The Track
A Section Blog
Yes, you will lose your job to AI
4 data-driven tricks to win your customers’ hearts
For consistent sales, you need a long-term relationship. According to Google’s Neil Hoyne, It starts with a better conversation — and smarter questions.
The 10 essential business skills every person (or team) needs
I’m sure we’ve all had this thought over the course of our career: “I wish somebody could give me a playbook on how to be great at my job.”
Well, we’re here to tell you that being a great strategist isn’t a natural talent or a magic trick. It’s a list of critical skills that, when mastered, make you indispensable.
Do this exercise to get more meaning from your life
It's about pinning down your "ultimate why," according to Berkeley Haas professors Sahar Yousef and Lucas Miller.
4 steps to give a winning presentation (hint: sound like a human)
We all know what a great presentation sounds like. But going up there and delivering one ourselves? That's a different matter.
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.
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.
