TalksAWS re:Invent 2025 - Powering Autonomous AI with Trusted Data (ISV318)

AWS re:Invent 2025 - Powering Autonomous AI with Trusted Data (ISV318)

Summary of AWS re:Invent 2025 - Powering Autonomous AI with Trusted Data (ISV318)

Overview of Relio

  • Relio is a cloud-based master data management (MDM) platform that connects Agentic AI with a trusted data foundation
  • Relio's chief product officer, Anch, is a thought leader in Agentic AI and is spearheading Relio's transformation
  • Relio's mission is to unify, cleanse, and enrich data across enterprise systems to create a foundation for effective AI implementation

Relio's Approach to Data Unification

  • Relio goes beyond traditional MDM to focus on "data unification" - bringing together records from different sources to create a high-fidelity, trusted data profile
  • This "trusted profile" concept has evolved from the idea of a "golden record" to encompass rich, continuously updated profiles for key business entities like customers, suppliers, and products
  • Relio's knowledge graph serves as a context-rich, real-time data foundation to power business operations and Agentic AI across the enterprise

Customer Use Cases

  1. CarMax: The largest used car retailer in the US, CarMax uses Relio to power its 15-minute car buying/selling experience by maintaining 360-degree views of vehicles, customers, and employees
  2. Warner Brothers: Relio manages Warner Brothers' IP assets, creating a connected graph of characters, movies, and merchandising deals to enable accurate revenue accounting

Challenges in Data Management

  • Despite being a cutting-edge platform, Relio still faces some manual data operations, such as entity resolution and data quality assurance
  • Data model complexity makes it difficult to achieve a truly uniform, enterprise-wide view of data

Introducing Agent Flow

  • To address these remaining challenges, Relio has worked closely with AWS to develop a new product called Agent Flow
  • Agent Flow is a conversational interface that allows users to ask natural language questions and receive automated, AI-powered recommendations and actions
  • Key capabilities of Agent Flow:
    • Leverages Relio's trusted data foundation to provide contextual insights and recommendations
    • Utilizes AWS technologies like Amazon Agent Core and Amazon Bedrock to deliver robust, scalable, and trustworthy AI agents
    • Provides transparency into the data and reasoning behind the agent's outputs
    • Includes guardrails to keep the agents focused on appropriate data management tasks

Business Impact and Future Outlook

  • Relio's solutions, including Agent Flow, enable enterprises to make data management an order of magnitude better in terms of cost, speed, and quality
  • By combining Relio's trusted data foundation with Agentic AI capabilities, organizations can achieve unprecedented levels of personalization, automation, and data-driven decision making
  • Relio's partnership with AWS allows it to leverage cutting-edge cloud technologies to deliver these capabilities at scale for its large enterprise customers

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