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Act locally, connect globally with IoT and edge computing

All Things Distributed

But they usually have little to no internet connection, making the challenge of exploring environments inhospitable for humans seem even more impossible. The answer to this question is actually on your phone, your smartwatch, and billions of other places on earth—it's the Internet of Things (IoT).

IoT 126
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Revolutionizing System Testing With AI and ML

DZone

This can include the use of cloud computing, artificial intelligence, big data analytics, the Internet of Things (IoT), and other digital tools. The digital transformation of businesses involves the adoption of digital technologies to change the way companies operate and deliver value to their customers.

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Microsoft Ignite 2023 guide: AI transformation and Microsoft Azure

Dynatrace

The surge of the internet of things (IoT) has led to the exponential growth of applications and data processing at the edge. Furthermore, an accelerating digital-centric economy pushes us closer to the edge—processing client data as close to the originating source as possible.

Azure 130
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Observations on the Importance of Cloud-based Analytics

All Things Distributed

Many of these innovations will have a significant analytics component or may even be completely driven by it. For example many of the Internet of Things innovations that we have seen come to life in the past years on AWS all have a significant analytics components to it. Cloud analytics are everywhere.

Analytics 136
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Embrace Digital Transformation: Empowering Users with Digital Wallet App Development Solutions

Tech News Gather

P2P lending apps use algorithms and data analytics to evaluate interest rates and the creditworthiness of borrowers. PWAs can load quickly, work even when users aren’t connected to the internet, send push notifications, and create a consistent user experience across devices.

FinTech 40
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The Next Generation in Logistics Tracking with Real-Time Digital Twins

ScaleOut Software

Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications in operational environments such as these require. With the real-time digital twin model, the next generation of streaming analytics has arrived.

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The Next Generation in Logistics Tracking with Real-Time Digital Twins

ScaleOut Software

Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications in operational environments such as these require. With the real-time digital twin model, the next generation of streaming analytics has arrived.