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Session Details
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Session #
3
AI and Data Science
Agentic AI Transformation - Strategic, Ethical, and Practical Challenges for Product Leaders
We are witnessing a transformative shift in AI technology, where AI is no longer merely a technology that plays a reactive role in automating repetitive or rule-based tasks; in today’s agentic, transformative era, it plays a proactive, collaborative role.
To take the competitive advantage and stay ahead in this era requires organizations not just to adopt new technology but to rethink workflows fundamentally. Adopting an agentic transformation is not an option for today's product leaders but a compulsion, ignoring which would be a critical strategic error.
This session clearly outlines the strategic, ethical, and practical challenges that product leaders encounter during agentic transformation and provides effective strategies for navigating these challenges with confidence.
Harsha Upadhyay
Founder, Data & AI Practitioner
All About Data LLC
Harsha Upadhyay is a seasoned professional with over twenty years of experience in the information technology industry. With an academic foundation in physics, computer science, and data science, and advanced studies in Digital Transformation and Agentic AI, her diverse background has supported a dynamic career spanning global leadership roles in data architecture and technology.
Passionate about data and emerging technologies, she enjoys the challenge of applying them strategically to drive innovation and meaningful change.
Committed to advancing data and AI awareness & literacy, she recently founded All About Data—a firm focused on promoting AI awareness and empowering individuals and organizations to learn, build, and lead with data and artificial intelligence.
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