Amazon and Denodo Team Up to Make AI Agents Smarter

Amazon Web Services (AWS) and Denodo have created a new way for companies to build AI agents—software that can take actions and answer questions—using data from many different places. The system uses a 'semantic layer' that acts like a universal translator, letting the AI understand and query data from sources like Amazon's cloud databases and even old-school on-premises systems. This means an AI could answer questions that require combining information from multiple databases, such as 'Which of our top customers haven't signed up for our rewards program?' without needing to copy all the data into one place.

The key benefit is that businesses can now build AI assistants that access live data securely and in real-time, without complex and costly data migration. The semantic layer handles all the behind-the-scenes work of figuring out where data lives and how to combine it, so the AI can focus on answering questions. This could lead to more accurate and timely insights for decision-making, and save companies time and money on data integration projects.

However, there's a catch: this is an enterprise solution that requires technical expertise to set up. It's not something an individual can use out of the box. Companies need to have their data sources configured and use Denodo's platform along with Amazon Bedrock AgentCore. Also, while the system is designed to be secure, giving AI access to sensitive data always carries some risk, so proper governance is essential.

Overall, this partnership is a step toward making AI agents more useful in the business world by breaking down data silos. As more companies adopt these tools, we can expect AI assistants to become more capable of handling complex, data-driven tasks—potentially changing how work gets done in fields like customer service, sales, and operations.