{"id":10765,"date":"2026-02-04T18:45:05","date_gmt":"2026-02-05T00:45:05","guid":{"rendered":"https:\/\/attentionmedia.io\/?p=10765"},"modified":"2026-02-04T18:45:05","modified_gmt":"2026-02-05T00:45:05","slug":"your-ai-strategy-fails-without-data-and-context","status":"publish","type":"post","link":"https:\/\/attentionmedia.io\/?p=10765","title":{"rendered":"Your AI strategy fails without data and context"},"content":{"rendered":"
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Throughout 2025, no topics seemed to be connected at the hip quite like data and AI.\u00a0<\/p>\n

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.<\/p>\n

In 2026, adding context to the data-and-AI conversation is a requirement..\u00a0<\/p>\n

In this episode, we\u2019re 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.<\/p>\n

Episode guide<\/h3>\n

0:32:<\/strong> Meet Rahul Auradkar<\/a>
1:32: <\/strong> How do various Salesforce products work together to support AI<\/a>?
4:44:<\/strong> What are customers telling Salesforce about agentic AI and the state of their data<\/a>?
8:29: <\/strong>Why does data continue to challenge organizations<\/a>?
11:05: <\/strong>What does the year ahead hold for data, context and AI<\/a>?<\/p>\n

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