Vince Lynch is the CEO of IV.AI and serves on the advisory board for The World Ethical Data Forum, AI LA, Othelia, and Heard.
Over his 12-year career in the AI space, and work with IV.AI he has helped create scalable AI products with Netflix, Uber, Samsung, Disney, Walmart, Capital One, Est√©e Lauder, among many other businesses, and was named in the UN’s AI 100 for his work on disinformation and misinformation.
Lynch was the host of The AI Review and has been featured in numerous publications, including Wired, The Washington Post, NYT, CNBC, CNN, and BBC, discussing the value of NLP, LLMs, and the structures we can build to balance bias with generative model performance.
AI is a big, weird, complicated chunk of technology made up of algorithms that learn by analyzing: What we think (via text) and what we see (via computer vision).
Because the data that makes AI ‘smart’ is either created by us or observed in our natural habitat, it’s also very easy to understand, if you look at it the right way.
From agentic AI and driving high-quality results from agents, to foundational models that manage anomalies and hold systems together.
A journalist, an AI lawyer, a PwC partner, and an AI startup founder walk into Advertising Week – and cut through the noise.
Everyone’s talking about AI, but most are saying the same things. So what’s being missed, what’s being ignored, and what’s actually worth your attention?
For this session, IV.AI used its own technology to analyze how more than 8,000 AI companies describe themselves online – uncovering which buzzwords dominate (like “agentic” and “autonomous”), what they claim to do, and how those narratives compare to what the technology truly delivers. The result is a revealing snapshot of an industry caught between promise and performance.
Join our panel of experts as they dissect the data, demystify the hype, and explore what it all means for brands, marketers, and creators navigating AI adoption, regulation, and IP protection.
