While there’s no denying that artificial intelligence has become the latest buzzword in product development, the hype exists for a reason.
With AI, we could:
develop our understanding of the cause-and-effect relationships between ingredients and technical or functional performance
facilitate assessments of material compatibility and manufacturability
speed up new and derivative product development
But what do applied science companies need to do to realize the promise of AI? What stands in the way of wider adoption? And how will it actually help their lab teams drive better research and product development outcomes?
If you’re working on AI — or if you’re interested in learning more about what it takes to transition your R&D into an AI-ready data management structure — you don’t want to miss this webinar.