The Track
A Section Blog
How to hire AI power users
Meet your professor: Emerging tech and AI consultant, Elizabeth Shaw
Elizabeth Shaw has worked in emerging tech for nearly 25 years at companies including Gartner, Sephora, and Forrester. Now, she’s your new guest lecturer in Section’s AI Crash Course.
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.
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.
Yes, you will lose your job to AI
Greg's best advice for preserving your value.
AI agents are cool, but not for the reasons you’ve heard
You’ve seen articles and flashy demos and tons of promises about the imminent future of agents. But how much of that is actually possible and how much is hype? Lutra AI co-founder and CEO, Jiquan Ngiam sat down with us to suss it out.
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.
How to drive AI adoption at scale
If you missed Olya Taran’s session at The AI Strategy Summit, you missed one of the most practical frameworks of the day on one of the biggest problems leaders still face: Getting widespread AI adoption. We’re laying it out for you.
