The Track
A Section Blog
Most leaders are thinking about AI all wrong
AI Agents Explained: The clear, no-hype definition
“Agents” have become one of the biggest hyped and most misused terms in AI. So here’s the real definition from someone who builds AI solutions for a living.
There’s plenty of AI ROI - if you’re willing to work for it
A theme emerged in the chat of this year's AI:ROI Conference: 11 experts shared their value-adding AI strategies but people were just looking for magic formulas. Here were the biggest insights we think they overlooked.
Is AI good enough to lay off your engineers?
Are AI coding tools good enough to replace humans? Here’s the verdict from a founder who had to make that choice.
How to hire AI power users
If you want an AI-first team, you need to hire AI-first people. But, like critical thinking, this is not a skill you can suss out with scenario-based questions – you need to see it in action. Here’s how we do it at Section.
How should your business use generative AI?
Learn how to implement generative AI at your business, depending on your customer readiness, stakeholder buy-in, and data access.
How Squishmallows became the top-selling toy of 2022
What do Lady Gaga, Warren Buffett, and your eight-year-old nephew have in common? They all collect Squishmallows.
But if you’re not a collector, you might be scratching your head and thinking, “Why are these run-of-the-mill stuffed animals so popular?”
In this post, we dive into how the viral brand was able to break $100M in sales with a great marketing strategy (using lessons from Scott Galloway, Marcus Collins, and more).
AI’s progress may be holding your team back
On paper, the rapid release of new AI models and features looks like a win for knowledge workers. In reality, teams are drowning in AI overwhelm. Here’s how leaders can help them scale an ever-steeper learning curve.
How to drive AI adoption at scale
If you missed Olya Taran’s session at The AI Strategy Summit, you missed one of the most practical frameworks of the day on one of the biggest problems leaders still face: Getting widespread AI adoption. We’re laying it out for you.
