Smart Data for Smart Industrials: Preparing Your Data and Company for AI/ML

If data is the new oil, then companies need to learn not just how to extract it, but how to refine it.

This presentation will delve into the critical role of data strategy and data management as the

foundational pillars for enabling impactful analytics. Hear the play-by-play of how an understaffed IT

team at a manufacturing SME tackled the challenges of poor data quality, suboptimal architecture,

and entrenched mindsets to leverage data for innovative AI/ML projects. Explore how to develop

robust governance, build models, and bridge the gap between technical and business to transform

raw data into prescriptive solutions that foster a culture of strategic decision-making.

According to RAND, 80% of AI projects fail, costing the U.S. economy upwards of $3 trillion a year. We

were among those statistics until we made several key changes. This presentation will include quick

pivots companies can implement today for immediate improvements in AI readiness as well as

recommendations for a data strategy roadmap from a company that learned the hard way.