Why Generalist AI Fails in Enterprise - Sandeep Ramesh (CalvinBall Technologies) скачать в хорошем качестве

Why Generalist AI Fails in Enterprise - Sandeep Ramesh (CalvinBall Technologies)

Why do billion-dollar consumer brands lose market share to small insurgents despite having access to more data? Discover how fusing human expertise with vertical AI solves the critical "data-to-decision" bottleneck. As consumer behavior becomes exponentially complex, traditional generalist models like ChatGPT struggle with the accuracy required for enterprise financial decisions. Sandeep, Founder of CalvinBall Technologies and former Unilever/Google executive, explains why the future belongs to "Vertical AI" equipped with a dedicated expertise layer. We dive into the reality of AI adoption timelines, the risks of hallucinations in business, and why data security demands more than just a wrapper around an LLM. Generalist vs. Vertical AI: Why generic models fail at specific enterprise tasks. The "Expertise Layer": How to eliminate hallucinations in business data. The Adoption Reality: Why full enterprise AI integration is a 15-20 year journey. Global Strategy: Why a US-based founder is moving HQ to London. Buy vs. Build: The challenges of building internal AI teams in non-tech companies. About the Guest: Sandeep is the Founder of CalvinBall Technologies, an AI super-agent for consumer brands, bringing deep industry experience from his time at Unilever India and Google. About Aulium: Aulium is a video show dedicated to Innovation and Private Capital. Hosts Thomas Viguier and Markus Perkumas interview industry leaders to uncover the mechanics of European tech ecosystems, M&A strategies, and the future of investing. Connect with us: Follow Aulium on LinkedIn:   / aulium   Thomas Viguier:   / tviguier   Markus Perkumas:   / markusperkumas   #privatecapital #innovation #ArtificialIntelligence #aulium #VerticalAI