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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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Digital twins reimagined at scale for energy and resources 

OpenText Information Management

We rely on machines to ensure water comes out of our faucets, heat our homes and businesses, fill our cars with petrol or electricity, construct and maintain roads, transport people and goods, provide medical images, and manufacturing more machines. GenAI : Predictive machine analytics at scale. Are you ready to take action?

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Leopard Spots and Zebra Stripes: Fraud and Behavioral Analytics

Thales Cloud Protection & Licensing

Luckily, zebras don’t use mobile devices, or manufacturers would be hard at work on stripe recognition technology. But they’d also be working to supplement their stripe recognition and biometrics with behavioral analytics. About six months ago, I got an email from a good friend of mine, who I’ll call Alex (not his real name).

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Improving supply chain resiliency in the industrial sector

IBM Big Data Hub

80% of manufacturers report MRO asset management in their facilities needs improvement 60% of construction companies admit their industry is behind when it comes to adopting digital technology 5 ways the industrial sector can improve its supply chain resiliency 1. This equipment is critical to expanding capacity for chip production.

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Process Excellence: A transformational lever to extreme automation

IBM Big Data Hub

All are transforming their procurement operations by leveraging state-of-the-art process mining and intelligent automation technology. A Process Mining exercise drawing data from enterprise SAP has helped measure KPI performance and define the transformation roadmap. dollars annually in direct or indirect procurement.

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Artificial Intelligence: 6 Step Solution Decomposition Process

Bill Schmarzo - Dell EMC

The conversation is simple because the objective is simple: How do I become more effective at leveraging (big) data and analytics (artificial intelligence) to power my business? If success is simply adopting and deploying advanced analytics technologies, then you don’t need strategic guidance to chart that journey. It’s simple.

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Seven top central processing unit (CPU) use cases

IBM Big Data Hub

As an example of what such a monumental number means from a different perspective, chip manufacturer Ar m claimed to have shipped 7.3 Data analytics The goal of data analytics is to take raw data and refine it into an understandable narrative that addresses business goals. There are approximately 7.8 million seconds in 3 months.)