Podcast

In this episode of the Industrial Data Quality Podcast, I talk with with John Walmsley of Aluminate Technologies, about what AI actually does in heavy industry today, cutting through the hype to explore real applications and challenges. John brings experience from semiconductors to medical devices to AI in heavy industry. The conversation covers three levels of industrial AI: continuous monitoring, multi-sensor analysis, and autonomous optimization. Using aluminum industry examples, we explore why AI projects get stuck in pilot phase and what it takes to scale solutions enterprise-wide. ...

I’m excited to share the latest episode of the Industrial Data Podcast featuring Lonnie Bowling, founder of Diemus Consulting. We explore the fascinating evolution of OT data integration, from basic SCADA trend-viewing to today’s cloud-based AI analytics. Lonnie shares how historians like OSIsoft PI transformed from simple tools to enterprise-wide platforms, while discussing the ongoing industry consolidation (AVEVA acquisition of OSIsoft) reshaping the landscape. Despite technological advances, we’re wrestling with old problems: the challenges of proprietary formats, inconsistent naming conventions, and questionable data quality persist as companies migrate to platforms like Databricks for advanced analytics. ...

Data good enough for operations is not necessarily analytics-ready. Exactly one month ago I published the first episode of my Industrial Data Quality Podcast. In my opinion, a topic of critical importance that is all too often overlooked, especially with all the buzz around AI. In the most recent episode, I had the pleasure of inviting guest speaker Thomas Dhollander, co-founder of Timeseer.AI. Together we explored critical challenges in industrial time series data reliability and observability. ...

Today I published a 30 minute talk about my career in data thus far. I’ve made many mistakes along the way, but learned a tonne from them. Although I made many jumps over the years, I’m happy I always stuck around the central theme of data. Perhaps my talk can give you some inspiration if you feel stuck? Topics include: How I ended up in data after graduating in Materials Science and working in aluminium. How I started freelancing, but ended up employed again. Why I decided to freelance again What I did better the second time. Why I’m focusing on Databricks in the future. Listen to the podcast here: ...

Welcome to my podcast! In this very first episode I introduce the topics of this podcast and explain my background in data. Follow the show About Denis Gontcharov