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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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Anomaly detection in machine learning: Finding outliers for optimization of business functions

IBM Big Data Hub

Anomalies are not inherently bad, but being aware of them, and having data to put them in context, is integral to understanding and protecting your business. The challenge for IT departments working in data science is making sense of expanding and ever-changing data points.

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7 Reasons Why Businesses Should Adopt A Modern MDM Platform

Reltio

A leading PC & printer manufacturer & re-seller created a single global view of accounts. A top used car retailer consolidated data from 155+ store systems in less than 15 weeks to drive omnichannel customer experience. Reduced IT & Operational Cost. Fast Path to Digital Transformation. Speed to Value.

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Top Unified Endpoint Management (UEM) Solutions

eSecurity Planet

“We are seeing endpoint management teams ask for DEX capabilities that are tightly integrated with UEM to provide customers with the means to deliver and measure rich telemetry, analyze using data science, and proactively remediate user experience issues across endpoints, apps, network, and access,” said Kunduri. Key Differentiators.

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