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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?

Mining 56
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Observations about Legaltech 2020 from Attendees: eDiscovery Trends

eDiscovery Daily

— Lilith Bat-Leah, CEDS, Director, Data Science, Fronteo. We’ll publish the rest of the observations tomorrow (including mine)! The post Observations about Legaltech 2020 from Attendees: eDiscovery Trends appeared first on CloudNine. — Mary Mack, CEO & Chief Legal Technologist, EDRM.

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Three trends that will help organizations modernize their data warehouse

Information Management Resources

The adoption of machine learning and the need for access to data beyond just data science team is changing how many firms approach information warehousing.

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How to Take Your Business to The Next Level with Data Intelligence

erwin

With tools such as Artificial Intelligence, Machine Learning, and Data Mining, businesses and organizations can collate and analyze large amounts of data reliably and more efficiently. Several hospitals have also employed data intelligence tools in their services and operational processes.

Analytics 103
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Part 1: OMG! Not another digital transformation article! Is it about understanding the business drivers?

ARMA International

Here, Part 1 discusses the key DT business drivers, concepts, and technology trends, how they are transforming organizations and society, and how the trends are affecting business users and customers. Some technology trends such as real-time data analytics are on-going, while others are more recent, such as blockchain.