Remove 2030 Remove Cost-Benefit Remove Internet of Things Remove Machine Learning
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Sustainability trends: 5 issues to watch in 2024

IBM Big Data Hub

These efforts often go hand in hand with broader corporate sustainability initiatives and can lead to significant cost savings and improved environmental performance. Instead of seeing things as disposable, it encourages the reuse and recycling of products. trillion in economic benefits by 2030.

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AI this Earth Day: Top opportunities to advance sustainability initiatives

IBM Big Data Hub

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. Our approach includes applying AI, Internet of Things (IoT), and advanced data and automation solutions to empower this transition.

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Six EAM trends pushing the oil and gas industries forward

IBM Big Data Hub

through 2030. More recently, these systems have integrated advanced technologies like Internet of Things (IoT), artificial intelligence (AI) and machine learning (ML) to enable predictive analytics and real-time monitoring. equipment, machinery and infrastructure).

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Conversational AI use cases for enterprises

IBM Big Data Hub

Machine learning (ML) and deep learning (DL) form the foundation of conversational AI development. ML and DL lie at the core of predictive analytics, enabling models to learn from data, identify patterns and make predictions about future events. billion by 2030.