The Track
A Section Blog
Is AI good enough to lay off your engineers?
How Cascade took on its biggest competitor: the sink
Want to attack your real competition instead of the company down the road no one knows about? Learn how Cascade depositioned their number one competitor: the sink.
4 steps to attracting and keeping the best talent in business (even if you're not Google)
You don't need to be a big tech firm to attract, recruit, and retain the best talent. Here's our four-step process for doing it right.
5 research-backed secrets to get employees to engage in learning
L&D faces an age-old challenge: How the heck do you get employees to prioritize and engage in learning? We've been focused on learning engagement for three years. Here's what we've learned.
How did Twitter's blue check mark go from status symbol to total embarrassment?
In less than six months, Twitter's blue check mark "verification" has gone from a status symbol for the rich and famous to a warning sign associated with Elon fanboys and trolls. We unpack what happened, using lessons in brand strategy and viral growth.
How to customize ChatGPT to your needs
Working with AI right now is like working with a brand new coworker. They don’t get your processes or your way of thinking. You have to give them a lot of context, and even when you do, the results aren’t exactly right. While many people give up, we promise it's worth it to train your AI tool to be your best possible copilot.
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.
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.
