Augmented Analytics Report 2019: Future of Business Intelligence - Leveraging ML, AI, NLG - ResearchAndMarkets.com
Summary
Augmented analytics technology leverages machine learning (ML)/artificial intelligence (AI) and natural language generation (NLG) to enhance data analytics process by automating data analysis and sharing the insights in a intuitive visual format. The technology is primarily aimed at empowering non-technical/non-data scientist users to effectively perform data analytics on their own without any data skills. The users can easily derive insights from augmented analytics solutions by just simple drag and drop or with a single click of a button which will boost productivity. The other objective of the technology is to free up technical analysts and data scientists from running routine and basic reports, empowering them to charge ahead and tackle more complex queries and data science projects. In brief, this research service covers the following points: 2.1 Augmented Analytics has the Potential to Enhance Process, Consumer Experience, and Business Model 2.2 Ability to Save Time and Resources is the Key Factor Driving the Adoption of Augmented Analytics 6.1 2019 is Expected to be a Major Year of Investment from the UK in the Augmented Analytics Space 6.2 Initiatives by the State Governments of India State for Improving the Education System are Paving the Way for Augmented Analytics 6.3 Japan Government is Pushing Majorly on Smart Infrastructure Development Projects Across the Country 7.1 AI Related Innovations are Booming, Thereby Shifting from Theoretical Research to Commercial Applications For more information about this report visit https://www.researchandmarkets.com/r/jymk11
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