At the start of the mass popularity phase of generative AI, large language models were the star of the show. Vendors released bigger and newer models. However, the conversation has recently shifted from considering big or small models to a deep focus on data. In this episode of the Targeting AI podcast from AI Business, Yasmeen Ahmad, of Google Cloud, discusses the transformative effect of generative AI on the data landscape. She emphasizes the importance of treating data as a product, the shift toward multimodal data, and the role of AI agents in enhancing data management and decision-making processes.

Featuring: Yasmeen Ahmad, managing director of product management for data and AI Cloud, Google Cloud

In this episode, we cover how:

The era of multimodal data is upon us, integrating various data types.
Agentic AI enhances the understanding of unstructured data.
Databases must evolve into cognitive reasoning engines for AI.
Gemini Enterprise provides a unified platform for AI and data.
Data security and responsibility are critical in AI deployment.

To learn more about the role data plays in generative AI, check out AI Business from Informa TechTarget, and please subscribe to our newsletter to keep up to date on the most important AI news.

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References:

Google AI exec says data is the next phase of generative AI