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Your AI risk appetite is too narrow

How to build a Claude Plugin that benefits your whole team
Claude Plugins are changing what organizations can do with AI. Learn how to build a Plugin that benefits your whole team with democratized data.
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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.

Notes from the field on AI transformation
If you're leading AI transformation, the highest-leverage investment you can make right now is activating your managers.

Horizon Media’s AI takeover: Building an AI-first culture in less than one year
Horizon Media went from AI-nascent to 85% AI-certified in under a year by combining a company-wide mandate with protected learning time, visible leadership participation, and internal branding that made proficiency feel like a badge of honor.

The president went first on AI. Everyone else followed.
Sidearm Sports president George Scott drove company-wide AI adoption by getting deeply fluent himself first, making AI proficiency part of every employee’s performance review, and requiring a real capability baseline before letting anyone join the AI committee.

What makes an AI ambassador program actually stick
Agital, a digital marketing agency, built an AI ambassador program that actually works because they got specific where most programs stay vague - on selection, accountability, and goal-setting.
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Why we’re opening up unlimited access to sprints
I was talking recently with a Section4 student, and I let him know that we would soon be giving members access to all our sprints for $995, about 1% the annual tuition of an MBA.
“That’s incredible,” he said. “I’m so excited – my mind is blown.”
Then he paused.
“Why are you doing that?”, which is a polite way of asking “What’s the catch?”
There isn’t one. And here’s the answer as to why.

Will your big idea work? 3 ways to manage risk
Building a new product is nerve-racking, especially if you’re taking a shot at something that’s never been tried before.
Will it end up being a YouTube or a Quibi? An iPod or a Zune? If it fails, will you ever be able to bounce back?
Luckily, you can build confidence by reducing risk. That’s where product experimentation comes in.
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What is Web3 (and why should I care)?
Everything you need to know to talk about Web3 at your next cocktail hour.

The science-based secret to being more productive at work
Have you ever sat in a 9 a.m. meeting with your team and wondered why one person is jacked up on coffee and firing off ideas, and another person looks like they just woke up from a 100-year sleep?
You might think, “Well, the first person is just more productive. They’re good at their job, whereas Steve is a useless lump. Duh.”
But actually, it’s not that simple. These two people probably have different chronotypes – meaning they’re inclined to sleep, work, and recover at different times.

How to know if NFTs are right for your business
Pop quiz. When you hear the word NFT, do you think:
💪 I know exactly what an NFT is and how to use it for my business
🤔 I think I understand what NFTs are, but I have no clue if they’re relevant to me
🤢 Argh! I should know what NFTs are, but thinking about them makes my head hurt
If you answered the latter two options, you’re not alone. Don’t worry – we sat down with NYU Stern Professor Sabrina Howell to simplify it for you.

Self-assessment: Does your team trust you?
I’m sure you’ve had a manager you didn’t trust.
Maybe that manager said she valued your time – but then canceled your 1:1 at the last minute because she just had to run out and get a smoothie.
Maybe he called you out in front of the team for a mistake he made. (Truly an unforgivable offense).
Whatever it was, you know that once trust is lost, it’s hard to get back...

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.

