The Track
A Section Blog

7 hard-won lessons from deploying AI at scale

The biggest lessons from Tinder’s Matchmaker feature
We're diving into the product strategy behind Matchmaker, a new feature from Tinder that lets you share your potential matches with friends and family. Read on for our take on why this development is a product engagement win.

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.

10 ways to get your team to move faster on AI
If you’re a leader and you believe in AI, you’re probably facing a challenge in getting your whole team to embrace AI. Learn 10 ways to get your team excited about AI, from Section's CEO Greg Shove.

3 proven ways to get customers to share your product
Here’s a simple fact about human nature: The better something makes someone look, the more likely they are to share it.
You probably noticed this on your Instagram feed at the end of last year, when a metric ton of your friends shared their Spotify Wrapped playlist.
What makes sharing the Spotify Wrapped playlist so irresistible?

4 proven business strategies from NYU Stern Prof. Scott Galloway
Growing a business can be rough. Even after you’ve drafted a masterful business plan and secured enough capital to see it to fruition, you’re still facing an uphill battle.
In fact, 65 percent of businesses fail within their first 10 years.
So how do you beat the odds? You can start by leveraging these four winning concepts NYU Stern Professor Scott Galloway lays out in his upcoming Business Strategy Sprint.
We’ll break them down.

Why most organizations aren’t ready to deploy AI
In September, we re-ran our AI Proficiency Survey to over 5,000 knowledge workers across the US, UK, and Canada. Our biggest takeaway: The knowledge workforce is vastly unprepared for an AI-augmented future.

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.