The Track
A Section Blog
Yes, you will lose your job to AI
ChatGPT o1: What’s cool, what’s hype, and what happens next
OpenAI just changed the LLM game with the release of ChatGPT o1. Here's what it means when it says it's "thinking", how to prompt it, and what this all means for the future.
Where’s the AI ROI?
AI is not like software. So how can you measure whether it's worth the investment or not?
The most AI Proficient industries in 2024
A rundown of the industries that are leading the AI charge – and what sets them apart – and which are lagging behind.
Claude for Teams: What You Need to Know
Will Anthropic's new features in Claude for Teams – “Projects” and "Artifacts" – really make your team more collaborative and productive? We put them to the test.
4 proven business strategies from NYU Stern Prof. Scott Galloway
Growing a business can be rough. Even after you’ve drafted a masterful business plan and secured enough capital to see it to fruition, you’re still facing an uphill battle.
In fact, 65 percent of businesses fail within their first 10 years.
So how do you beat the odds? You can start by leveraging these four winning concepts NYU Stern Professor Scott Galloway lays out in his upcoming Business Strategy Sprint.
We’ll break them down.
3 steps to uncover your real competitors (hint: they may not be who you think)
April Dunford is a product positioning expert who helps executives zero in on the real competitive alternatives to their product.
In this post, we’ll share some of her tips.
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.
