Industrial organizations are told repeatedly: Before taking on an industrial AI project, their data must be ready. It needs structure, quality, and governance.

This webinar will not tell you that good data isn’t better than bad data. But it will explore where that line is drawn and what it takes to overcome it. Industry veteran JW Blackman, owner of 3DB Vibration and former Chevron reliability leader with over 20 years of experience, has joined forces with Cody Berra, UptimeAI Senior Solution Consultant to answer questions like:

• What if your bad data were only a few inferences or judgement calls away from becoming good data?
• What if it didn’t take months or years of foundational data management projects to start realizing value from the data you have today?
• What if just getting started will help uncover the problems you didn’t even know existed with your data?

You won’t grow margins while waiting for perfect data. You will grow them by deploying proven, purpose-built AI systems designed to solve real operational problems.

You will grow them when you amplify your SME decision capacity by factors of 10-100X. And you will uncover additional incomplete data along the way, which the agents will learn to overcome the same way your experts have worked with incomplete data for decades.