AI, the next frontier for formulating in CASE

 
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, AI 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, AI should facilitate our understanding of cause-and-effect relationships between ingredients and technical and functional performance or structure-property relationships. The potential is significant and companies across the globe have added "pursue AI" to their corporate strategy. 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, why is it taking so long to turn the AI promise into reality? And what can companies be doing today to accelerate their AI strategies? This presentation will cover: 1) Why AI will be a game changer for the coatings industry 2) The factors that make AI so hard to actualize 3) Provide an actionable roadmap to make AI a reality