The Track
A Section Blog
What happens when 1M people are really good at using AI?
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.
How an AI expert built agents for Toyota and Universal Theme Parks
Brian Kolodny has designed chatbots for 37 Global 100 companies. Here's how he used them to create better customer experiences for Toyota and Universal Theme Parks.
Google Gemini vs. Microsoft Copilot: Which is right for your business?
Gemini for Google Workspace and Copilot for Microsoft 365 both promise to enhance productivity. But which one gives you the most bang for your buck?
