Marc Gilman - GenAI

I agree with many of the points expressed by other contributors. A definite starting point is to revisit the training data. Was the training data properly selected? It is a large enough sample? Can you access an external training dataset if our sample lacks sufficient scale?

1. Schedule an offsite retreat with an exercise that requires cross-team collaboration. 2. Run a brief competition for everyone to submit "best of" customer support team business use cases. 3. Use the business use cases in a joint meeting to rank order them by magnitude of the problem and/or potential ROI. 4. Create a pilot "Tiger Team" selected from the most collaborative members of both teams. 5. Assign a pilot (easiest/fastest) BUC to the Tiger Team.

Many companies have run Executive Leadership AI Bootcamps. The top internal AI specialists teach the ELT. Nothing replaces fear faster than knowledge.

Continual data analysis is a prerequisite for effective prioritization and long-term planning. Daily review of analytics dashboards allows for rapid response to urgent situations. Likewise, regular tracking and reviewing of metrics properly selected for identifying trends is essential. Strategic goals need to have objective metrics that inform us if our tactics are working or if we need to make adjustments. Market situations are constantly evolving. Our skill at collecting and responding to our analytics has a significant impact on our chances of success.

AI powered tools accelerate our research. In order to provide value to global companies, we need to deeply understand their business model, use cases, and current challenges. We want to capture a potential new customer's perspective completely. In designing a solution, we work jointly to build the implementation plan, choose metrics that objectively measure progress and outcomes, and the ROI.

Our team creates the measurement metrics prior to applying any modifications derived from feedback. Metrics employed must effectively improve outputs. The correct selection and design of metrics impact the quality of the final output.