Challenges in deploying AI / ML in Enterprises
Enterprise Data is typically scattered across applications and organizations struggle to get all their business-critical data in once place. The next challenge lies in having data scientists to work on the models. There is demand and supply skew for experienced data scientists and you want them to be most productive if you have them. Teaching data science to business users or IT consultants is not an option as building models requires a deep skillset that takes a while to acquire. The time taken to build each model can stretch to several months which leads to piling up of data science projects leading to user dissatisfaction. The business opportunity passes by.