The Track
A Section Blog
Is AI good enough to lay off your engineers?
Copilot for Microsoft 365: What You Need to Know
Microsoft Copilot is the LLM of choice for 23% of companies, so how good are the new features of Copilot for Microsoft 365? Our AI expert's review.
Exploring AI in Marketing Examples
The marketing applications for AI seem limitless - but let's breakdown a few standout examples.
Meet the professor: Ashley Gross from Get Promoted With AI
Meet one of Section's favorite professors: The Prompt Community's Ashley Gross. Every lecture she gives gets glowing reviews – here's why.
Apple Intelligence is the start of consumer AI
Apple announced Apple Intelligence this week marking the beginning of AI's consumer era – AI everywhere: Invisible, accessible, and making our lives better.
How to know if NFTs are right for your business
Pop quiz. When you hear the word NFT, do you think:
💪 I know exactly what an NFT is and how to use it for my business
🤔 I think I understand what NFTs are, but I have no clue if they’re relevant to me
🤢 Argh! I should know what NFTs are, but thinking about them makes my head hurt
If you answered the latter two options, you’re not alone. Don’t worry – we sat down with NYU Stern Professor Sabrina Howell to simplify it for you.
Self-assessment: Does your team trust you?
I’m sure you’ve had a manager you didn’t trust.
Maybe that manager said she valued your time – but then canceled your 1:1 at the last minute because she just had to run out and get a smoothie.
Maybe he called you out in front of the team for a mistake he made. (Truly an unforgivable offense).
Whatever it was, you know that once trust is lost, it’s hard to get back...
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.
