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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

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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Make smarter decisions with customer insights and analytics

OpenText Information Management

One of the best ways to stand out from the crowd is to know your customers – mining insights from their behaviors to improve the overall journey. Get closer to your customers with multi-channel interaction analytics in … The post Make smarter decisions with customer insights and analytics appeared first on OpenText Blogs.

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ABBYY Partners with Alteryx Extending the Alteryx Analytic Process Automation Platform with Deeper Process Intelligence

Info Source

NYSE: AYX), a leader in analytic process automation (APA ), to deliver process intelligence capabilities that complement the Alteryx Analytic Process Automation Platform. The Alteryx APA Platform unifies analytics, data science and data-centric process automation in one self-service platform. MILPITAS, Calif.,

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics. But today, dashboards and visualizations have become table stakes.

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Announcing OpenText AI & Analytics Cloud Editions (CE) 20.2

OpenText Information Management

Until recently, the word “disruptive” was used to describe competitors, technologies and business models that could radically change the market that a company competed in. appeared first on OpenText Blogs.

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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.