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AI this Earth Day: Top opportunities to advance sustainability initiatives

IBM Big Data Hub

With 2024 on track to be the hottest year on record , data and AI can be applied to many areas to help supercharge sustainability efforts. We use to collect data from 6,500+ utility bills we receive globally each year and summarize total energy consumption, cost, and renewable electricity purchases across to save many hours of calculations.

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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. They use drones for tasks as simple as aerial photography or as complex as sophisticated data collection and processing. The global commercial drone market is projected to grow from USD 8.15

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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.

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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

The key complexities of the network data layer: Completeness of the data – Some networks produce so much data that often in classical systems for practical reasons many data is simply ignored. Meaning of the data – Network data is far more abstract than for example credit card data.