The Track
A Section Blog
Can you build a team of just AI tools?
Want to build the next Airbnb? 4 steps to get started
Airbnb changed the way we travel without purchasing any hotels. Uber made it easier to get around without amassing their own fleet. And DoorDash took care of breakfast without cracking a single egg.
The common thread between these companies is that they’re platform businesses. Rather than selling products directly, they’re providing a platform that conveniently connects sellers and buyers.
How do you follow in their footsteps? Here are four steps that can help you build a platform of your own.
Why we rebranded (with a minimal amount of yogababble)
Let's skip the glossy merch shots and talk about the actual process of rebranding your company.
The financial statement every leader should understand (and how to analyze it)
Analyzing financials doesn't have to be scary. We break down the P&L statement in an easy-to-grasp guide you'll want to bookmark.
How to build a scorecard to evaluate your well-being
New year, new you? Use Pedro Zuloaga's scorecard to evaluate your life and set measurable goals for improvement in 2023.
Is AI the end of Saas?
Right now, I’m sure you can’t imagine life without your CRM or CMS. Edmundo Ortega bets you won’t be able to imagine life with one as AI continues to evolve.
AI could be the end of fast fashion
The retail industry is fraught with waste and sunk costs. Can AI fix that? Diarra Bousso is proof that it can.
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.
