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.
Prioritize the right metrics for your 2024 product roadmap
It's challenging to craft a product roadmap that balances different (sometimes competing) visions for the product. Get a deep dive into how we prioritize our roadmap using Gibson Biddle's framework for growth, engagement, and monetization.
Your privacy guide to AI chatbots
We hear concerns about AI’s privacy policies every day, so let’s dig in. Here’s our guide to how the most popular LLMs treat your data (as of October 2023).
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.
