An AI keynote pays off more when you arrive with a real situation in mind. You do not need to bring a solution. A well-placed question already gives you a reference to listen, compare and take part.
Before the event, pick a situation you can describe without exposing information you should not share. Note what you are trying to achieve, where the difficulty shows up and what has already been tried.
Prepare a question that opens an investigation
"How do we use AI in the company?" leads to a broad conversation. "What information do we need to gather to notice changes in customer demand?" gives you a concrete starting point. Even if the talk does not cover that exact case, you can spot connections and form sharper questions.
Check the event format. A keynote, a conversation with leadership and a workshop offer different chances to take part. Confirm materials, schedule and access conditions in the official information.
During the talk, note conditions and questions
When you see a demo, write down what it took to make it work. Which materials were available? Which part was prepared in advance? How was the result checked? These questions show the path behind the deliverable.
Keep three notes: one idea that widened your view, one condition your company would need and one question to dig into. That record becomes the basis for the conversation with your team.
After the event
Decide whether it is worth investigating an application, looking for a piece of information or simply keeping a reference. Not every possibility you saw needs immediate action.
In her AI Thinking keynotes, Dani Hayoshi starts from concrete situations to connect possibilities and decisions. To compare formats and terms, see Corporate AI training: how to choose the right one.
Dani Hayoshi is the author of AI Thinking. Her work connects artificial intelligence, education and entrepreneurship. About Dani.