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Digital twins reimagined at scale for energy and resources 

OpenText Information Management

1 The ratio between man and machine All industries use machines, yet the energy and resources sector including utilities , oil and gas , chemicals , and metals & mining industries is the most capital intensive. trillion of annual capital investment is made in the energy industry today and by some estimates will grow to $9.2

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Capgemini and IBM Ecosystem strengthen partnership for Drone-as-a-Service

IBM Big Data Hub

Today, utilities and many other industries use drones extensively to conduct surveys, map assets and monitor business operations. Additionally, DaaS has the potential to leverage smart technologies such as IoT, sensors, 5G, edge analytics and machine learning to improve the monitoring and visualization of assets operations.

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Seven top central processing unit (CPU) use cases

IBM Big Data Hub

Data analytics The goal of data analytics is to take raw data and refine it into an understandable narrative that addresses business goals. In addition, the high clock speeds achieved by CPUs make them perfectly suited to handle the type of rapid-fire scanning and retrieval of information that data analytics requires.