TLDR: Ash Dhupar, Chief Data & Analytics Officer at Analog Devices, is slated to deliver a keynote in New York City, focusing on the critical strategies and inherent challenges involved in scaling generative AI from experimental phases to widespread enterprise deployment. His address is expected to cover infrastructure, training efficiencies, ethical considerations, and adoption mechanisms.
Ash Dhupar, the Chief Data & Analytics Officer (CDAO) at global semiconductor leader Analog Devices, is scheduled to deliver a significant keynote address in New York City. The focus of his presentation will be the intricate process of scaling generative artificial intelligence (GenAI) – transitioning these powerful models from initial lab-based experimentation to robust, large-scale implementation across enterprises.
Dhupar’s insights are highly anticipated, given his extensive background as a results-driven AI and data executive. His career has seen him lead business transformations across a diverse array of industries, including aerospace and defense, semiconductor, healthcare, technology, retail, and media and entertainment. Prior to his role at Analog Devices, Dhupar served as CEO and CDAO at The Incredible Minds Inc., where he was instrumental in developing disruptive AI platforms for sectors like healthcare, retail, and fintech. His experience also includes a tenure as Chief Data Officer at BAE Systems, where he spearheaded data and analytics strategies that drove digital transformation initiatives across a multi-billion dollar portfolio.
The keynote is expected to delve into the multifaceted strategies and challenges associated with scaling GenAI. Key discussion points will likely include establishing resilient infrastructure to support large-scale AI operations, optimizing training processes for efficiency and performance, navigating the complex landscape of ethical considerations in AI deployment, and fostering widespread adoption within organizations. These themes align with broader industry discussions on moving beyond the theoretical potential of GenAI to practical, impactful applications.
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Dhupar is also recognized for his contributions to the data and AI community, serving as an advisory board member for Rutgers University and holding a position on the CDO Magazine Global Editorial Board. He is also the author of an upcoming book titled ‘Deep Profits: Driving Business Growth with AI-driven Organizations,’ further solidifying his expertise in leveraging AI for business growth. While specific event details for an NYC keynote on October 17, 2025, were not explicitly found, the themes align with upcoming CDO Vision events in New York, such as one scheduled for January 30, 2026, where top data and AI executives convene to discuss the future of enterprise AI.
