The Track
A Section Blog
The hidden reasons you’re not getting AI ROI
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 Agents Explained: The clear, no-hype definition
“Agents” have become one of the biggest hyped and most misused terms in AI. So here’s the real definition from someone who builds AI solutions for a living.
There’s plenty of AI ROI - if you’re willing to work for it
A theme emerged in the chat of this year's AI:ROI Conference: 11 experts shared their value-adding AI strategies but people were just looking for magic formulas. Here were the biggest insights we think they overlooked.
Is AI good enough to lay off your engineers?
Are AI coding tools good enough to replace humans? Here’s the verdict from a founder who had to make that choice.
2 simple data skills that every single person should know
The ability to quickly clean and analyze a data set will make you better at every part of your job. But it’s easy to go a long time without learning these skills. (And if you’re far along in your career, it can feel embarrassing to ask for help!). That’s why we're sharing our quick guide on two basic data skills everyone should have.
10 ways to get your team to move faster on AI
If you’re a leader and you believe in AI, you’re probably facing a challenge in getting your whole team to embrace AI. Learn 10 ways to get your team excited about AI, from Section's CEO Greg Shove.
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.
