How to Get Real Value from AI in Data AnalyticsHOW WE GOT HERE 02 The evolution of BI 03 What's driving the new generation? GETTING VALUE 04 The beauty of Augmented Analytics 06 Augmenting the user across the analytics cycle 07 Key considerations for AI in analytics 08 The power of machine learning and predictive analytics 09 Caution: Relational databases are limited QLIK’S UNIQUE APPROACH 10 Associative Technology + AI in Qlik® 12 Where to go next with Augmented Analytics APPENDIX: THE CHECKLIST 13 What to consider when you’re evaluating AI in analytics TABLE OF CONTENTSIn the early days, a skilled team within IT managed a complex set of technologies that delivered predefined reports and ad hoc responses to business requests for data. A user would formulate a question, submit it t

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