The Track
A Section Blog
Leaking our own AI manifesto
2 simple data skills that every single person should know
The ability to quickly clean and analyze a data set will make you better at every part of your job. But it’s easy to go a long time without learning these skills. (And if you’re far along in your career, it can feel embarrassing to ask for help!). That’s why we're sharing our quick guide on two basic data skills everyone should have.
10 ways to get your team to move faster on AI
If you’re a leader and you believe in AI, you’re probably facing a challenge in getting your whole team to embrace AI. Learn 10 ways to get your team excited about AI, from Section's CEO Greg Shove.
How to customize ChatGPT to your needs
Working with AI right now is like working with a brand new coworker. They don’t get your processes or your way of thinking. You have to give them a lot of context, and even when you do, the results aren’t exactly right. While many people give up, we promise it's worth it to train your AI tool to be your best possible copilot.
Sponsor your direct reports, don’t just mentor them
Your team needs both mentorship and sponsorship to thrive. We'll unpack the difference between a mentor and sponsor, and share DEI expert Mita Mallick's guidance on why both roles are essential.
Why we’re rebuilding education with AI
Business education has two fundamental problems. Our CEO Greg is sharing how AI can solve both of them and bring about truly career-changing education.
5 custom GPTs to get the job
AI expert Ashley Gross has a custom GPT for everything – including pitching herself to jobs, winning consulting gigs, building a portfolio, and more. Here's what they do and how she builds them.
Passing the EU’s AI Literacy Requirements
Starting February 2025, The European Union's Artificial Intelligence Act (EU AI Act) mandated an "AI Literacy" requirement. Here's what that means for you.
Build, Buy, or Wait: The Leader’s Guide to AI Adoption
Edmundo Ortega spends all day rethinking a company’s core workflows with AI. So we asked him when companies should build custom AI solutions and when they should buy off-the-shelf. That’s when he introduced a third option – neither.
