Remove Analytics Remove Mining Remove Training Remove Unstructured data
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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

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Leveraging user-generated social media content with text-mining examples

IBM Big Data Hub

One of the best ways to take advantage of social media data is to implement text-mining programs that streamline the process. What is text mining? When used strategically, text-mining tools can transform raw data into real business intelligence , giving companies a competitive edge. How does text mining work?

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Data science vs. machine learning: What’s the difference?

IBM Big Data Hub

It uses advanced tools to look at raw data, gather a data set, process it, and develop insights to create meaning. Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming.

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Capgemini and IBM Ecosystem strengthen partnership for Drone-as-a-Service

IBM Big Data Hub

Different drone requirements require different investments such as commercial drone pilots with specialized continuous training, cutting-edge software and equipment that supports technical payloads (such as LiDAR, thermal cameras and more). The global commercial drone market is projected to grow from USD 8.15 billion in 2022 to USD 47.38

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What Is Our Professional Future?

Brandeis Records Manager

Massive information analysis, tagging, metadata assignment, and classification are a few of those roles that smart machines, once trained, may cover completely: many on the legal side of our profession have already experienced this through technology-assisted review. Perhaps we will monitor massive data grid activity.