Your AI strategy will fail without data and context | MarTech

Your AI strategy will fail without data and context | MarTech

In 2025, no topics seemed as closely linked as data and AI.

As AI users and companies began making plans to move beyond the popular LLMs and into the real-world implementation of AI and agents, the importance of accurate, well-managed 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 talk to Rahul Auradkar, President of 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 different Salesforce products work together to support AI?
4:44: What do customers tell Salesforce about agentic AI and the health of their data??
8:29: Why does data continue to challenge organizations??
11:05: What will the coming year bring for data, context and AI?

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About the author

Mike Pastore

Mike Pastore is Head of Content & Media at Third Door Media, the publisher of the Martech and Search Engine Land websites and the producer of the SMX and MarTech conferences. In nearly three decades in B2B marketing, Mike has worked as an editor, writer and marketer. He first wrote about marketing in 1998 for internet.com (later Jupitermedia). He went on to work with marketers at some of the best-known brands in B2B technology, creating content for marketing campaigns at both Jupitermedia and QuinStreet. Before joining Third Door Media as editor-in-chief of the MarTech website, he led demand generation at B2B media company TechnologyAdvice.

#strategy #fail #data #context #MarTech

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