Build a semantic layer for agentic AI on AWS with Denodo and Amazon Bedrock AgentCore

Amazon Web Services (AWS) has unveiled a powerful new feature aimed at enhancing the capabilities of agentic AI through the integration of the Denodo Platform and Amazon Bedrock AgentCore. This innovative solution allows businesses to create a governed semantic layer that federates data from various sources, including Amazon Aurora, Amazon Redshift, and on-premises PostgreSQL databases. By enabling a unified customer 360 view, organizations can leverage this semantic layer to enhance their AI-driven applications, ensuring that data is not only accessible but also governed effectively. The use of Virtual Query Language (VQL) allows agents to query this data seamlessly, while identity propagation and strict access controls are enforced at the semantic layer, ensuring that sensitive information remains protected and compliant with data governance policies.

The collaboration between Denodo and AWS represents a significant step forward in the realm of data management and AI. As companies increasingly rely on data-driven insights to inform their business strategies, the ability to integrate disparate data sources into a single, coherent view becomes paramount. The Denodo Platform, known for its data virtualization capabilities, allows organizations to connect to various data sources without the need for complex data replication or movement. This means that businesses can access real-time data insights while maintaining control over their data governance policies. The integration with Amazon Bedrock AgentCore further enhances this capability by providing a robust framework for building and deploying agentic AI applications that can interact with this federated data layer.

Key facts

Who's involved

The key players in this development are Amazon Web Services (AWS), a leading cloud service provider, and Denodo Technologies, a recognized leader in data virtualization. AWS has been at the forefront of cloud computing innovations, providing a wide array of services that enable businesses to leverage the power of the cloud. Denodo, on the other hand, specializes in data virtualization, helping organizations connect and manage their data across various sources without the need for complex data integration processes. Together, they are poised to redefine how businesses approach data management in the context of AI.

The integration of Denodo's capabilities with AWS's cloud infrastructure allows for a seamless experience for users looking to build agentic AI applications. This partnership is particularly significant as it addresses the growing need for organizations to manage their data effectively while ensuring compliance with regulatory standards. By combining their strengths, AWS and Denodo are setting a new standard for data accessibility and governance in the AI landscape.

To understand the significance of this development, it's essential to consider the challenges that organizations face when managing data across multiple sources. Traditionally, businesses have relied on data warehouses and data lakes to store and analyze their data. However, these approaches often lead to data silos, where information is trapped within specific systems, making it difficult to obtain a comprehensive view of the data landscape. The introduction of a semantic layer that federates data from various sources addresses this issue by providing a unified access point for data queries.

In the past, organizations would have to invest significant time and resources into data integration projects, often resulting in delayed insights and increased operational costs. The Denodo Platform's data virtualization capabilities allow organizations to bypass these challenges by enabling real-time access to data without the need for extensive data movement. This shift not only streamlines the data management process but also empowers organizations to make informed decisions based on the most up-to-date information available.

How to read the numbers

What you can do with it

• Implement a governed semantic layer for your agentic AI applications.
• Utilize VQL to query data from multiple sources seamlessly.
• Ensure compliance with data governance policies through row- and column-level access control.
• Create a comprehensive customer 360 view by integrating data from various platforms.
• Leverage real-time insights to drive business decisions and strategies.

What we're watching

As organizations begin to adopt this new semantic layer, it will be crucial to monitor how effectively they can integrate their existing data systems with the Denodo Platform and Amazon Bedrock AgentCore. Additionally, the response from the market regarding the ease of use and the impact on operational efficiency will provide valuable insights into the success of this integration. The potential for further enhancements in AI capabilities through this semantic layer is also an area to watch, particularly as businesses seek to leverage AI for more complex decision-making processes.

Looking ahead, the integration of Denodo and AWS is expected to pave the way for more advanced AI applications that can harness the power of federated data. As organizations continue to explore the possibilities of agentic AI, the ability to access and govern data effectively will be a critical factor in determining their success. The landscape of data management is evolving rapidly, and this collaboration is a clear indication of the direction in which it is headed. By providing a robust framework for data accessibility and governance, AWS and Denodo are setting the stage for a new era of AI-driven insights that can transform how businesses operate and make decisions.