The Track
A Section Blog
Yes, you will lose your job to AI
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.
5 steps to solve the tough problem in front of you
The ability to solve tough problems isn’t an innate talent or a magic act – it’s a process. Learn a step-by-step framework to break down problems and solve them in a data-driven way.
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.
Sponsor your direct reports, don’t just mentor them
Your team needs both mentorship and sponsorship to thrive. We'll unpack the difference between a mentor and sponsor, and share DEI expert Mita Mallick's guidance on why both roles are essential.
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.
