about the session

Generative AI has evolved from a buzzword into a critical tool for solving enterprise challenges. Yet, operationalizing AI at scale presents key hurdles: preparing data for AI and having the data infrastructure to support production use cases.

This session provides a technical roadmap for overcoming these challenges. In collaboration with Interloop—a Fivetran customer, solution partner, and Microsoft Fabric ISV—we will explore the role of open table formats, technical catalogs, and practical solutions to safeguard sensitive data in AI applications. You will gain insights into Interloop’s extensive experience of productionizing OneLake and the Fivetran Managed Data Lake Service to create a universal storage layer, delivering AI-ready data and enabling the transition of generative AI use cases from experimentation to production.

Attendees will gain insights into:
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• Leveraging Fivetran’s Managed Data Lake Service to simplify data consolidation and ensure compliance with GDPR and HIPAA
• Utilizing Microsoft Fabric and OneLake for seamless scalability and governance across cloud environments
  
• Integrating with modern open table formats like Delta Lake and Iceberg for enhanced analytics and AI performance
• Addressing key challenges in scaling AI/ML initiatives, such as security, data readiness, and time-to-value acceleration