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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.

The 4 priority strategies for every marketer in Q1
This week, we heard from 8 marketing experts from companies like Estee Lauder, HubSpot, and Zapier on THE AI strategies that need to be in every CMO’s 2026 plan. Our own Head of Marketing, Rachel Fields, is sharing the 4 tactics on her own to-do list.

85% of workers don’t use AI for business value
Our latest AI proficiency research was released this week – and if you’re leading a team through AI transformation, you’re going to want to keep reading.

How I learned to stop note-taking and let AI work for me
We have a new Head of Engineering! Say hi to Chad and read on to learn how he’s leveraging Claude Code to keep all the facts of a new role straight.

Personal AI use cases are good for business
Here's a slightly controversial take from AI researcher Marc Zao-Sanders: Don’t worry that no one is using AI for work yet – personal use comes first, but enterprise ROI follows.

The 4 AI investments finance leaders need to make in 2026
The opportunities for AI in finance are huge – if CFOs set the right strategy. Glenn Hopper, our AI for Finance instructor, is sharing the 4 AI investments finance leaders should make in 2026.

The 5 AI investments sales leaders should make in 2026
If you’re a sales leader and your AI strategy sounds like “buying an AI-powered outbound tool”, put the company card down until you’ve read this.

The 5 AI agents every company should be running
The same agents show up early in every AI-enabled organization. They're the ones you should prioriotize.

How to think about Kimi K3 as an executive
Kimi K3 is here - does that mean anything if you're an enterprise organization?

4 habits that make or break your AI agents
Start structuring your work as if agents will be reading it - because they will.

Your AI risk appetite is too narrow
A simple framework for managing the risk of deploying AI agents to the enterprise
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Section HQ
For any
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From org-wide impact to department-level use cases, Section HQ gives every leader the insights they need to drive progress.
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