The Track
A Section Blog
How to find AI workflows that actually translate to ROI
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.
You're bad at using AI because you're bad at managing people
Managing people and managing AI are the same skill. So if you can’t get a good output from AI, slow down and treat it like a direct report.
7 hard-won lessons from deploying AI at scale
This week, we got access to the motherlode of AI strategy advice at our AI Strategy Summit. Here are the 7 biggest takeaways every leader should read, then read again.
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.
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.
Why shadow AI is probably happening in your company
We surveyed over 5,000 knowledge workers in the second half of 2024 on AI knowledge, skill, and usage. One of the most troubling takeaways: AI use is happening, whether your company sanctions it or not, and the implications are huge.
Why most organizations aren’t ready to deploy AI
In September, we re-ran our AI Proficiency Survey to over 5,000 knowledge workers across the US, UK, and Canada. Our biggest takeaway: The knowledge workforce is vastly unprepared for an AI-augmented future.
