The Track
A Section Blog

Leaking our own AI manifesto

5 insights on learning from Section's Annual Outcomes Report
We surveyed your employees on the blockers that stand in the way of learning. Read our post to learn how to engage them in learning and prove the ROI of your programs.

Why did HBO Max rebrand to Max? 4 insights
The internet responded to the HBO Max rebrand with an overwhelming, "Why?" So we dug in to find out the strategy behind their confusing move.

How Cascade took on its biggest competitor: the sink
Want to attack your real competition instead of the company down the road no one knows about? Learn how Cascade depositioned their number one competitor: the sink.

4 steps to attracting and keeping the best talent in business (even if you're not Google)
You don't need to be a big tech firm to attract, recruit, and retain the best talent. Here's our four-step process for doing it right.

The best open-source AI chatbots in April 2024
While big players like OpenAI, Anthropic, and Google have been stealing the spotlight, a crew of underdogs have been working on models to give them a run for their money. But how do they stack up?

The VC perspective on successful AI startups
You might have a cool idea for an AI startup, but is it venture backable? General Catalyst's Christopher Kauffman will tell 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.