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2026 was the year of the agent. 2027 is the year of computer use.
2026 was the year of the agent. 2027 is the year of computer use.
Get ready for the era of AI that uses your computer just like you do.
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How to evaluate a new model release (and why the benchmarks can't do it for you)
Should you be using the latest and greatest AI model? And if so, what for?
You want AI ROI? Know what drives your business
Getting AI ROI starts with understanding your key business drivers and how AI could accelerate them.
Being good at prompting isn’t enough
Your team needs to move from AI prompting to redesigning workflows with agents. Here's how.
5 questions every AI leader will need to answer in 2027
The questions for Heads of AI will get harder in 2027. Here's how to prepare as you set your 2027 AI strategy.
What Should Be in Your AI Budget for 2027
Budget season is coming. Here's everything that should be in your AI transformation budget in 2027.
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.
Where’s the money in AI? 10 insights from Azeem Azhar
Which AI projects and businesses will make their money back, and which will falter? Exponential View's Azeem Azhar weighs in.
Section now has a mobile app!
Download the Section app in the Android or iOS store to watch and complete courses on the go.
How to become a Chief of AI
Pitch yourself as Chief of AI using this AI job description and talking points.
8 secrets to great AI prompting
Learn how to write a prompt for ChatGPT that gets a great result.
Squishy vs. hard ROI: Why leaders need both
One of the hardest parts of AI ROI is figuring out how to report qualitative wins to execs who want quantitative reports. At our AI:ROI Conference, Michael Domanic shared the framework for approaching these two disparate kinds of ROI.
AI’s progress may be holding your team back
On paper, the rapid release of new AI models and features looks like a win for knowledge workers. In reality, teams are drowning in AI overwhelm. Here’s how leaders can help them scale an ever-steeper learning curve.
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.
SMB leaders have an AI adoption problem
In public, they’re touting AI proficiency. In private, they’re not sure what generative AI even is.
How to use AI microapps without compromising security
AI can now code you a custom ready-to-deploy application in sub-10 minutes, just by prompting it. Machine & Partners’ Edmundo Ortega walked us through the huge opportunity of these microapps – and the huge risks.
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