Expand the Power of AI with New Data Sources Accenture

Imagine this: an online bookstore aims to deliver more personalized recommendations. Based on internal customer data–collected from registrations, purchases and other direct interactions--the bookstore knows it has 1,000 customers who are between 25 and 35 years old, female, and readers of science fiction novels. Relying only on this data, the most that can be done for this group is personalization based on age, gender, and reading preferences. But what if the bookstore knew that 100 people in this group had recently spent several weekends on mountain bike trails? What if it knew that 300 had liked social media posts related to a musician that had just published a biography?