Artificial Intelligence (AI) is rapidly transforming laboratory operations—from intelligent automation to predictive analytics and anomaly detection. But no matter how powerful the algorithms or innovative the applications, AI's effectiveness within a Laboratory Information Management System (LIMS) ultimately hinges on one critical factor: data quality. More specifically, structured, robust data. As organizations look to unlock the potential of AI in the lab, it's important to understand that success doesn't begin with the algorithm. It begins with the integrity, structure, and usability of the data your LIMS collects and maintains.

On May 22, 2024, Tech Forum’s AI-in-DE event took place at the Theatre N in Wilmington, Delaware, gathering experts and enthusiasts from both global and local organizations to discuss the transformative potential of artificial intelligence. The event attracted a diverse audience, including global CEOs, government leaders, students, and professionals involved in technology initiatives worldwide. While the event was local, the insights and innovations discussed have far-reaching implications that resonate well beyond Delaware.