The Track
A Section Blog
How to drive AI adoption at scale
How did Twitter's blue check mark go from status symbol to total embarrassment?
In less than six months, Twitter's blue check mark "verification" has gone from a status symbol for the rich and famous to a warning sign associated with Elon fanboys and trolls. We unpack what happened, using lessons in brand strategy and viral growth.
Which skills matter? Employees and L&D leaders don’t always agree [research]
Which skills matter in the modern workplace – to get promoted, to get ahead, to impact the business? It turns out that employees and learning leaders don’t always agree.
We recently surveyed 10,000 students and 250 learning leaders on the skills that are their biggest priority in 2023.
5 steps to pick a winning investment
Whether you’re the investor or the investee, the six-step Risk-Reward Framework can put you on the right path.
Can ChatGPT write a positioning strategy?
ChatGPT can do a lot of amazing things. So what happened when we put it into an MBA-level positioning course?
Quiz: How should your business be using AI?
You know your business should be using AI in some way. But does that mean using it to generate a few headline ideas, or introducing a whole new AI product? The answer depends on the state of your business.
Take our quiz to determine how to best use AI for your unique needs.
What you actually need to know about how AI works
Right now, AI chatbots seem like magic, and that’s dangerous. It makes it easy to overestimate their abilities. You don’t need to know every technical detail of how AI works – but you do need to know enough to understand its limitations.
Dive into what you really need to know about how AI works.
How to drive AI adoption at scale
If you missed Olya Taran’s session at The AI Strategy Summit, you missed one of the most practical frameworks of the day on one of the biggest problems leaders still face: Getting widespread AI adoption. We’re laying it out for you.
Your team doesn’t know what to use AI for
Change management is likely not the biggest bottleneck to your AI deployment anymore: Our latest AI Proficiency Report shows that people want to use it, but they can’t figure out what it should be used for.
