The Track
A Section Blog
How to drive AI adoption at scale
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.
How we used AI to improve course quality by 20%
One common misperception about AI is that it’s only good for making processes quicker. Education Product Lead, Kyra Atekwana, shared how it also improved our content quality by 20%.
Perplexity AI: What You Need to Know
Perplexity doesn't get as much air time as other AI tools, but its features have the potential to change how you work.
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.
Which LLM is right for your privacy needs?
60% of the knowledge workforce limits their AI use because they’re worried about data privacy and security, according to our latest AI Proficiency Report. So we put together your definitive guide to LLM privacy.
How to drive AI adoption at scale
If you missed Olya Taran’s session at The AI Strategy Summit, you missed one of the most practical frameworks of the day on one of the biggest problems leaders still face: Getting widespread AI adoption. We’re laying it out for you.
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.
