A little over a year ago, a Gartner report stated that “augmented analytics is the future of data and analytics.” In just a short time, the future has arrived. Thanks in large part to the use of AI and the rise of augmented analytics, business users are closer than ever to their data and, more important, to actionable insights.
The wall between the answers and the people asking the questions has toppled. In a nutshell, augmented analytics uses machine learning and natural language processing to automate data analysis and the presentation of insights. By combining artificial intelligence (AI) with business intelligence (BI), non-technical users can now automate major aspects of their data analytics.
Author: Pete Reilly