The future of generative AI hinges on our ability to conquer the data frontier.
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Generative AI is transforming industries, but its full potential is hampered by a critical bottleneck: data. This episode explores the challenges of processing unstructured data, the shift from SQL-centric to AI-centric systems, and the emerging tools that are bridging the gap between AI models and real-world data. We’ll uncover how a robust data strategy and a new generation of tools are key to unlocking the true power of generative AI.
Audio version
Interview highlights – key sections from the video version:
- Rethinking Data for the Generative AI Era
Paradigm Shifts in Data Processing: Modernizing Data Pipelines for Generative AI
Towards More Powerful AI Agents: Unlocking AI Potential with Operational Data
Data as a Competitive Advantage in Generative AI
Related content:
- A video version of this conversation is available on our YouTube channel.
- Is Your Data Strategy Ready for Generative AI?
- Paradigm Shifts in Data Processing for the Generative AI Era
- Building Better AI Agents Through Real-Time Data Access
- Seven Features That Make BAML Ideal for AI Developers
- Inside the Data Strategies of Top AI Labs
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