Challenges Faced In Operationalizing AI

With surmounting interest in data science and the fast-growing Data Scientist community, AI as a technology has come a long way crossing the chasm from Innovators and early adopters to the Early Majority. Along with all the hype that's there today around AI, there is still the unaddressed issue of less than 12% models reaching the production stage Data Scientists are creating models day in and day out but there are millions of models that are still waiting to see the light of the day in production. While the usual belief is that the deployment should need fewer days than building a model but it is becoming the most challenging issue of the industry today. Building the model is one thing, what's more, challenging is operationalizing AI. Analytics challenged leadership: This one serves as the major hurdle in operationalizing AI.