Earley AI Podcast - Episode 68 - Composable Intelligence: Rethinking Customer Data with Seth Earley and Abhi Yadav

Earley AI Podcast - Episode 68 - Composable Intelligence: Rethinking Customer Data with Seth Earley and Abhi Yadav

Author: Seth Earley June 18, 2025 Duration: 44:27
In this episode of the Earley AI Podcast, host Seth Earley sits down with Abhi Yadav, founder of iCustomer AI—a cutting-edge composable decision intelligence company. With a deep background in enterprise technology, Abhi pioneered the Customer Data Platform (CDP) category and is now leading innovation in advanced multigraph frameworks and customer intelligence. He is also an advisor to leading data management organizations and is passionate about helping brands reshape how they connect with c...

Seth Earley sits down with a diverse mix of experts, from visionary thinkers to hands-on practitioners, for conversations that cut through the hype surrounding artificial intelligence. The Earley AI Podcast focuses on the tangible intersection of emerging technology and real-world business needs. Each discussion moves beyond abstract possibilities to examine the practical steps for implementing AI and machine learning within organizations. You’ll hear specific insights into data science, enterprise applications, and the evolving technological landscape. These episodes are grounded in the reality that AI is becoming deeply woven into both our professional tasks and personal routines. The dialogue consistently asks how we bridge the gap between ambitious potential and deployed, functional systems. For anyone curious about how these tools are actually built, integrated, and managed, this podcast offers a necessary and nuanced perspective. Seth guides these explorations with a focus on actionable knowledge, making complex topics accessible without oversimplifying the significant challenges and opportunities ahead. It’s a resource for understanding not just what AI can do in theory, but how it is changing our world in practice.
Author: Language: en-us Episodes: 87

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