AWS re:Invent 2025 - Agentic Data Fabric: Powering Autonomous AI with Trusted Data (AIM257)

Summary of AWS re:Invent 2025 - Agentic Data Fabric: Powering Autonomous AI with Trusted Data (AIM257)

Overview of Relio

• Relio is a data unification platform that brings together data from multiple sources to provide a single, trusted view of key business entities
• It moves beyond traditional "golden record" master data management to create rich, 360-degree profiles of customers, products, and other important entities
• This unified data graph serves as a foundation for building intelligent, autonomous agents and data-first applications

Challenges in Data Unification

• Companies struggle with data fragmentation, as customer, product, and other data is spread across multiple SaaS systems and databases
• Manually integrating and cleansing this data is time-consuming and expensive, requiring significant effort from data stewards
• Complex data models make it difficult to map and combine data from disparate sources

Relio's Approach

• Relio aims to automate the data unification process, reducing manual effort by 1-2 orders of magnitude
• The platform ingests data from multiple sources, identifies and resolves duplicates, and builds a unified, real-time data graph
• This graph-based data model is well-suited for interaction with large language models and the development of intelligent agents

Agent-Based Data Management

• Relio has developed "agent" capabilities to autonomously manage and maintain the data within the unified data graph
• One example demonstrates an agent that identifies and resolves data duplication issues, enriching the data with web-based information and proposing actions to fix the problems
• This agent-based approach can perform data quality tasks in a matter of minutes, compared to the 30-40 minutes it would take a human data steward

Agent-Powered Applications

• Relio also showcases agents that can leverage the unified data graph to power data-driven applications and use cases
• One example demonstrates an agent that provides personalized product recommendations to a customer, based on their profile, purchase history, and household information
• The agent can explain its reasoning, citing the specific data points and sources it considered in making the recommendations

Technical Implementation

• Relio's platform is built on AWS technologies, including Agent Core and the Strands SDK, which provide scalability, security, and ease of integration with large language models
• The use of these AWS services allows Relio to focus on the core value-add of its data unification and agent-based capabilities, rather than having to build out the underlying infrastructure

Business Impact

• Relio's solutions enable large enterprises to dramatically reduce the time and effort required to unify and maintain high-quality data
• This, in turn, allows them to build more intelligent, data-driven applications and agents that can deliver personalized experiences and recommendations to customers
• The examples showcased, such as CarMax's 15-minute vehicle transaction guarantee and Warner Bros.' ability to manage its intellectual property, demonstrate the real-world impact of Relio's approach

Conclusion

• Relio's Agentic Data Fabric represents a significant advancement in the field of data unification, leveraging the power of large language models and autonomous agents to deliver trusted data and intelligent applications
• By automating the data integration and cleansing process, Relio enables enterprises to focus on deriving business value from their data, rather than getting bogged down in the challenges of data management
• The platform's integration with AWS technologies and its ability to scale to the needs of large organizations make it a compelling solution for enterprises seeking to unlock the full potential of their data.