In an era where AI is reshaping data science, the challenge of low success rates in data-driven projects persists, with studies indicating only a 20% success rate. This presentation delves into AI-driven ecosystem approaches as a transformative solution, emphasizing their potential to accelerate knowledge discovery and mitigate failure risks.

We begin by identifying common failure factors in data science projects, then we describe one version of this AI-driven ecosystem approach, to follow with various applications that implemented this approach, showcasing significant improvements in speed, quality, and risk mitigation in knowledge discovery.