The nature of data is changing from static to streaming and from structured to unstructured. But present day big data analytics and intelligence tools weren’t designed for this new real-time data environment. Furthermore, human analysts simply cannot keep up with real-time data; they need automated assistance. To meet these challenges, enterprises will need a new approach to real-time big data analytics and business intelligence. Nova Spivack, CEO and co-founder of Bottlenose will discuss the coming changes, and how automated analyst assistance can help solve them.

Learning Objectives:

  1. Understand major oncoming shifts in the big data analytics landscape
  2. See how real-time intelligence works in action
  3. Determine key considerations for charting a course for enterprise intelligence that can last through the next decade