With the latest GenAI hype wave, many executives are asking data teams, "can't we just use AI to do this?". Execs and business leads often don't know enough about traditional ML or Generative AI to assess the utility of these tools, bogging down data scientists with unrealistic requests. This session provides data scientists with a foundation of questions to ask over-eager execs to evaluate and prioritize ML use cases through a series of workshops.
Depending on the maturity of the data science practice and the expertise of the business lead in question, we've found three different types of workshops valuable in helping to educate and inspire: 1. Use Case Workshop: to identify business pain points and brainstorm connections to ML/GenAI solutions. 2. Prioritization workshop: Optional follow-on to the use case workshop to identify the highest ROI use cases 3. Requirements workshop: deep dive into a specific problem to identify the core users, the proposed solution, and the expected impact.
Attendees will receive a sample workshop agenda, templates, and tips for effective virtual and in-person facilitation.
