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Explicit Measures Podcast

249: Jevon's Paradox & The Demand for Insights

Sep 12, 2023
The hosts discuss Jevon's Paradox and its impact on energy consumption. They also explore the increase in workload due to new technologies like Power BI and AI. The availability of data and efficient analysis leads to a higher demand for data-related tasks. They delve into the adoption and potential of Power BI, fabric, and AI tools, highlighting the significance of valuable insights from production data. The chapter concludes with a discussion on challenges in keeping up with technology and data governance.
38:52

Podcast summary created with Snipd AI

Quick takeaways

  • Jevon's Paradox highlights how increased efficiency in data analysis tools can lead to a higher demand for insights and reports, potentially causing challenges related to data pollution and governance.
  • The introduction of AI in data analysis brings efficiency in creating models and engineering data, but questions arise regarding the accuracy of AI-generated insights and the importance of maintaining a human element in decision-making.

Deep dives

Introduction to Javen's Paradox

Javen's Paradox, an example of a rebound effect, is discussed. It originated in the 19th century with coal engines becoming more efficient, which led to an increase in energy generation. The paradox highlights how expected gains from efficiency can be offset by changes in behavior and an increase in demand for the resource.

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