Plan on measuring success of AI

So how will you measure success of AI? As you start planning your AI implementation, ensure that there is enough thought given to it’s success measures. This needs to be done carefully though. If you are implementing AI for lead scoring, your ultimate success measure might be better conversion rate from leads to accounts. But can you really measure the contribution of lead scoring towards lead conversion? There are many other factors that contribute towards lead conversion. You might have to look for measures that are closer to the lead scoring process, like may be acceptance of lead as qualified by your marketing team based on the score. This might be measured through an inbuilt survey (e.g,did this score help you decide?) or some other built in telemetry. Thus tracking multiple measures along with results of AI over time might help understand it’s success. There is one more aspect to this. Mostly AI helps relieve the stress of decision making. But did it serve that purpose. May be surveys to understand the help provided by AI in decision making might provide more success measures. Build in these measures of success during your implementation and you will take you one more step towards practical AI. #abhayPracticalAI #artificialintelligence #AI