Remove Artificial Intelligence Remove IoT Remove Latency
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Edge Computing Orchestration in IoT: Coordinating Distributed Workloads

DZone

In the rapidly evolving landscape of the Internet of Things (IoT), edge computing has emerged as a critical paradigm to process data closer to the source—IoT devices. This proximity to data generation reduces latency, conserves bandwidth and enables real-time decision-making.

IoT 204
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What is serverless computing? Driving efficiency without sacrificing observability

Dynatrace

When an application is triggered, it can cause latency as the application starts. Connecting IoT devices (for example, AWS IoT Device Management ). This creates latency when they need to restart. The platform builds the trigger to initiate the app. How does serverless computing tackle inefficiencies?

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What is observability? Not just logs, metrics and traces

Dynatrace

Observability is also a critical capability of artificial intelligence for IT operations (AIOps). Observability addresses this common issue of “unknown unknowns,” enabling you to continuously and automatically understand new types of problems as they arise.

Metrics 363
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What is Preventative Maintenance?

VoltDB

Industrial IoT (IIoT): Sensors and devices provide real-time data, enabling condition-based maintenance and improving insights. Companies now leverage AI algorithms to analyze large data sets from connected machinery, detecting patterns that signal wear or impending failures.

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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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The impact of 5G on mobile app development

Tech News Gather

With some unique advantages like low latency and faster speed, 5G aims to give birth to a new era of mobile application development with some innovations. New Opportunities for smart devices and IOT integration. Lower latency and Faster Speed.

Mobile 40
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The Future in Visual Computing: Research Challenges

ACM Sigarch

As a result of these different types of usages, a number of interesting research challenges have emerged in the domain of visual computing and artificial intelligence (AI). Each of these categories opens up challenging problems in AI/visual algorithms, high-density computing, bandwidth/latency, distributed systems.