Achieving Energy Efficiency by Combining IoT, AI, and Cloud Computing

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Categories: IoTCloudAI and MLTechnology

Together, IoT, AI, and cloud computing have the synergistic potential to increase efficiency, optimize performance, and reduce energy consumption. How can organizations use these technologies to address the persistent issue of the CO2 footprint created by large-scale IT infrastructure?

In this whitepaper, see how companies are leveraging sensors and IoT devices to collect data on energy usage and environmental factors, then having AI algorithms analyze the data and provide insights for making more informed decisions about energy usage. You’ll explore energy-saving services from major cloud providers and learn about:

Harnessing sensor data and AI algorithms for informed energy decisions
Optimizing workloads for energy efficiency.
Leveraging AI platforms for energy-saving solutions.
Utilizing IoT to improve energy production and consumption.
Embracing sustainability principles and guidelines in software architecture.
How companies are supporting sustainable solutions in diverse industries.

The paper highlights sustainable practices in cloud computing and discusses the impact of IoT in enhancing energy efficiency, from smart grid sensors to device connectivity in smart cities. It’s time to think about how the convergence of IoT, AI, and cloud computing can help you achieve energy efficiency and sustainability. You’ll find practical lessons and guidelines to help guide informed decisions, optimize energy consumption, and contribute to a greener future.

Want to learn more? Get in touch with GlobalLogic’s Digital Assessment & Advisory team to begin mapping your path to a more sustainable future.

Read the complete whitepaper here.