The Track
A Section Blog
7 hard-won lessons from deploying AI at scale
Gemini for Google Workspace: What You Need to Know
What is Gemini for Google Workspace, and is it worth investing in? Our in-house AI expert will tell you.
Meet the professor: Google’s Ted Souder from Building an AI-First Organization
Ted Souder is back to teach our Building an AI-First Organization workshop. Get to know him a little better (and why we keep bringing him back for more).
What is Prompting for AI? The Beginner's Guide to AI Prompt Writing
What is prompting? In this beginner's guide to instructing AI models like ChatGPT through written prompts, you'll earn the basics of prompting for natural AI conversations.
GPT-4o: What’s cool, what’s hype, and what happens next
Our in-house AI expert talks all things GPT-4o and what it means for the future — ours and AI's.
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Why we’re opening up unlimited access to sprints
I was talking recently with a Section4 student, and I let him know that we would soon be giving members access to all our sprints for $995, about 1% the annual tuition of an MBA.
“That’s incredible,” he said. “I’m so excited – my mind is blown.”
Then he paused.
“Why are you doing that?”, which is a polite way of asking “What’s the catch?”
There isn’t one. And here’s the answer as to why.
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.
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.
