Your AI strategy fails without data and context
Moving beyond LLMs to AI agents is a heavy lift. We sat down with Salesforce’s Rahul Auradkar to discuss building a data foundation with context.
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Throughout 2025, no topics seemed to be connected at the hip quite like data and AI.
As AI users and businesses started to plan for moving beyond popular LLMs and into real-world deployments of AI and agents, the importance of accurate, well-governed data as the foundation for AI became clear.
In 2026, adding context to the data-and-AI conversation is a requirement..
In this episode, we’re talking to Rahul Auradkar, President, Data Foundations at Salesforce, about the future of AI and agents, and the role of data and context in AI strategies.
Episode guide
0:32: Meet Rahul Auradkar
1:32: How do various Salesforce products work together to support AI?
4:44: What are customers telling Salesforce about agentic AI and the state of their data?
8:29: Why does data continue to challenge organizations?
11:05: What does the year ahead hold for data, context and AI?
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