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Ashish
Sharma
Head of Product & Engineering, AI Analytics & Insights
Ashish Sharma is a product and engineering leader focused on building enterprise AI systems that move beyond chat-based experiences into deeply integrated, workflow-driven intelligence platforms. Currently Head of Product & Engineering for AI Analytics and Insights, he leads the development of AI-first analytics capabilities designed to solve complex enterprise problems across messy data environments, model reliability, security constraints, and large-scale operational workflows. With extensive experience spanning AI platforms, analytics, enterprise transformation, cloud infrastructure, and commercial systems, Ashish is known for bringing a pragmatic, execution-focused perspective to enterprise AI adoption.
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22 September 2026 10:00 - 10:45
The human side of change: What product teams get wrong
Every new technology promises to transform the way we build products, but the technology itself is rarely the hardest part. The real challenge lies in getting people, processes, and decision-making to evolve alongside it. Drawing on decades of experience leading engineering and large-scale transformation initiatives, Ashish Sharma shares a practitioner's perspective on why so many high-profile initiatives fall short, despite strong technical foundations. Through real-world examples, he'll explore the organizational habits, leadership decisions, and cross-functional alignment that separate lasting business impact from short-lived excitement. Whether you're introducing AI, modernizing your product organization, or driving change at scale, this session offers practical lessons on turning ambitious strategies into sustainable outcomes. Key takeaways - Understand why people, processes, and culture are often the biggest barriers to successful transformation. - Learn practical approaches for building organizational alignment around major change initiatives. - Discover decision-making frameworks that help product teams move beyond hype and deliver measurable business value. - Identify the common pitfalls that derail transformation efforts and how experienced leaders avoid them.