Talking about data governance is (typically) not the topic that gets people jumping for joy. Rather, governances invoke "here comes the process monster" type responses. Yet this topic is critical, and considering Gen AI and advanced analytics, becoming more rewarding and, dare say it, fun?!? to undertake. Mathias Vercauteren has been bringing forward an enlightening and engaging way to kick start data governance efforts. In this episode, we explore Mathias’ journey towards creative and empowering workshops and collaboration methods, as well as the bumps along the road.

What is data product management and the associated concepts? How should we frame and think of this so we care successful? Dr. Elena Alikhachkina has been working in this area for a while, before we had recognized naming for data product thinking. She provides some amazing perspectives that will help you and your org adopt successful mindsets and patterns.

Coaching/mentoring has seemed more art than science. Data is everywhere to guide leaders and their teams, but not always accessible. And in today's remote and hybrid world, we have lost much of in the way human observations, one of the largest tools used by leaders to guide the next generation. In this episode, Colum discusses these challenges and how AI/ML can positively impact our ability to be better and more human leaders.

Emerging Leaders Series: We have a new sub-thread to our show wherein we talk with emerging thought, tech, or business leaders in data. Discover how they got to where they are, what's next, and who to watch out for! This first episode features Matt McGuinness of Buckland.

We talk with Eckerson Group's VP of Research Kevin Petrie on the research he is conducting on LLMs and Gen AI, and what he sees coming up that organizations should pay attention to in the coming months.

How do we better frame our data management challenges so IT and business can better align and pursue value? Data4Real CEO Julia Bardmesser walks us through practical advice based on real world data challenges and transformations.

There is so much talk on data quality, yet are we actually progressing? Do we have a good definition on data quality and how big or small the problem is? Chad Sanderson walks through his thinking on the topic and how he arrived at his focus on data product thinking as a path forward for the industry.