The Track
A Section Blog
Most leaders are thinking about AI all wrong
Meet your professor: Apple’s Amit Rawal from AI for Data Analysis
We sat down with Apple’s Amit Rawal to ask him all the things you should know before you take his course – including a sneak peek into his data analysis framework.
Pi had a million users. So why did Inflection just implode (and take Pi with it)?
Microsoft just cannibalized a company it was a lead investor in and took its chatbot down with it. Here's what that means for other AI startups.
5 roles AI can play to make you more strategic
Roleplay these scenarios with AI to make yourself a more strategic decision maker, presenter, collaborator, and leader.
3 drills to teach your team AI, using AI
L&D might be dragging their feet on training your team on AI (we’ve seen it firsthand). So, use AI itself as your team coach.
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What is Web3 (and why should I care)?
Everything you need to know to talk about Web3 at your next cocktail hour.
The science-based secret to being more productive at work
Have you ever sat in a 9 a.m. meeting with your team and wondered why one person is jacked up on coffee and firing off ideas, and another person looks like they just woke up from a 100-year sleep?
You might think, “Well, the first person is just more productive. They’re good at their job, whereas Steve is a useless lump. Duh.”
But actually, it’s not that simple. These two people probably have different chronotypes – meaning they’re inclined to sleep, work, and recover at different times.
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.
