There are stops on the way to “to-be”

He who never had a destination in mind often wandered. It is important to have a highly desired “to-be” state of AI. This state would be the desired state of processes, decision making, people, organization and other related entities. But it is not always advisable to aim for this final destination in the first go. Consider the following four aspects. Are my people ready to accept the new state? Is my data ready to help make decisions in the new state? Will my Impacted process and supporting processes be strong enough to perform in the “to-be” state. And finally, is my data science ready to handle the complexities. Is it even mature enough to deliver good results with reasonable confidence a good number of times? So plan for different variations of these four aspects as your ‘intermediate stops”. These could mean opening up simpler AI for easier decision making to a smaller set of people with a limited, if any change in organizational and process setup. Dream big in terms of destination, but take steps that build confidence in the journey - and you are on your path to practical AI. #abhayPracticalAI #artificialintelligence #ai