The Track
A Section Blog

Can you build a team of just AI tools?

Google Gemini vs. Microsoft Copilot: Which is right for your business?
Gemini for Google Workspace and Copilot for Microsoft 365 both promise to enhance productivity. But which one gives you the most bang for your buck?

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.

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.

Squishy vs. hard ROI: Why leaders need both
One of the hardest parts of AI ROI is figuring out how to report qualitative wins to execs who want quantitative reports. At our AI:ROI Conference, Michael Domanic shared the framework for approaching these two disparate kinds of ROI.

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.



