"Data quality was the number one obstacle to AI success […]. It's like Groundhog Day: the biggest problem in data warehousing was data quality […] and now in AI it's still data quality."

In this episode, Carsten Bange discusses with Kevin Petrie from BARC the critical aspects of data preparation for successful AI initiatives. From data quality and governance to new architectural requirements -- a comprehensive analysis of current challenges and solution approaches for data-driven AI projects.

Enjoy this episode!

More on the mentioned Studies:

Preparing and Delivering Data for AI -- Adoption Trends, Requirements and Best Practices

Optimizing Your Architecture for AI Innovation

Listen to the episode with Merv & Shawn here.

Kevin Petrie on LinkedIn.

Carsten Bange on LinkedIn.

BARC on LinkedIn.

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