AI has the potential to dramatically expand what data scientists can do. But used without care, it also has the potential to quietly erode the expertise that makes them valuable in the first place.

In this Value Boost episode, Tim Dietrich joins Dr Genevieve Hayes to explore how to stay on the right side of that line and what mindful AI use actually looks like in practice.

In this episode, you'll discover:

1. Why looking for problems to solve with AI is a warning sign [02:05]
2. What happens when you use AI before you have the expertise to direct it [05:51]
3. Why your AI interactions should be conversations rather than one-way requests [06:54]
4. How to use AI to become a better thinker not just a faster worker [08:40]

Guest Bio

Tim Dietrich is an independent software developer with over 25 years’ experience building business software for organisations ranging from startups to Fortune 50 companies, including Siemens and the Library of Congress. Recently, he has become known for building a virtual team of AI specialists that allows him to operate with the output and breadth of a small firm, while remaining a team of one.

Links

• Connect with Tim on LinkedIn
• Tim's website
• Connect with Genevieve on LinkedIn
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