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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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Release 16 EP5 gives Magellan more text mining power and better user experience

OpenText Information Management

In fact, by some estimates nearly 80% of all enterprise information is unstructured data, such as documents, web content, or social media. That’s … The post Release 16 EP5 gives Magellan more text mining power and better user experience appeared first on OpenText Blogs.

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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. Like the Jaguar TCS Racing Team, more and more customers are asking OpenText how to collect their structured and unstructured data to analyze the performance of their digital products or services and the customer's sentiment.

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Announcing OpenText AI and Analytics CE 21.3

OpenText Information Management

It’s reached a point where 95% of businesses consider managing unstructured data a problem. appeared first on OpenText Blogs. Organizations need a way to better understand the information within their enterprise stores, as well as the analytics technologies they leverage to deliver the most relevant insights.

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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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How IBM and AWS are partnering to deliver the promise of AI for business

IBM Big Data Hub

In today’s digital age where data stands as a prized asset, generative AI serves as the transformative tool to mine its potential. IBM, a pioneer in data analytics and AI, offers watsonx.data, among other technologies, that makes possible to seamlessly access and ingest massive sets of structured and unstructured data.

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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. It’s also necessary to understand data cleaning and processing techniques.