For years, pundits and prognosticators have talked enthusiastically about the potential for artificial intelligence (AI) to usher in a myriad of benefits. At the grandest level, predictive chemistry should accelerate fundamental discovery. At a practical level, it should speed new and derivative product development, and facilitate assessments of material compatibility and manufacturability. In general, predictive chemistry should speed our understanding of cause-and-effect relationships between ingredients, and technical and functional performance or structure-property relationships.

The potential value is everywhere, and companies across the globe have added “pursue AI” or “technology innovation” to their corporate strategies. Chief Innovation Officers and teams of data scientists are already working to bring this vision to life. But it’s going more slowly, and with spottier results, than many had hoped. So, is predictive chemistry possible? Why is it taking so long to turn the vision into reality? And what can companies be doing today to accelerate their AI strategies?

In this presentation, Alchemy’s CEO and co-founder, Sasha Novakovich, will delve into: Why predictive chemistry will be a game changer for our industry; the factors that make it so hard to actualize; and an actionable roadmap to make predictive chemistry a reality.

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