The Track
A Section Blog
Your team doesn’t know what to use AI for
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.
Google Gemini vs. Microsoft Copilot: Which is right for your business?
Gemini for Google Workspace and Copilot for Microsoft 365 both promise to enhance productivity. But which one gives you the most bang for your buck?
Copilot for Microsoft 365: What You Need to Know
Microsoft Copilot is the LLM of choice for 23% of companies, so how good are the new features of Copilot for Microsoft 365? Our AI expert's review.
Exploring AI in Marketing Examples
The marketing applications for AI seem limitless - but let's breakdown a few standout examples.
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.
Staying silent on AI is almost as bad as banning it
The piece of data from our latest AI Proficiency Report that we can’t stop thinking about: Silence on AI breeds more AI skepticism than an outright AI ban. So if you’ve been gathering your thoughts on AI, now is the time to put them in writing.
Why shadow AI is probably happening in your company
We surveyed over 5,000 knowledge workers in the second half of 2024 on AI knowledge, skill, and usage. One of the most troubling takeaways: AI use is happening, whether your company sanctions it or not, and the implications are huge.
