Predictive Analytics has gained tremendous significance over the last few years, and it’s only increasing by the day. Powered by Artificial Intelligence tools and techniques, it is being applied to almost every industry and every field today. And these tools are being super-charged by real-time data. As you’d very likely know, World has created 90% of all data in the last 2 years. But is this data really organized, and how do we make sense out it?
After spending a substantial amount of time talking to business and solving their problems, here are what I think are the critical problems preventing organizations in adopting Predictive Analytics:
Data data everywhere, not a byte relevant:
– How do we know which data is relevant for solving which problem?