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Your AI risk appetite is too narrow

AI can think now. What does that mean for you?
The next stage of LLMs is here: AI that βthinks,β or breaks down problems step-by-step like a human would. Hereβs how we got here, and what it means for how you use AI.

Passing the EUβs AI Literacy Requirements
Starting February 2025, The European Union's Artificial Intelligence Act (EU AI Act) mandated an "AI Literacy" requirement. Here's what that means for you.

Build, Buy, or Wait: The Leaderβs Guide to AI Adoption
Edmundo Ortega spends all day rethinking a companyβs core workflows with AI. So we asked him when companies should build custom AI solutions and when they should buy off-the-shelf. Thatβs when he introduced a third option β neither.

EY's Global Head of AI: Donβt rush to prove AI ROI
If you feel like youβre falling behind because you havenβt figured out how to make a bulletproof investment in AI, read on for John Thompsonβs take on why you actually need to slow down and stop sweating the ROI.

AI is disrupting my dad
AI conversations tend to center around the impact on work - but what about the personal benefits?

Agents are here: OpenAI's chaos vs. Microsoft's control
If youβre tired of hype without action when it comes to AI agents, youβre not alone. Here's our Lead AI Consultant, Chase's,Β no-BS take on what the big playersβ agents are actually capable of.

AI agents are cool, but not for the reasons youβve heard
Youβve seen articles and flashy demos and tons of promises about the imminent future of agents. But how much of that is actually possible and how much is hype? Lutra AI co-founder and CEO, Jiquan Ngiam sat down with us to suss it out.

AI hallucinations arenβt a big deal
Itβs hard not to hear that AI hallucinates and not have a few alarm bells go off. But βhallucinationsβ is a loaded word. Machine & Partnersβ Edmundo Ortega is back to explain why theyβre nothing to worry about.

When to use a specialized AI tool vs. an LLM
If youβre hitting the limits of your LLM because you need more data or niche training, youβre likely doing a lot of high-end knowledge work β and thatβs where specialized AI tools come into play.

We tested two Deep Research tools. One was unusable.
Two LLMs have released Deep Research features without much of a splash. So if youβve been wondering about them (and donβt want to pay the $200/month price tag), read on for our Chief of Staffβs take on ChatGPT vs. Gemini.
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How an agency is preparing for AI clients
AI has put a big question mark over the future of agencies. So we talked to David Freas, Managing Partner at Supermoon, about how heβs transforming his brand agency with AI agent teammates β and for AI agent clients.

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?Β 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 AIΒ 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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