Needs assessments used to be enough. Ask yourself, "Do I need a LIMS or an ELN?" Then pick a system and move on. That's no longer how digital transformation works in the modern lab.

As labs race to adopt AI, a critical truth is emerging: AI is only as effective as the data infrastructure behind it. Success now depends on treating data—not any single system—as the center of your informatics strategy.

This webinar breaks down what that shift looks like in practice. We'll define what a laboratory informatics ecosystem really is, show how data flow through that ecosystem fuels AI efforts, and walk through how to build a technical framework that's balanced and scalable—without falling into the twin traps of over engineering or restrictive architecture. You'll leave with a practical way to separate your lab's high-value needs from its costly wants, and a clear first step into AI readiness.