As data science and AI technologies become more integrated into everyday business processes, more and more companies are seeing their tremendous benefits. But there are challenges with successfully deploying AI in a manner that drives measurable business outcomes. I wanted to share with you some of the best ways to address those challenges and help your data science program succeed.
For more than a decade, numerous companies have expanded their business intelligence resources, investing heavily in analysis of past customer behavior. That investment enabled them to develop rules-based recommendation engines, create better-performing sales strategies, segment consumers for marketing and product design purposes, and so on.
