Join us for a talk on how to bring AI into your day-to-day operations. Everyone is talking about AI, but how do we get beyond the hype to know what use cases are actually practical and actionable?

Successful teams start by managing AI solutions as products, by first understanding the data requirements, then designing around the insight provided and the workflow changes to actually adopt the AI solution. This means carefully considering our operational and knowledge gaps rather than trying to squeeze AI into everything.

By now we’ve all played with tools like ChatGPT, so now it’s time to get real — proposing AI solutions that go deeper:

• Concrete thinking about what business problems might be well-suited to AI solutions.
• Going beyond “I’ve played with ChatGPT and Gemini and Copilot” to integrating AI tools into our workflows.
• Thinking deeper than “Well, Zoom and Notion and every other platform I use is incorporating AI, so I’m all set”.
• Identifying and articulating use cases, so when you bring them to a team to build, they’ll actually be starting in an informed place.
• How to address the question: “We have data. How long will it take you to do cool AI stuff with it?”