AI is everywhere, but how well do we really understand its capabilities and limitations? In this episode, Alex Higgs sits down with Ignition Data CEO, Julien Redmond, to break down the strengths and weaknesses of AI in business, including how large language models (LLMs) process information, the risks of AI bias, and why human expertise remains essential. We also dive into the environmental and financial costs of AI adoption and how businesses can prepare for AI integration.

🧠 What you’ll learn:

00:00 - Introduction

02:15 - How AI models process information

06:42 - The limitations of AI-generated insights

11:30 - Why human oversight is still crucial

15:55 - AI bias and misinformation risks

21:10 - The environmental and financial cost of AI

26:45 - Practical steps for businesses adopting AI

32:20 - The future of AI in business

🔗 Links & Resources:

🌍 Learn more about Ignition Data:

👉 Explore our training courses to level up your data management skills: https://bit.ly/4eNkczq

👉 Download our free Data Vault resources: https://bit.ly/4f9AYs9

👉 Book a free consultation with our team: https://bit.ly/3BT6VXC

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