Unlocking Real AI Value in the Enterprise
Learn why successful AI isn’t just about cutting-edge models, but about measurable business impact, careful system orchestration, robust governance, and adaptability. Discover practical approaches for lasting value and cost-effective, responsible AI adoption.
Q1. Could you start by giving us a brief overview of your professional background, particularly focusing on your expertise in the industry?
I'm the Founder and CEO of Synottic, where our mission is to put people at the heart of AI. We help organizations prepare their teams for the future, create strong AI governance, and adopt responsible AI practices at scale. Before starting Synottic, I led global learning and capability-building programs at PepsiCo, and I bring over 20 years of experience across technology, learning, leadership development, and digital transformation.
My background combines software engineering, enterprise learning, executive coaching, and AI strategy, allowing me to integrate technical implementation with business outcomes. I have trained more than 50,000 professionals worldwide on AI, leadership, and future skills and regularly advise organizations on enterprise AI capability building. My current research focuses on AI, neuroscience, and human behavior, helping organizations design AI systems that improve human intelligence rather than replace it. I believe successful AI transformation is fundamentally a people transformation supported by technology, governance, and continuous learning.
Q2. Based on your experience with Model Context Protocols (MCPs) and Glean, what are the most common unpredicted points of failure or data latency bottlenecks during real-time …
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