AI:ROI Insights
A Section Blog

Why you can’t get your AI automations to work

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.

Is AI the end of Saas?
Right now, I’m sure you can’t imagine life without your CRM or CMS. Edmundo Ortega bets you won’t be able to imagine life with one as AI continues to evolve.

What does the OpenAI implosion mean for you?
Tens of thousands of GPT developers (and other OpenAI true believers) watched in horror over the weekend, asking themselves: “Is my commitment to OpenAI and their technology going to turn out to be a massive mistake?” Section CEO Greg Shove doesn't think so. Read his take on what’s happening at OpenAI and what it means for you.

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.

The new “super leader” has different skills
Today's leaders have a new problem ahead of them: How to transform their businesses into "supercompanies" by fundamentally rethinking the work they do every day.

Escaping the AI Use Case Desert
We launched a new agent in ProfAI: Use Case Coach. This is the solution to flailing enterprise AI adoption rates, here's why.






