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The impact of AI on edge computing

CIO Business Intelligence

AI, including Generative AI (GenAI), has emerged as a transformative technology, revolutionizing how machines learn, create, and adapt. Read more about the impacts AI at the edge is predicted to have on the manufacturing industry in this recent blog. billion in 2027 with a compound annual growth rate (CAGR) of 86.1% over 2023 2.

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Renewable energy in action: Examples and use cases for fueling the future

IBM Big Data Hub

But with all of this new capacity, how are renewable energy resources really being used? More than 110 countries at the United Nations’ COP28 climate change conference agreed to triple that capacity by 2030, and global investment in clean energy transition hit a record high of USD 1.8 trillion in 2023. What is renewable energy?

IoT 110
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Pushing Past Pilot Paralysis to Launch and Scale IIOT Use Cases

Cloudera

With billions of industrial IoT (IIOT) devices in place, generating massive volumes of data from “the edge,” the potential for proof of concept success for use cases in the factory can be paralyzing. Your proof of concept should be an application that will create broad business value which can scale even further. Think big here.

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Broadcom Software Shows Why the Move to the Edge is Accelerating in 2022

CIO Business Intelligence

In December 2021, Broadcom Software published our blog: Predictions for 2022. We will now explore each of these predictions in more depth with this blog series. For this blog our topic is edge computing. For more information on how Broadcom Software can help modernize, optimize and protect your enterprise, contact us here.

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Quality Control Tips for Data Collection with Drone Surveying

Smart Data Collective

Here at Smart Data Collective, we never cease to be amazed about the advances in data analytics. It may seem like all one has to do to use a drone for surveying is learn how to use the drone properly. Drone surveyors must also know how to gather and use data properly. and lead to poor quality through your surveying efforts.

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Keys to Ensure that Data isn’t Slowing Down your Innovation Efforts

Cloudera

Data from sensors on factory equipment, for instance, delivers measurements on machine vibrations and ambient temperatures, which can be used for predictive maintenance to improve efficiencies and control costs. The hard part is to turn aspiration into reality by creating an organization that is truly data-driven. technologies.

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How Can Manufacturing Data Help Your Organization?

Sisense

Manufacturing companies that adopted computerization years ago are already taking the next step as they transform into smart data-driven organizations. Data is a critical tool for identifying where and how that can be done in any manufacturing process. How data enhances product development. It’s easy to see why.