driven decisions at scale.

By Palash Jain, Senior Consultant – Fractal By Deval Kulshrestha, Senior Consultant – Fractal By Raghu Iyer, Sr. Partner Solution Architect – AWS By Somdeb Bhattacharjee, Sr. Solution Architect – AWS Fractal Analytics In the ever-evolving pharmaceutical landscape, data-driven decision-making has become pivotal for companies to stay ahead of the curve. However, the industry often […]

Discover how EPAM’s Collaborative Omics Research Accelerator™ (CORA™), powered by AWS HealthOmics, enables life sciences organizations to accelerate omics research through scalable, cost-effective data analysis. Learn how this solution addresses the challenges of exponential genomic data growth while providing a user-friendly, secure, and GxP-ready environment for analyzing and correlating omics data at scale.

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 […]