The Track
A Section Blog

Warmly CEO: “Do 30% more with AI, or you’re underperforming”

Our Guide to Building Enterprise AI Applications
Every company needs to be thinking about where AI slots into their product or service, but all the noise and hype makes it hard to determine what a valuable vs. novel use case looks like. Machine & Partners’ Ed Ortega is sharing 2 frameworks to narrow down your laundry list of AI ideas.

How we used AI to improve course quality by 20%
One common misperception about AI is that it’s only good for making processes quicker. Education Product Lead, Kyra Atekwana, shared how it also improved our content quality by 20%.

Perplexity AI: What You Need to Know
Perplexity doesn't get as much air time as other AI tools, but its features have the potential to change how you work.

How a Bayer CFO is thinking about AI ROI
Your CFO will want to see your plan for proving ROI before they greenlight your AI initiatives. But what we learned from Bayer CFO, Florian Zirnstein, is that not all CFOs need to see hard numbers to measure success.

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.
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What is Web3 (and why should I care)?
Everything you need to know to talk about Web3 at your next cocktail hour.

Warmly CEO: “Do 30% more with AI, or you’re underperforming”
We’ve seen a lot of bold announcements and leaked AI manifestos recently painting a future of clear, AI-first leadership. We sat down with Warmly’s CEO, Max Greenwald, to talk about his own AI mandate: 30% growth from every employee by the end of the year.

Is Deep Research worth $200 a month?
With new AI tools coming out all the time, it’s hard to know which ones are worth investing in. So here’s our lead AI consultant’s framework for whether you should shell out for Deep Research or not.