While artificial intelligence promises to revolutionize scientific research, the vast majority of AI projects fail in production. This Tech Talk examines the critical infrastructure challenges that sabotage AI initiatives in life sciences organizations before they even begin.

We'll explore why file and Excel-based workflows still dominate research, why relational schemas are too brittle for evolving needs in life sciences. The session will also address the multimodal data challenge—integrating diverse data types from genomics, imaging, and clinical records—and why manual processes remain commonplace even in sophisticated research organizations.

Drawing from real-world examples, we'll examine emerging solutions that bridge the gap between flexibility and structure, and why solving these infrastructure problems represents both a critical vulnerability and a competitive opportunity for organizations.