The Track
A Section Blog
Is Deep Research worth $200 a month?
Sponsor your direct reports, don’t just mentor them
Your team needs both mentorship and sponsorship to thrive. We'll unpack the difference between a mentor and sponsor, and share DEI expert Mita Mallick's guidance on why both roles are essential.
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).
Think like the company disrupting you
At a recent offsite, our CEO Greg posed this question: “When Section is disrupted, what will our competitor do to make us seem obsolete”? Check out our framework for getting ahead of your future competition.
Meet the professor: Google’s Ted Souder from Building an AI-First Organization
Ted Souder is back to teach our Building an AI-First Organization workshop. Get to know him a little better (and why we keep bringing him back for more).
What is Prompting for AI? The Beginner's Guide to AI Prompt Writing
What is prompting? In this beginner's guide to instructing AI models like ChatGPT through written prompts, you'll earn the basics of prompting for natural AI conversations.
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.
