Understand your organization’s primary metric

My previous post was about understand and aligning with organizational purpose before defining your AI use cases. Another thing to understand at the organizational level is its primary metric. Not a bunch of KPIs, but just a few - preferably one. This is that one metric (or at best a select few) that can guide processes, people and other resources. For example, assume you are a retail company. And that the uber initiative driving the company’s future is moving from brick and mortar to online sales. Maybe revenue from online sales as a percentage of total sales is your primary metric. Understanding this will help focus your AI use cases towards organization’s benefit. You can then examine process and decisions to understand their role in achieving the goal set for that primary metric. With that clarity, it would be easier to design AI use cases that advance that cause. This might also help you define measurable acceptance criteria for your prediction rule. Link your AI use cases to the primary metric, and you are one step closer to practical AI. #abhayPracticalAI #machinelearning #artificialintelligence