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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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The most valuable AI use cases for business

IBM Big Data Hub

Promote cross- and up-selling Recommendation engines use consumer behavior data and AI algorithms to help discover data trends to be used in the development of more effective up-selling and cross-selling strategies, resulting in more useful add-on recommendations for customers during checkout for online retailers.

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Real-time analytics on IoT data

IBM Big Data Hub

Join SingleStore and IBM on September 21, 2022 for our webinar “ Accelerating Real-Time IoT Analytics with IBM Cognos and SingleStore ”. Why real-time analytics matters for IoT systems. IoT systems access millions of devices that generate large amounts of streaming data. Inventory optimization (in retail).

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Companies need help making the dream of digital transformation a reality

IBM Big Data Hub

Organizations can mitigate this scenario by leveraging advanced analytics, artificial intelligence (AI) and machine learning (ML) to build next-generation capabilities today. Dublin-based Glen Dimplex has sales, manufacturing and distribution facilities around the world. This is especially important in customer interactions.

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How to Improve Your Big Data Management

Reltio

With the advent of big data processing, organizations can translate that data into knowledge that improves decision-making, performance and business processes. The ever-growing field of big data has presented both opportunities and challenges for businesses across a wide range of industries. Challenges in Managing Big Data.