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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. However, managing distributed workloads across various edge nodes in a scalable and efficient manner is a complex challenge.

IoT 195
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Machine Learning and AI in IIoT Monitoring: Predictive Maintenance and Anomaly Detection

DZone

The Industrial Internet of Things ( IIoT ) has revolutionized the industrial landscape, providing organizations with unprecedented access to real-time data from connected devices and machines. This wealth of data holds the key to improving operational efficiency, reducing downtime, and ensuring the longevity of industrial assets.

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Leveraging ML-Based Anomaly Detection for 4G Networks Optimization

DZone

Artificial intelligence and machine learning already have some impressive use cases for industries like retail, banking, or transportation. In this article, we will look at our own research on how to make the operations of internet providers more effective.

Network 130
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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

Greenplum has a uniquely designed data pipeline that can efficiently stream data from the disk to the CPU, without relying on the data fitting into RAM memory, as explained in their Greenplum Next Generation Big Data Platform: Top 5 reasons article. Query Optimization. Let’s walk through the top use cases for Greenplum: Analytics.

Big Data 321
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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. Microsoft defines sustainability as having a strong digital foundation to track and manage data and adopt data-driven solutions to accelerate progress and reduce an organization’s carbon footprint.

Azure 130
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To understand the risks posed by AI, follow the money

O'Reilly

By Rufus Rock , UCL ; Tim O’Reilly , UCL ; Ilan Strauss , UCL ; and Mariana Mazzucato , UCL This article is republished from The Conversation under a Creative Commons license. These platforms made markets more efficient and delivered enormous value both to users and to product suppliers.

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What Is a Workload in Cloud Computing

Scalegrid

This article analyzes cloud workloads, delving into their forms, functions, and how they influence the cost and efficiency of your cloud infrastructure. Utilizing cloud platforms is especially useful in areas like machine learning and artificial intelligence research.

Cloud 130