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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. 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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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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Ephesoft Names Naren Goel as Chief Financial Officer

Info Source

As CFO, Goel will enact a progressive and responsible fiscal model as Ephesoft scales to meet the growing global demand for its technology, which enables organizations to mine their unstructured data. Naren has quantifiable experience instituting smart and actionable fiscal plans at growing software companies.

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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. Both data science and machine learning are used by data engineers and in almost every industry.

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

IBM Big Data Hub

Today, utilities and many other industries use drones extensively to conduct surveys, map assets and monitor business operations. They use drones for tasks as simple as aerial photography or as complex as sophisticated data collection and processing. Industry use case: A fully functional digital twin is the result of MAS in action.