AI and AI-driven DOE are finally being used in real-time at the bench by chemists and materials scientists, creating a dramatic leap forward from a productivity perspective.
- Explore your problem space holistically, while still creating the most efficient test plans possible.
- Leverage formulation recommendations with high predictive accuracy of technical and functional performance targets.
- Do all this without a statistics or data science degree. Once deployed, the business benefits of AI are tremendous. It is reducing product development timelines, increasing market responsiveness, and accelerating time to revenue. The presentation will conclude with two case studies, so you can see examples of actual problems and how they were addressed.
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