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Your AI risk appetite is too narrow

What does the OpenAI implosion mean for you?
Tens of thousands of GPT developers (and other OpenAI true believers) watched in horror over the weekend, asking themselves: “Is my commitment to OpenAI and their technology going to turn out to be a massive mistake?” Section CEO Greg Shove doesn't think so. Read his take on what’s happening at OpenAI and what it means for you.

2 simple data skills that every single person should know
The ability to quickly clean and analyze a data set will make you better at every part of your job. But it’s easy to go a long time without learning these skills. (And if you’re far along in your career, it can feel embarrassing to ask for help!). That’s why we're sharing our quick guide on two basic data skills everyone should have.

10 ways to get your team to move faster on AI
If you’re a leader and you believe in AI, you’re probably facing a challenge in getting your whole team to embrace AI. Learn 10 ways to get your team excited about AI, from Section's CEO Greg Shove.

How to customize ChatGPT to your needs
Working with AI right now is like working with a brand new coworker. They don’t get your processes or your way of thinking. You have to give them a lot of context, and even when you do, the results aren’t exactly right. While many people give up, we promise it's worth it to train your AI tool to be your best possible copilot.

Sponsor your direct reports, don’t just mentor them
Your team needs both mentorship and sponsorship to thrive. We'll unpack the difference between a mentor and sponsor, and share DEI expert Mita Mallick's guidance on why both roles are essential.

Prioritize the right metrics for your 2024 product roadmap
It's challenging to craft a product roadmap that balances different (sometimes competing) visions for the product. Get a deep dive into how we prioritize our roadmap using Gibson Biddle's framework for growth, engagement, and monetization.

There’s plenty of AI ROI - if you’re willing to work for it
A theme emerged in the chat of this year's AI:ROI Conference: 11 experts shared their value-adding AI strategies but people were just looking for magic formulas. Here were the biggest insights we think they overlooked.

Is AI good enough to lay off your engineers?
Are AI coding tools good enough to replace humans? Here’s the verdict from a founder who had to make that choice.

How to find AI workflows that actually translate to ROI
AI is pointing out a big point of weakness in a lot of organizations: too few can actually name the value-generating processes that drive revenue. So Machine & Partners’ Ed Ortega is giving you his 5 step framework for doing just that.

Losing Our Minds To AI
Let’s have the hard conversation: Yes, AI reliance will atrophy your brain. But knowing that ahead of time can help you get ahead of it – before it impacts your job.

Ex-OpenAI exec: Leaders lack AI conviction
ICs get a lot of the blame for stalling or failing AI deployments. But former OpenAI executive, Zack Kass, says they could very well be the scapegoats for scrambling leadership.

What you really need to know about ChatGPT-5
ICYMI, OpenAI launched ChatGPT-5 . If your head is still spinning from the other 6 models they’ve released this year, here’s our guide on what’s different and what you actually need to pay attention to.

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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