You’re a COO at an airport, and punctuality has dropped to just 57.1% - a key KPI for your role, especially since shareholders are watching closely. Analytics indicate that passengers who were once late tend to arrive late again. The proposal is to mark their luggage with a red sticker and load it last, so it can be removed quickly if they miss boarding.
Your data team brings this idea forward as a trial for 10,000 flights. Your task: evaluate their research with the help of AI and decide whether to support their proposal.
We’re curious to see how you would approach this situation, and possibly solve it, from your perspective. Using AI to focus on risks and the responsible use of AI.
Can you prompt an AI solution to analyse the data, highlight risks and opportunities, and support you in making the right business decision? How would you evaluate the correctness of the outcome(s)? What additional questions would you need to see answered before, during, and after the trial?
