The Track
A Section Blog
Is Deep Research worth $200 a month?
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.
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.
How we used AI to improve course quality by 20%
One common misperception about AI is that it’s only good for making processes quicker. Education Product Lead, Kyra Atekwana, shared how it also improved our content quality by 20%.
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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.
Is Deep Research worth $200 a month?
With new AI tools coming out all the time, it’s hard to know which ones are worth investing in. So here’s our lead AI consultant’s framework for whether you should shell out for Deep Research or not.
AI is good enough, the humans need help
Newsflash if you’re waiting for AI to get better before you invest: It’s already pretty good, it’s the people using it that need to get a lot better – and fast. Greg is taking over this week’s newsletter to show you why.
