The Track
A Section Blog
How AI is shaping Section in 2025
The 5 best ways to use AI from Dan Shipper, Every CEO
Every CEO Dan Shipper plays with AI for a living. He shared his top 5 best ways to get immediate value from AI.
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.
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?
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.
How the Royal Family’s AI-powered mental health agent overcame privacy concerns
Most orgs feel unready for the challenges that Gen AI brings to risk management. Yet many AI applications will have to navigate the line between user value and user privacy. So we sat down with specialist, Brian Kolodny, to understand how he traversed matters of privacy when building a mental health bot for the Royal Family’s foundation.
Our Guide to Building Enterprise AI Applications
Every company needs to be thinking about where AI slots into their product or service, but all the noise and hype makes it hard to determine what a valuable vs. novel use case looks like. Machine & Partners’ Ed Ortega is sharing 2 frameworks to narrow down your laundry list of AI ideas.
