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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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Insight is the new GOLD

OpenText Information Management

But the reality is that the challenges my children will face will be vastly bigger than mine. We’ve already seen so many examples of it happening. Raw, structured, and unstructured data is just the start. But from there, organizations must transform data into insight. As OpenText™ CEO and CTO, Mark J.

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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics. It focuses on data collection and management of large-scale structured and unstructured data for various academic and business applications.

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

IBM Big Data Hub

Data science is a broad, multidisciplinary field that extracts value from today’s massive data sets. It uses advanced tools to look at raw data, gather a data set, process it, and develop insights to create meaning. One challenge in applying data science is to identify pertinent business issues.

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Part 2: OMG! Not another digital transformation article! Is it about the evolution from RIM to Content Services?

ARMA International

For example, once a health record has met the regulatory requirements, the record can be anonymized and kept for years for such purposes as medical research and predictive analytics. See Table 1 listing some common examples of the “art of the possible. See Table 2 for a few examples. Auto-classification.

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

IBM Big Data Hub

The flexibility of DaaS in offering a multiplicity of data collection services for different industry use cases makes it unique. For example, for switchyard inspection, a drone would carry thermal imaging cameras, while for an overhead asset survey and inspection, appropriate LiDAR sensors would be used to capture data.

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What Is Our Professional Future?

Brandeis Records Manager

We can also partner with technology in the near term to mitigate the chaos-for example, using R programming tools to mine text, categorize, cluster, and de-duplicate unstructured data collections. Organizations don’t want ugly headlines, and some actually do something about it through our services.