The Track
A Section Blog
EY's Global Head of AI: Don’t rush to prove AI ROI
The VC perspective on successful AI startups
You might have a cool idea for an AI startup, but is it venture backable? General Catalyst's Christopher Kauffman will tell you.
We introduced our first AI avatar professor. Here’s why.
Earlier this month, we wrapped our very first AI avatar-led course. Here's the nitty-gritty calculus behind our decision to try avatars as instructors.
Meet your professor: Apple’s Amit Rawal from AI for Data Analysis
We sat down with Apple’s Amit Rawal to ask him all the things you should know before you take his course – including a sneak peek into his data analysis framework.
Pi had a million users. So why did Inflection just implode (and take Pi with it)?
Microsoft just cannibalized a company it was a lead investor in and took its chatbot down with it. Here's what that means for other AI startups.
Free trial vs. freemium: Which product-led growth tactic is right for you?
Have you ever set up a free trial to test drive a product before you bought it? We bet you have (and you might have even forgotten to cancel it after the week was up – oops).
In our workshop Driving Product-Led Growth, industry guru Wes Bush teaches you to use “try before you buy” tactics – like free trials, freemium, and demo modes – to capture customers long before they swipe their credit card.
Here, with Wes’ help, we share an easy-to-use framework for picking the tactic that’s right for your business.
How I use Product Strategy frameworks to win client business
How do you make your product stand out in a sea of competitors? Product Strategy alum Justin Lee shares his approach.
Why shadow AI is probably happening in your company
We surveyed over 5,000 knowledge workers in the second half of 2024 on AI knowledge, skill, and usage. One of the most troubling takeaways: AI use is happening, whether your company sanctions it or not, and the implications are huge.
Why most organizations aren’t ready to deploy AI
In September, we re-ran our AI Proficiency Survey to over 5,000 knowledge workers across the US, UK, and Canada. Our biggest takeaway: The knowledge workforce is vastly unprepared for an AI-augmented future.
