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The podcast discusses the concept of being seduced by technology and its impact on projects, client interactions, and consultants. The conversation begins with light-hearted remarks about a recent haircut before diving into the main topic.

The first example given is an OLAP Cube implementation from 15 years ago that failed because it didn't address a real business need. This leads to a discussion on how businesses and consultants alike are often drawn to new technologies like machine learning and artificial intelligence, even when they don't solve actual business problems.

The speakers highlight that the desire for new technology is driven by various motivations: businesses wanting to boast about their cutting-edge tech, consultants seeking to enhance their CVs, and IT professionals looking to upskill. They also touch on the hope that new technology will magically solve business issues, often spurred by vendor promises.

The conversation then shifts to the importance of addressing foundational issues such as data quality and governance before implementing advanced technologies. They emphasize learning from failed projects to improve future implementations and stress the need for honest conversations with clients about the limitations and prerequisites of new technologies.

The speakers agree that foundational work can run parallel to more glamorous projects, and it's crucial to set realistic expectations and prioritize essential groundwork for long-term success. They conclude by agreeing to discuss BI foundational levels in the next episode.

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