The Track
A Section Blog
Is Deep Research worth $200 a month?
Agents are here: OpenAI's chaos vs. Microsoft's control
If you’re tired of hype without action when it comes to AI agents, you’re not alone. Here's our Lead AI Consultant, Chase's, no-BS take on what the big players’ agents are actually capable of.
Staying silent on AI is almost as bad as banning it
The piece of data from our latest AI Proficiency Report that we can’t stop thinking about: Silence on AI breeds more AI skepticism than an outright AI ban. So if you’ve been gathering your thoughts on AI, now is the time to put them in writing.
What AI means for the entry level job and your next career move
What does AI’s automation of entry level tasks mean for college grads, interns, and anyone looking to switch industries? We sat down with labor economist Sania Khan to talk about the rebuilding of the career ladder with AI.
How to use AI for SEO content without sacrificing quality
Can AI generate SEO content that ranks? We put it to the test in 2024 and the answer is 'yes, but....'
Where's the money going to be made in AI?
Not every AI investor will make their money back. In this post, we dig into the AI business models that will work, and those that will be the next Pets.com.
10 lessons from running a startup in 2023
This was a hard year for Section, but we’ve come out of it fitter and stronger. Here are 10 lessons that I’ve learned about running a startup – hoping they provide some inspiration to you.
How the Royal Family’s AI-powered mental health agent overcame privacy concerns
Most orgs feel unready for the challenges that Gen AI brings to risk management. Yet many AI applications will have to navigate the line between user value and user privacy. So we sat down with specialist, Brian Kolodny, to understand how he traversed matters of privacy when building a mental health bot for the Royal Family’s foundation.
Our Guide to Building Enterprise AI Applications
Every company needs to be thinking about where AI slots into their product or service, but all the noise and hype makes it hard to determine what a valuable vs. novel use case looks like. Machine & Partners’ Ed Ortega is sharing 2 frameworks to narrow down your laundry list of AI ideas.
