The Track
A Section Blog
Can you build a team of just AI tools?
How I use AI to help my boss prepare for board meetings
We’re not shy about sharing our favorite AI use case: Leveraging it as a thought partner. But not all LLMs are created equally – so Section’s Chief of Staff to the COO, Ana, is sharing how they rank as thought partners for one of her most strategic use cases: Preparing the quarterly board deck.
The hidden reasons you’re not using AI every day
We’ve been taught all our lives to value original ideas and hard work, but using AI challenges these principles. But you have to get over this thinking, because your CEO already has.
Meet your professor: Emerging tech and AI consultant, Elizabeth Shaw
Elizabeth Shaw has worked in emerging tech for nearly 25 years at companies including Gartner, Sephora, and Forrester. Now, she’s your new guest lecturer in Section’s AI Crash Course.
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.
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What is Web3 (and why should I care)?
Everything you need to know to talk about Web3 at your next cocktail hour.
The science-based secret to being more productive at work
Have you ever sat in a 9 a.m. meeting with your team and wondered why one person is jacked up on coffee and firing off ideas, and another person looks like they just woke up from a 100-year sleep?
You might think, “Well, the first person is just more productive. They’re good at their job, whereas Steve is a useless lump. Duh.”
But actually, it’s not that simple. These two people probably have different chronotypes – meaning they’re inclined to sleep, work, and recover at different times.
3 drills to teach your team AI, using AI
L&D might be dragging their feet on training your team on AI (we’ve seen it firsthand). So, use AI itself as your team coach.
How to set an AI policy for your company
In this post, we'll cover the four parts to a strong AI policy – your stance on AI, operating norms, rules/guidelines, and real-life use cases.
