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Suntosh
Suntosh Murthy

Senior Partner Channel Sales Engineer

Despite the many promises of generative artificial intelligence (GenAI), organizations often struggle to build GenAI applications that meet business goals, and within a reasonable timeframe. Enterprise GenAI applications often fail to deliver their expected value because “out-of-the-box” AI models do not know where to find the most accurate, authoritative enterprise data to answer questions. AI model training always cuts off at some point in the past, and enterprise proprietary data will not be used in the training of public models.

Denodo and AWS are working to change that by combining the Denodo Platform’s logical data management capabilities with Amazon Bedrock’s suite of AI infrastructure features.  

The combination of Denodo and Bedrock provides a complete foundation for building AI applications at an enterprise scale, accelerating organizations’ access to:

  • A single logical interface for interacting with all data assets in real time, including invaluable semantic information and security.
    • This ensures that AI systems have access to all of the proprietary data they need to make a differentiating impact.
  • A strong AI foundation providing access to cutting edge models and development patterns, while still leading with security.
    • This takes highly complex AI infrastructure management tasks away from the organization and lets them focus on building value.

Key takeaways from this session

  • Gain an analysis of existing challenges and successes in AI models according to analysts and experts
  • Discover how Denodo accelerates Gen AI initiatives using a Logical Foundation to implement a RAG Use Case.
  • Uncover significant differentiators in leveraging Denodo for GenAI

Join us for this insightful discussion to learn how Denodo and AWS are shaping the future of data capabilities with GenAI.

Learn more about Denodo and GenAI with AWS.

 

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