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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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The path to embedded sustainability

IBM Big Data Hub

Findings revealed that “despite recognizing the link between data and sustainability success, only four in 10 organizations can automatically source sustainability data from core systems such as ERP , enterprise asset management , CRM , energy management, and facilities management.”

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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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The Internet of Things (IoT): Managing the Data Tsunami

Collibra

Continued evolution of chipsets, cloud architectures and AI/ML algorithms will provide evermore scalable storage and computer required to analyse that data. Monetising Data Assets. But exactly how that data is utilized (and potentially monetised) will differ across sectors. Privacy concerns: more data, more problems?

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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.

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10 manufacturing trends that are changing the industry

IBM Big Data Hub

enables manufacturers to conduct real-time data collection and analysis for vast amounts of data, providing them valuable insights into their operations. Extended reality Extended reality (XR) refers to technologies that merge the physical and digital worlds; for example, virtual reality (VR) and augmented reality (AR).