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2026 was the year of the agent. 2027 is the year of computer use.

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.

How we used AI to improve course quality by 20%
One common misperception about AI is that it’s only good for making processes quicker. Education Product Lead, Kyra Atekwana, shared how it also improved our content quality by 20%.

How a Bayer CFO is thinking about AI ROI
Your CFO will want to see your plan for proving ROI before they greenlight your AI initiatives. But what we learned from Bayer CFO, Florian Zirnstein, is that not all CFOs need to see hard numbers to measure success.

Benchmarking Section’s AI Proficiency
We've talked a lot about the AI proficiency of the broader workforce - but is Section even walking the walk? We ran our own AI Proficiency Survey internally - here's how we did it, what we learned, and how we're measuring ROI.

ChatGPT o1: What’s cool, what’s hype, and what happens next
OpenAI just changed the LLM game with the release of ChatGPT o1. Here's what it means when it says it's "thinking", how to prompt it, and what this all means for the future.

Joining the AI class should be your top priority
The workforce is dividing into two sides. Master AI now to make sure you're on the right side.

How to build a custom GPT
Follow these step-by-step instructions to build a custom GPT model that completes specific tasks for you.

Where's the money going to be made in AI?
Not every AI investor will make their money back. In this post, we dig into the AI business models that will work, and those that will be the next Pets.com.

10 lessons from running a startup in 2023
This was a hard year for Section, but we’ve come out of it fitter and stronger. Here are 10 lessons that I’ve learned about running a startup – hoping they provide some inspiration to you.

How to prioritize AI projects
If your company is all-in on AI like Section, you might’ve spent the last few weeks coming up with exciting AI projects to tackle in the new year. After the fun brainstorming work comes the less glamorous step of figuring out what your organization actually has the time and budget to execute. We're sharing a simple risk-reward framework to prioritize your AI projects.

2026 was the year of the agent. 2027 is the year of computer use.
Get ready for the era of AI that uses your computer just like you do.
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How to evaluate a new model release (and why the benchmarks can't do it for you)
Should you be using the latest and greatest AI model? And if so, what for?

You want AI ROI? Know what drives your business
Getting AI ROI starts with understanding your key business drivers and how AI could accelerate them.

Being good at prompting isn’t enough
Your team needs to move from AI prompting to redesigning workflows with agents. Here's how.

5 questions every AI leader will need to answer in 2027
The questions for Heads of AI will get harder in 2027. Here's how to prepare as you set your 2027 AI strategy.

What Should Be in Your AI Budget for 2027
Budget season is coming. Here's everything that should be in your AI transformation budget in 2027.
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Section HQ
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