Building genuine expertise takes years. And in the age of AI, losing it can happen gradually and almost invisibly, through small delegations that each seem reasonable in isolation but add up to something significant over time.

In this episode, Blair Enns joins Dr Genevieve Hayes to explore how data professionals can use AI without compromising their hard-earned expertise and reputation.

You'll discover:

1. Why delegating to AI is always a trade-off [03:00]
2. The crucial difference between writing to communicate and writing to think [08:40]
3. Why you should orient yourself around the problems you solve [14:28]
4. How to decide which skills are worth protecting and which to let go [17:49]

Guest Bio

Blair Enns is the founder of Win Without Pitching, the leading authority on selling and pricing for expert advisors and practitioners. He is also the author of The Win Without Pitching Manifesto and The Four Conversations: a New Model for Selling Expertise, and is the co-host, with David C. Baker, of the podcast 2Bobs: Conversations on the Art of Creative Entrepreneurship.

Links

• The Experts' AI Manifesto
• Connect with Blair on LinkedIn
• Blair's website
• Connect with Genevieve on LinkedIn
• Be among the first to hear about the release of each new podcast episode by signing up HERE

AI misinformation is a new problem. Misleading data is not. Long before anyone had heard of a hallucination, organisations were making bad decisions based on cherry-picked statistics, misunderstood averages, and numbers that confirmed what decision-makers already wanted to believe.

In this Value Boost episode, Derek Gibson joins Dr Genevieve Hayes to explore how data professionals can help their stakeholders become better data sceptics and avoid being duped by misleading data long before it ever reaches an AI.

In this episode, you'll discover:
1. The timeless data traps that catch even experienced decision makers [01:56]
2. How to arm your stakeholders with the right questions to push back on data [07:57]
3. Why confirmation bias is the most dangerous data vulnerability in any organisation [09:20]
4. What it means when an analytics team is asked to confirm a decision rather than inform one [13:24]

Guest Bio

Derek Gibson is a decision scientist, analytics educator, and has recently wrapped up his long career in financial services at Wells Fargo. He serves on the Wake Forest University MS Business Analytics Advisory Board. He is also a co-author of Data Duped: How to Avoid Being Hoodwinked by Misinformation and author of the upcoming Data, AI, and the Noise: Searching for Truth in Information and Algorithms.

Links

• Connect with Derek on LinkedIn
• Derek's website
• Connect with Genevieve on LinkedIn
• Be among the first to hear about the release of each new podcast episode by signing up HERE

AI doesn't lie - at least, not intentionally. It just sounds completely confident while filling in the gaps with whatever seems most plausible. And in a world where AI outputs are increasingly being used to inform high-stakes decisions, the ability to spot what's wrong, before it reaches a stakeholder, is becoming one of the most important skills a data professional can have.

In this episode, Derek Gibson joins Dr Genevieve Hayes to share practical strategies for identifying unreliable AI outputs and building the defences necessary to keep AI-generated misinformation from reaching your stakeholders.

In this episode, you'll discover:

1. Why AI is not a truth tool and what that means for how you use it [03:21]
2. The red flags that signal an AI output shouldn't be trusted [12:21]
3. A simple prompting habit you can develop to reduce AI mistakes [16:13]
4. Why the skill of verifying AI outputs is one you need to build yourself [24:25]

Guest Bio

Derek Gibson is a decision scientist, analytics educator, and has recently wrapped up his long career in financial services at Wells Fargo. He serves on the Wake Forest University MS Business Analytics Advisory Board. He is also a co-author of Data Duped: How to Avoid Being Hoodwinked by Misinformation and author of the upcoming Data, AI, and the Noise: Searching for Truth in Information and Algorithms.

Links

• Connect with Derek on LinkedIn
• Derek's website
• Connect with Genevieve on LinkedIn
• Be among the first to hear about the release of each new podcast episode by signing up HERE