The Track
A Section Blog
100 POVs on AI from the world’s leading experts
5 steps to grow customer lifetime customer value
Your customer relationship ending after the first transaction is similar to a romantic relationship ending after the first date: not good.
Every leader should have an operating manual. Here are 5 steps to build yours.
The things you do might be intuitive to you – but if they confuse your team, you're in trouble. Here's how to build an operating manual to make your decisions clear to everyone.
Want to be a better investor? Adopt these three mindsets
Think like an artist, an analyst, and a skeptic to make better decisions.
How to find your brand's purpose
Developing a brand purpose is a fundamental step for any company. Justin Lee shares how he uses the Section frameworks to uncover why his business exists.
How to customize ChatGPT to your needs
Working with AI right now is like working with a brand new coworker. They don’t get your processes or your way of thinking. You have to give them a lot of context, and even when you do, the results aren’t exactly right. While many people give up, we promise it's worth it to train your AI tool to be your best possible copilot.
How to make your competitors look bad without even mentioning them
Laddering (as defined by Scott Galloway) means highlighting your strengths in a way that inherently points out your competitor’s weaknesses. We’ll explain how to use laddering to deposition your competitors, using Writer, one of our favorite AI case studies right now.
How the Royal Family’s AI-powered mental health agent overcame privacy concerns
Most orgs feel unready for the challenges that Gen AI brings to risk management. Yet many AI applications will have to navigate the line between user value and user privacy. So we sat down with specialist, Brian Kolodny, to understand how he traversed matters of privacy when building a mental health bot for the Royal Family’s foundation.
Our Guide to Building Enterprise AI Applications
Every company needs to be thinking about where AI slots into their product or service, but all the noise and hype makes it hard to determine what a valuable vs. novel use case looks like. Machine & Partners’ Ed Ortega is sharing 2 frameworks to narrow down your laundry list of AI ideas.
