The Track
A Section Blog
Is Deep Research worth $200 a month?
Perplexity AI: What You Need to Know
Perplexity doesn't get as much air time as other AI tools, but its features have the potential to change how you work.
How a Bayer CFO is thinking about AI ROI
Your CFO will want to see your plan for proving ROI before they greenlight your AI initiatives. But what we learned from Bayer CFO, Florian Zirnstein, is that not all CFOs need to see hard numbers to measure success.
Benchmarking Section’s AI Proficiency
We've talked a lot about the AI proficiency of the broader workforce - but is Section even walking the walk? We ran our own AI Proficiency Survey internally - here's how we did it, what we learned, and how we're measuring ROI.
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.
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 hallucinations aren’t a big deal
It’s hard not to hear that AI hallucinates and not have a few alarm bells go off. But ‘hallucinations’ is a loaded word. Machine & Partners’ Edmundo Ortega is back to explain why they’re nothing to worry about.
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.
