Remove Data Processing Remove Internet of Things Remove Optimization Remove Risk
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IoT And Cloud Integration is the Future!

Smart Data Collective

From smart homes to wearables, cars to refrigerators, the Internet of Things (IoT) has successfully penetrated every facet of our lives. The market for the Internet of Things (IoT) has exploded in recent years. This instant feedback loop is crucial for IoT devices to function optimally and improve user experiences.

IoT 119
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10 Examples of How Big Data in Logistics Can Transform The Supply Chain

datapine

You can use big data analytics in logistics, for instance, to optimize routing, improve factory processes, and create razor-sharp efficiency across the entire supply chain. This isn’t just valuable for the customer – it allows logistics companies to see patterns at play that can be used to optimize their delivery strategies.

Big Data 275
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Sustainability trends: 5 issues to watch in 2024

IBM Big Data Hub

Investors, regulators and stakeholders are increasingly demanding that companies disclose their exposure to climate-related risks , such as dependence on fossil fuels or vulnerability to weather events. The smart factories that make up Industry 4.0

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Invoke AWS Lambda functions from cross-account Amazon Kinesis Data Streams

AWS Big Data

It also mitigates risks, improves scalability, and allows for advanced networking configurations. This integration supports various use cases, including real-time analytics, log processing, Internet of Things (IoT) data ingestion, and more, making it valuable for businesses requiring timely insights from their streaming data.

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National Grid’s energy transformation is fueled by IT

CIO Business Intelligence

These capabilities allow us to reduce business risk as we move off of our monolithic, on-premise environments and provide cloud resiliency and scale,” the CIO says, noting National Grid also has a major data center consolidation under way as it moves more data to the cloud. Optimizing with machine learning.

IT 94
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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. To fulfill this, companies can be transparent about their strategies and risk management.

IT 82
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The Data Behind Tokyo 2020: The Evolution of the Olympic Games

Sisense

Not only does it support the successful planning and delivery of each edition of the Games, but it also helps each successive OCOG to develop its own vision, to understand how a host city and its citizens can benefit from the long-lasting impact and legacy of the Games, and to manage the opportunities and risks created.