Oceanside Perspective TM

In this week's LITE Talks, we dive into the real-world evolution of AI in business with Sean McCrary, Data Product Leader at Thermo Fisher Scientific. From the early hype of ChatGPT to building Gene.AI, McCrary shares how their journey moved from single-agent systems to modular, multi-agent architectures — enabling smarter, more collaborative problem-solving across the enterprise. Key Insights💡: 🤖AI isn’t plug-and-play, it’s plug, train, refine, repeat. From managing supply chains to translating code, AI still demands human oversight, strong data governance, and strategic focus to truly deliver value. 🎯 Success starts with targeted use cases- like Gene.AI tackling inventory issues, rather than chasing generic AI solutions. 🧑💻 AI can bridge the tech-business gap, translating complexity into clarity across teams. 🔎 Inspired by nature, multi-agent systems mimic slime mold behavior to solve complex problems collaboratively and more accurately. 🦾 Data quality and human context are non-negotiable. No AI model can thrive without them. The future of AI is human-informed, use-case-driven, and smarter together. It’s truly trial and error Watch now!