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Your AI risk appetite is too narrow
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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Your AI manifesto needs an update
Why every organization needs to establish the why, how, and "what we expect" around generative AI - again and again.
How to manage AI token costs
Everyone is freaking out about token costs. Here's why yours going up might be a good sign.
The case for letting people mess around with AI
To get people experimenting with AI, you have to encourage them to play with it first.
Should enterprise organizations hire a Head of AI?
Should your company hire a head of AI? Michael argues for why the role should exist - and be well-resourced.
How to manage the risk of AI agents
Many organizations are talking about agents, but far fewer know how to deploy them safely. Our Head of AI, Michael Domanic, shares his mental framework for how to think about the risk and opportunity of AI agents.
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.
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Why most corporate learning offerings suck (and how to fix it)
What percentage of employees actually use the skills they learn in L&D programs at their jobs?
Twelve percent.
If these numbers sound rough, that’s because they are...
The three skills that actually matter to business growth
Do you ever look at a company like Google or Netflix and think, “I know we could be that successful – if only we had their people on our team”?
The bad news: It’s impossibly expensive to recruit talent from the top tech companies.
The good news: You can develop this type of talent in-house, if you zero in on the skills that actually matter to drive business growth.
To help you, our research team looked at 100 of today’s top-performing organizations and identified the business skills that matter.
These are the skills that should be your top priority in talent development. So let’s get started.
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Section HQ
For any
(and every)
leader responsible for AI success
From org-wide impact to department-level use cases, Section HQ gives every leader the insights they need to drive progress.
