The Track
A Section Blog
Yes, you will lose your job to AI
5 questions every great manager asks their team
Stop asking, "When will I get this by?" and start asking the five questions that matter for coaching great teams.
Having morale issues? Try telling better stories
Unhappy workers have usually lost faith in their leadership's story. Here's how to tell a better one.
_.webp)
What is Web3 (and why should I care)?
Everything you need to know to talk about Web3 at your next cocktail hour.
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.
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.
Mo Gawdat: AI can make us much happier, or much lonelier
Former CBO of Google X, Mo Gawdat, answers the question on everyone's mind: Will AI will make our lives better or worse? The answer is yes.
How the Royal Family’s AI-powered mental health agent overcame privacy concerns
Most orgs feel unready for the challenges that Gen AI brings to risk management. Yet many AI applications will have to navigate the line between user value and user privacy. So we sat down with specialist, Brian Kolodny, to understand how he traversed matters of privacy when building a mental health bot for the Royal Family’s foundation.
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.
