The Track
A Section Blog
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Build, Buy, or Wait: The Leader’s Guide to AI Adoption
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The best open-source AI chatbots in April 2024
While big players like OpenAI, Anthropic, and Google have been stealing the spotlight, a crew of underdogs have been working on models to give them a run for their money. But how do they stack up?
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The VC perspective on successful AI startups
You might have a cool idea for an AI startup, but is it venture backable? General Catalyst's Christopher Kauffman will tell you.
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We introduced our first AI avatar professor. Here’s why.
Earlier this month, we wrapped our very first AI avatar-led course. Here's the nitty-gritty calculus behind our decision to try avatars as instructors.
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Meet your professor: Apple’s Amit Rawal from AI for Data Analysis
We sat down with Apple’s Amit Rawal to ask him all the things you should know before you take his course – including a sneak peek into his data analysis framework.
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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.
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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.
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Why most corporate learning offerings suck (and how to fix it)
What percentage of employees actually use the skills they learn in L&D programs at their jobs?
Twelve percent.
If these numbers sound rough, that’s because they are...
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The three skills that actually matter to business growth
Do you ever look at a company like Google or Netflix and think, “I know we could be that successful – if only we had their people on our team”?
The bad news: It’s impossibly expensive to recruit talent from the top tech companies.
The good news: You can develop this type of talent in-house, if you zero in on the skills that actually matter to drive business growth.
To help you, our research team looked at 100 of today’s top-performing organizations and identified the business skills that matter.
These are the skills that should be your top priority in talent development. So let’s get started.