The Track
A Section Blog
Yes, you will lose your job to AI
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.
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.
What does the OpenAI implosion mean for you?
Tens of thousands of GPT developers (and other OpenAI true believers) watched in horror over the weekend, asking themselves: “Is my commitment to OpenAI and their technology going to turn out to be a massive mistake?” Section CEO Greg Shove doesn't think so. Read his take on what’s happening at OpenAI and what it means for you.
2 simple data skills that every single person should know
The ability to quickly clean and analyze a data set will make you better at every part of your job. But it’s easy to go a long time without learning these skills. (And if you’re far along in your career, it can feel embarrassing to ask for help!). That’s why we're sharing our quick guide on two basic data skills everyone should have.
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.
