Venue: April 23-25, 2024 Hyatt Regency Hotel, New Brunswick, NJ Presented by: Brian Rohrback, Ph.D., MBA, President, Infometrix, Inc. Abstract: The use of multivariate statistics, whether termed chemometrics or machine learning or (fill in the blank), is critical for industry to move from human-centered processing to more automated, objectively reliable processes. In the laboratory world, we seek to discover new routes for solving problems that will give us better solutions than previous methods. And this largely university-based effort is critical for enabling improvements in product manufacturing and the quality control process that accompanies it. But, given academia’s limited access to commercial application samples, most chemometrics publications deal only with the method development side of a given problem. If we are going to benefit a manufacturing organization, an industry, or especially society, the emphasis needs to be on the shift from this laboratory origin to a solid process implementation. Anything useful we devise must ultimately get used; if we fail to integrate proven technology into the day-to-day, the development process is simply an expense. The experience through the now five decades of implementing multivariate solutions has identified some steps, some barriers, and some low-hanging fruit. How do we succeed in pushing new technology the last mile? Register at APACT 2024.