The Track
A Section Blog
Can you build a team of just AI tools?
5 steps to solve the tough problem in front of you
The ability to solve tough problems isn’t an innate talent or a magic act – it’s a process. Learn a step-by-step framework to break down problems and solve them in a data-driven way.
4 data-driven tricks to win your customers’ hearts
For consistent sales, you need a long-term relationship. According to Google’s Neil Hoyne, It starts with a better conversation — and smarter questions.
The 10 essential business skills every person (or team) needs
I’m sure we’ve all had this thought over the course of our career: “I wish somebody could give me a playbook on how to be great at my job.”
Well, we’re here to tell you that being a great strategist isn’t a natural talent or a magic trick. It’s a list of critical skills that, when mastered, make you indispensable.
Do this exercise to get more meaning from your life
It's about pinning down your "ultimate why," according to Berkeley Haas professors Sahar Yousef and Lucas Miller.
ChatGPT Canvas: OpenAI's Trojan Horse for Enterprise Domination
If you missed the launch of ChatGPT's Canvas feature, don’t be surprised – its launch didn't generate the usual hype. But Canvas offers an interesting glimpse into the future of OpenAI's strategic direction.
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.
Squishy vs. hard ROI: Why leaders need both
One of the hardest parts of AI ROI is figuring out how to report qualitative wins to execs who want quantitative reports. At our AI:ROI Conference, Michael Domanic shared the framework for approaching these two disparate kinds of ROI.
AI’s progress may be holding your team back
On paper, the rapid release of new AI models and features looks like a win for knowledge workers. In reality, teams are drowning in AI overwhelm. Here’s how leaders can help them scale an ever-steeper learning curve.
