Remove 2016 Remove Statistics Remove Unstructured Data
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6 Spectacular Reasons You Must Master the Data Sciences in 2020

Smart Data Collective

Data Science is a field that extracts useful information from loads of structured and unstructured data using algorithms, statistics, and programming. Its primary focus is to use user-generated data to good use. The concept of data science was first introduced in 2001, but it started gaining popularity in 2010.

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Top 10 IT & Technology Buzzwords You Won’t Be Able To Avoid In 2020

datapine

Currently, popular approaches include statistical methods, computational intelligence, and traditional symbolic AI. This feature hierarchy and the filters that model significance in the data, make it possible for the layers to learn from experience.

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Belcorp reimagines R&D with AI

CIO Business Intelligence

The R&D laboratories produced large volumes of unstructured data, which were stored in various formats, making it difficult to access and trace. Working with non-typical data presents us with a reality where encountering challenges is part of our daily operations.”

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Modernize Using The BI & Analytics Magic Quadrant

Rita Sallam

Gartner revamped the BI and Analytics Magic Quadrant in 2016 to reflect the mainstreaming of this market disruption. Q2: Would you consider Sisense better than others in handling big and unstructured data? A modern BI platform supports IT-enabled analytic content development. Answer: Better than every other vendor?