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How to drive AI adoption at scale

AI hallucinations aren’t a big deal
It’s hard not to hear that AI hallucinates and not have a few alarm bells go off. But ‘hallucinations’ is a loaded word. Machine & Partners’ Edmundo Ortega is back to explain why they’re nothing to worry about.

Is Deep Research worth $200 a month?
With new AI tools coming out all the time, it’s hard to know which ones are worth investing in. So here’s our lead AI consultant’s framework for whether you should shell out for Deep Research or not.

AI is good enough, the humans need help
Newsflash if you’re waiting for AI to get better before you invest: It’s already pretty good, it’s the people using it that need to get a lot better – and fast. Greg is taking over this week’s newsletter to show you why.

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

4 proven business strategies from NYU Stern Prof. Scott Galloway
Growing a business can be rough. Even after you’ve drafted a masterful business plan and secured enough capital to see it to fruition, you’re still facing an uphill battle.
In fact, 65 percent of businesses fail within their first 10 years.
So how do you beat the odds? You can start by leveraging these four winning concepts NYU Stern Professor Scott Galloway lays out in his upcoming Business Strategy Sprint.
We’ll break them down.

3 steps to uncover your real competitors (hint: they may not be who you think)
April Dunford is a product positioning expert who helps executives zero in on the real competitive alternatives to their product.
In this post, we’ll share some of her tips.

How to drive AI adoption at scale
If you missed Olya Taran’s session at The AI Strategy Summit, you missed one of the most practical frameworks of the day on one of the biggest problems leaders still face: Getting widespread AI adoption. We’re laying it out for you.

Your team doesn’t know what to use AI for
Change management is likely not the biggest bottleneck to your AI deployment anymore: Our latest AI Proficiency Report shows that people want to use it, but they can’t figure out what it should be used for.