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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 84
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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. 2 For example, some are turning to software solutions that can more easily capture, manage and report ESG data. trillion in economic benefits by 2030.

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The Economy of Things: the next value lever for telcos

IBM Big Data Hub

Over the years, the Internet of Things (IoT) has evolved into something much greater: the Economy of Things (EoT). The number of IoT connected devices are growing in practically every industry, and is even predicted to reach 29 billion worldwide by 2030. These IoT connected devices form a critical backbone of data for industry.

IoT 54
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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.

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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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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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Huawei’s 20-year journey in Malaysia

CIO Business Intelligence

Huawei is both pleased and honoured to have had opportunities to work with some of the leading telecommunications companies in Malaysia over the past two decades, particularly on connectivity-driven initiatives in recent years. Cloud Computing: TM ONE Alpha Edge. This was accomplished by the end of 2021.