Your AI Is Only as Good as Your Inputs

Augustė Užuotaitė of Thermo Fisher Scientific makes the case that the real innovation ahead is not just smarter software or technology, but the inputs that feed AI-driven workflows. She emphasizes the need for robust assay design, reagent chemistry, and consumables built specifically for automated systems.

These components should be stable at room temperature, tolerant to inhibitors, and consistent in multiplex performance—qualities that enable reliable automation and, ultimately, more trustworthy AI outputs.