Remove 2030 Remove Cost-Benefit Remove Data-driven Remove IoT
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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. The world is behind on addressing climate change.

IoT 86
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Sustainability trends: 5 issues to watch in 2024

IBM Big Data Hub

These efforts are often driven by stakeholder expectations, regulatory requirements and the recognition that sustainable business practices can improve the bottom line. These efforts often go hand in hand with broader corporate sustainability initiatives and can lead to significant cost savings and improved environmental performance.

Reporting 100
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How adopting sustainability as a service can drive business success and help the planet

CIO Business Intelligence

This is designed to help manufacturing, transportation and other industries accelerate sustainability initiatives and make data-driven decisions to reduce their carbon footprint and become more efficient through the intelligent use of IoT connectivity. Data lives in silos across the IT and OT environment.

IoT 82
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Enablers of a Sustainable Digital Strategy

CIO Business Intelligence

Climate change concerns have already impacted data center strategies. Take Singapore as an example, where climate change concerns have already impacted data center strategies. We know that for years businesses have built excess capacity into their data center and cloud resources to ensure capacity needs are met at any moment.

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Six EAM trends pushing the oil and gas industries forward

IBM Big Data Hub

through 2030. It offers a holistic view, providing critical data about asset condition, location and efficiency. 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.

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Sustainable IT: A crisis needing leadership and change

CIO Business Intelligence

My first step in that process is sharing some of the great insights I learned with all of you. The rapid expansion of the Internet of Things (IoT), fueled by generative AI, is putting increasing pressure on data centers worldwide. This aspect is about data usage, privacy, and responsible technology innovation. Governance.

IT 91
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Conversational AI use cases for enterprises

IBM Big Data Hub

DL models can improve over time through further training and exposure to more data. Predictive analytics integrates with NLP, ML and DL to enhance decision-making capabilities, extract insights, and use historical data to forecast future behavior, preferences and trends. billion by 2030.