Innovate: Generative AI + Data Resource Hub

This executive brief will help you navigate the complexities and drive tangible results quickly and securely. Plus, get inspired by real-world examples of companies fueling innovation with gen AI on Amazon Web Services (AWS).

This eBook takes you through the key challenges in training and inferencing models and how the right infrastructure can optimize cost, improve per formance, and reduce time to market.

This guide outlines the key challenges in developing gen AI application and shows how Amazon Bedrock addresses these challenges to boost productivity, efficiency, and innovation. Additionally, you will gain insights from real-world examples into how leading businesses use Amazon Bedrock to build gen AI applications securely.

In this eBook, we'll take a closer look at the common challenges that come with manually building and maintaining ETL pipelines. We'll then examine how the right data integration technology works to remove those challenges. And to wrap up, we'll dive deeper into four areas of data integration.

It is no surprise that business and data leaders want to move quickly with their own generative AI applications. They want to know not only how to take the next best step, but also how to gain a competitive advantage in this emerging space. The key to unlocking the potential of generative AI is your organization’s own data. Your data is your differentiator.