(110f) How the Start-Small Strategy Is Helping Chemical Companies Generate Millions in Savings and Drive a Sustainable Future

An estimated 60% - 80% of organizations fail to report significant business gains from AI. There are many reasons why AI fails to deliver on its promise, and the main reason is that companies start with problems that have too many organizational complexities, and that take too long to realize value. Instead, by starting small and targeting specific AI solutions that produce immediate business value, organizations can effectively take the first steps in their AI journeys while preparing their workforce for the more complex applications that unlock the full value of AI.

As part of this presentation, we’ll explore a case study where engineers at a chemical company did just that. They started with a smaller opportunity, addressed it to provide immediate benefits and build trust within the organization, and then applied those learnings to adjacent challenges and assets to improve the overall asset reliability, safety, and productivity at their production facility. By making AI solutions practical for engineers and operators from the beginning, the workforce was able to scale AI across over 20 assets and processes, resulting in nearly $20M/year in benefits. The presentation will include the implementation process learned from over hundred implementations of AI projects. The systematic process covers all the essential parts of successful AI implementations. Don’t make the mistakes of others, instead, learn how to start on the right foot and fast-track your AI journey to success.