The Track
A Section Blog
Is AI good enough to lay off your engineers?
How should your business use generative AI?
Learn how to implement generative AI at your business, depending on your customer readiness, stakeholder buy-in, and data access.
How Squishmallows became the top-selling toy of 2022
What do Lady Gaga, Warren Buffett, and your eight-year-old nephew have in common? They all collect Squishmallows.
But if you’re not a collector, you might be scratching your head and thinking, “Why are these run-of-the-mill stuffed animals so popular?”
In this post, we dive into how the viral brand was able to break $100M in sales with a great marketing strategy (using lessons from Scott Galloway, Marcus Collins, and more).
5 insights on learning from Section's Annual Outcomes Report
We surveyed your employees on the blockers that stand in the way of learning. Read our post to learn how to engage them in learning and prove the ROI of your programs.
Why did HBO Max rebrand to Max? 4 insights
The internet responded to the HBO Max rebrand with an overwhelming, "Why?" So we dug in to find out the strategy behind their confusing move.
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Why we’re opening up unlimited access to sprints
I was talking recently with a Section4 student, and I let him know that we would soon be giving members access to all our sprints for $995, about 1% the annual tuition of an MBA.
“That’s incredible,” he said. “I’m so excited – my mind is blown.”
Then he paused.
“Why are you doing that?”, which is a polite way of asking “What’s the catch?”
There isn’t one. And here’s the answer as to why.
Will your big idea work? 3 ways to manage risk
Building a new product is nerve-racking, especially if you’re taking a shot at something that’s never been tried before.
Will it end up being a YouTube or a Quibi? An iPod or a Zune? If it fails, will you ever be able to bounce back?
Luckily, you can build confidence by reducing risk. That’s where product experimentation comes in.
AI’s progress may be holding your team back
On paper, the rapid release of new AI models and features looks like a win for knowledge workers. In reality, teams are drowning in AI overwhelm. Here’s how leaders can help them scale an ever-steeper learning curve.
How to drive AI adoption at scale
If you missed Olya Taran’s session at The AI Strategy Summit, you missed one of the most practical frameworks of the day on one of the biggest problems leaders still face: Getting widespread AI adoption. We’re laying it out for you.
