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Your AI risk appetite is too narrow
Meet your professor: Apple’s Amit Rawal from AI for Data Analysis
We sat down with Apple’s Amit Rawal to ask him all the things you should know before you take his course – including a sneak peek into his data analysis framework.
Pi had a million users. So why did Inflection just implode (and take Pi with it)?
Microsoft just cannibalized a company it was a lead investor in and took its chatbot down with it. Here's what that means for other AI startups.
5 roles AI can play to make you more strategic
Roleplay these scenarios with AI to make yourself a more strategic decision maker, presenter, collaborator, and leader.
3 drills to teach your team AI, using AI
L&D might be dragging their feet on training your team on AI (we’ve seen it firsthand). So, use AI itself as your team coach.
OpenAI’s product manager shares 4 ways PMs can use AI to get promoted
OpenAI product lead Britt Jamison says AI isn't devaluing product managers. In fact, he says it's quite the opposite.
ChatGPT’s unhelpful responses might be your fault
When ChatGPT gives us subpar answers, it's our instinct to blame the tech. However, the real problem with human-AI collaboration is not the AI.
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.
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.
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.
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Why you need to pay your AI champions
Most champions programs fizzle out because you're asking people to do real work and giving them nothing for it. Pay them, promote them, and they'll actually drive your transformation forward.
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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.
