Optimization technology and AI in the real world: Operational

Consider this statistic from Enterprise Strategy Group (ESG): "60 percent of respondents indicate that improving operational efficiency is one of the most important objectives their organization expects to achieve from their AI/ML (machine learning) investments." This statistic was a result of looking at the top line data from ESG research that combines responses of enterprise and midmarket organizations. Currently, many companies still have AI and ML firmly in the realm of IT, but the ESG research reveals that AI and ML are becoming more strategic to businesses. Key performance indicators (KPIs) owned by lines of business are cited as one of the top objectives for measuring the effectiveness of AI and ML. It is in this context that we would like to shine the spotlight on the role of optimization technology in supplementing ML to help businesses drive optimal business outcomes through better decisions.