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Navigating the data management maze: How emerging tech and modern solutions are revolutionizing mainframe-to-cloud integration

CIO

Technologies such as AI, cloud computing, and the Internet of Things (IoT), require the right infrastructure to support moving data securely across environments. They find they have limited bandwidth and an inability to perform multiple replications for a variety of data sets both in mainframes and the cloud.

Cloud 249
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Getting Your IoT Projects Off The Ground By Building On Azure

Xebia

If you’re contemplating getting started with IoT or need a nudge in the right direction, this article will highlight some great options to get you started. But even in the latter case, a new IoT platform will still fail if the wrong choices were made in the technology selection, right at the project’s inception.

IoT 130
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The impact of AI on edge computing

CIO

Unlike traditional centralized cloud computing, edge computing brings computation closer to the data source—whether it’s a fleet management, automated industrial machines, drone, or an autonomous vehicle. Transmitting massive amounts of raw data to the cloud can strain network bandwidth. over 2023 2. Bandwidth optimization. Resilience.

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The New Way Companies are Harnessing Data at the Edge for Value Added in Real-Time

CIO

They are playing out across industries with the help of edge computing, Internet of Things (IoT) devices and an innovative approach known as Business Outcomes-as-a-Service. [1] In each case, they are taking strategic advantage of data generated at the edge, using artificial intelligence and cloud architecture.

IoT 299
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Leveraging Microsoft AI: A game changer for manufacturing

CIO

At the edge, AI can work locally with local data generated from a plant’s operational technology layer, including PLCs, controllers, industrial PCs, IoT sensors, cameras, RFID tags, and more. Also, there are different ways to host the models on the edge, optimizing the needed storage and compute capacities of the edge device.

Games 241
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How Industry 4.0 Changes Predictive Maintenance From Mobile Apps And What It Means For The Future ?

OTS Solutions

The Role of IoT in Predictive Maintenance Introduction to IoT in Predictive Maintenance The Internet of Things (IoT) has revolutionized the way industry’s function, and predictive maintenance is no exception. IoT devices can be used to collect performance data from equipment and machinery.

Mobile 130
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IoT Trends: How AI/ML and Edge Computing is Influencing the Future of IoT?

Trigent

At its heart, IoT encompasses the collection and analysis of data, insights, and automation of processes involving machines, people, things, and places. IoT is, therefore, a combination of sensors, actuators, connectivity, cloud and edge computing and storage, AI and ML intelligence, and security. 5G Support for IoT.

IoT 52