Predictive AI Doesn't Compete with GenAI; It Fixes It!

The most ideal way to soften the AI bubble’s looming detonation would be to boost AI’s realized value. How? A new reliability layer that tames large language models. More often than not, LLM-based projects prove too unreliable to move from pilot to production. But predictive AI can realize genAI’s bold, often overzealous promise of autonomy – or at least a great deal of it. This is predictive AI's big moment.

In this presentation webinar, Eric Siegel, CEO at Gooder AI, will explore how to use predictive AI as a tool to increase the power and value of generative AI. He will explain how to assess the business impact of predictive AI, clarify the relationship between predictive, generative, and agentic AI, and make the case that mastering predictive methods is often the key to making genAI reliable enough to deploy in production.