Global Augmented Analytics Market was valued US$ 4.6Bn in 2018 and is expected to reach US$ 20.2Bn by 2026 at a CAGR of 19.98%. This report provides a detailed analysis of the market segment based on insurance type, sales channel and region. This report also focuses on the top players in North America, Europe, Asia Pacific, Middle East & Africa, and South America. The objective of the report is to present a comprehensive assessment of the market and contains thoughtful insights, facts, historical data, industry-validated market data and projections with a suitable set of assumptions and methodology. The report also helps in understanding the global augmented analytics market dynamics, structure by identifying and analysing the market segments and project the global market size.
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The next generation of business intelligence (BI) and analytics products are harnessing heuristics, machine learning (ML) and automation to improve data access and data quality, suggest data sources and analyses, uncover previously hidden insights, and serve up predictions and even suggest actions. What's more, natural language (NL) query interfaces and NL generation features are making it easier for users without knowledge of data science or query languages to develop insights and make better decisions based on data. In the BI and analytics arena, these emerging ML-, automation- and NL-based features are best known as "smart" capabilities. These features are designed to help untrained businesspeople, as well as experienced analysts, make better, data-driven decisions more quickly and easily. Constellation sees smart analytics as the next step toward democratization, as even with today's self-service tools, analysts and power users typically create dashboards and reports for broad consumption.
Artificial Intelligence (AI) is rapidly making its inroads in our personal and professional lives. It is a technological advancement that is transforming and benefiting the quality of life, jobs, organizations, industries and global economy. My point of view is that AI or cognitive computing will augment the role of the project manager. The technology has tremendous potential to enhance and scale. The following white-paper'The augmented project manager', describes how artificial intelligence technologies like machine learning and natural language processing can impact project management.