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

IBM Big Data Hub

With nearly 5 billion users worldwide—more than 60% of the global population —social media platforms have become a vast source of data that businesses can leverage for improved customer satisfaction, better marketing strategies and faster overall business growth. What is text mining? 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. The global AI market is projected to grow to USD 190 billion by 2025, increasing at a compound annual growth rate (CAGR) of 36.62% from 2022, according to Markets and Markets.

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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.

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

ARMA International

Another example is when sensitive information is removed from transaction data after meeting operational requirements, but the data is kept for analytical processing such as market research and trend analysis. Leveraging a cloud-first approach also allows organizations to deliver new market-leading solutions more expediently.

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AI helps you hear your customers’ voice

OpenText Information Management

Your customers are talking to you, and about you, but are you gaining any value from those conversations? Success in business requires a relentless focus on customers. And learning from their own words provides you with the insight to better engage with them through the personal experience they expect.