Remove Artificial Intelligence Remove Data collection Remove Energy and Utilities Remove Government
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AI this Earth Day: Top opportunities to advance sustainability initiatives

IBM Big Data Hub

To drive real change, it’s crucial for individuals, industries, organizations and governments to work together, using data and technology to uncover new opportunities that will help advance sustainability initiatives across the globe. This Earth Day, we are calling for action to conserve our scarcest resource: the planet.

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Public cloud use cases: 10 ways organizations are leveraging public cloud

IBM Big Data Hub

Multi-tenant hosting allows cloud service providers to maximize utilization of their data centers and infrastructure resources to offer services at much lower costs than a company-owned, on-premises data center. artificial intelligence (AI) , edge computing, the Internet of Things (IoT) ).

Cloud 90
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10 manufacturing trends that are changing the industry

IBM Big Data Hub

It integrates advanced technologies—like the Internet of Things (IoT), artificial intelligence (AI) and cloud computing —into an organization’s existing manufacturing processes. Industry 4.0 IDG infographic to understand how you can unlock Industry 4.0 with an asset lifecycle management cloud 2.

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Addressing the network data monetization complexities

IBM Big Data Hub

Volume of the data – Network entities produce very large amounts of data which, when collected, requires enormous storage capacities, resulting in increased energy consumption. Hence, only the consumed data must be collected. And the volume of the data increases by the same factor.

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How AI Could Write Our Laws

Schneier on Security

Big energy companies expect action whenever there is a move to end drilling leases for federal lands, in exchange for the tens of millions they contribute to congressional reelection campaigns. We should expect these techniques to get better and their utilization to grow, just as we’ve seen in so many other domains.