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Get Data-Ready for Agentic AI with Supratibh Srivastava from AWS

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Manage episode 490923137 series 3622826
Content provided by Lorena Andrews. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Lorena Andrews or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

What does it actually take to prepare your enterprise data for the next wave of Agentic AI? In this special episode recorded live at Autonomous 25, Acceldata’s product marketing leader, Sonam Jain talks with Supratibh Srivastava, Principal Sales for ML Startups at AWS, about how companies are building a strong foundation for GenAI and agentic systems.

You’ll learn:
How data silos, poor governance, and unclear data strategy stall enterprise AI models

What agentic data management means for data engineering and platform teams

Why clean, observable, and policy-compliant data is critical to preventing hallucinations

The role of AWS Bedrock, SageMaker, and DataZone in enabling trusted, scalable AI

Whether you're building AI foundations, launching LLM-powered tools, or scaling GenAI infrastructure, you’ll walk away with clear next steps and practical inspiration.

  continue reading

13 episodes

Artwork
iconShare
 
Manage episode 490923137 series 3622826
Content provided by Lorena Andrews. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Lorena Andrews or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

What does it actually take to prepare your enterprise data for the next wave of Agentic AI? In this special episode recorded live at Autonomous 25, Acceldata’s product marketing leader, Sonam Jain talks with Supratibh Srivastava, Principal Sales for ML Startups at AWS, about how companies are building a strong foundation for GenAI and agentic systems.

You’ll learn:
How data silos, poor governance, and unclear data strategy stall enterprise AI models

What agentic data management means for data engineering and platform teams

Why clean, observable, and policy-compliant data is critical to preventing hallucinations

The role of AWS Bedrock, SageMaker, and DataZone in enabling trusted, scalable AI

Whether you're building AI foundations, launching LLM-powered tools, or scaling GenAI infrastructure, you’ll walk away with clear next steps and practical inspiration.

  continue reading

13 episodes

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