Remove IoT Remove Latency Remove Logistics
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These 7 Edge Data Challenges Will Test Companies the Most in 2025

VoltDB

By bringing computation closer to the data source, edge-based deployments reduce latency, enhance real-time capabilities, and optimize network bandwidth. Data Overload and Storage Limitations As IoT and especially industrial IoT -based devices proliferate, the volume of data generated at the edge has skyrocketed.

IoT 52
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Expanding the Cloud – An AWS Region is coming to Hong Kong

All Things Distributed

This enables customers to serve content to their end users with low latency, giving them the best application experience. In 2008, AWS opened a point of presence (PoP) in Hong Kong to enable customers to serve content to their end users with low latency. Since then, AWS has added two more PoPs in Hong Kong, the latest in 2016.

AWS 126
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Top 5 AI Use Cases for IIoT: Enhancing Industrial Operations with Real-Time Data

VoltDB

Volt’s architecture supports energy management applications with its low-latency, high-availability data processing, making it ideal for tracking and optimizing real-time energy usage across industrial sites.

Energy 52
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What is Intelligent Manufacturing?

VoltDB

Increased efficiency Leveraging advanced technologies like automation, IoT, AI, and edge computing , intelligent manufacturing streamlines production processes and eliminates inefficiencies, leading to a more profitable operation. Let’s take a look.

IoT 52
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What is a Real-Time Data Platform?

VoltDB

Some of the most common use cases for real-time data platforms include business support systems, fraud prevention, hyper-personalization, and Internet of Things (IoT) applications (more on this in a bit). One common problem for real-time data platforms is latency, particularly at scale.

IoT 52