The Track
A Section Blog
Most leaders are thinking about AI all wrong
Most people are terrible at using AI [new data]
ICYMI, we released our latest report on the state of AI proficiency in the workforce this week. Greg is breaking down the key findings, and what they mean for you as an individual or a leader.
Which LLM is right for your privacy needs?
60% of the knowledge workforce limits their AI use because they’re worried about data privacy and security, according to our latest AI Proficiency Report. So we put together your definitive guide to LLM privacy.
100 POVs on AI from the world’s leading experts
We spoken to dozens of AI leaders, experts, and builders - here are their 100 best ideas.
SMB leaders have an AI adoption problem
In public, they’re touting AI proficiency. In private, they’re not sure what generative AI even is.
How we used AI to improve course quality by 20%
One common misperception about AI is that it’s only good for making processes quicker. Education Product Lead, Kyra Atekwana, shared how it also improved our content quality by 20%.
How a Bayer CFO is thinking about AI ROI
Your CFO will want to see your plan for proving ROI before they greenlight your AI initiatives. But what we learned from Bayer CFO, Florian Zirnstein, is that not all CFOs need to see hard numbers to measure success.
Most leaders are thinking about AI all wrong
2026 is 60 short days away, so here’s the wake up call you need: you’re still thinking about AI through the lens of software, and the survival of your company depends on you shifting that mindset.
Squishy vs. hard ROI: Why leaders need both
One of the hardest parts of AI ROI is figuring out how to report qualitative wins to execs who want quantitative reports. At our AI:ROI Conference, Michael Domanic shared the framework for approaching these two disparate kinds of ROI.
