In Episode 191 of the AIAW Podcast, we’re joined by Samir Sharma, CEO and Founder of datazuum and author of *The Strategy Canvas: A Field Guide for Data & AI*, for a conversation about closing the gap between data and AI strategy and business execution. As enterprises move from AI experimentation to autonomous agents, we’ll explore how organizations can align their AI investments with measurable business outcomes, develop effective data and AI strategies, and govern the growing role of agent memory in enterprise operations. Drawing on Samir’s experience advising organizations on data and AI transformation, we’ll discuss the risks of shadow AI, persistent agent memory, governance and accountability, and why outputs should never be confused with outcomes. We’ll also examine how AI agents could reshape organizational knowledge, executive decision-making, and the future of business leadership as enterprises become increasingly AI-driven.
