Cracking the Code: The Holy Grail of Data Combinations Behind AI Success

The market is flooded with messaging around AI and predictive capabilities for maintenance, quality, scheduling and even sustainability.  However, leading analyst firm Gartner still estimates an 80% failure rate in these projects. So what specific combinations of data- and from where- need to be present in order to be successful?  Rick Oppedisano, CEO of Delta Bravo Artificial Intelligence, exposes the “Holy Grail” of datasets used to drive success in predictive maintenance and predictive quality engagements with Rolls-Royce, Nucor Steel and Elkem Silicones- while also sharing how value can be created even if your data isn’t perfect.