Remove Artificial Intelligence Remove Internet Remove IoT
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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 Greenplum Database? Intro to the Big Data Database

Scalegrid

Greenplum provides a powerful combination of massively parallel processing databases and advanced data analytics which allows it to create a framework for data scientists and architects to make business decisions based on data gathered by artificial intelligence and machine learning. So who’s using Greenplum today?

Big Data 321
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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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Expanding the AWS Cloud: Introducing the AWS Europe (London) Region

All Things Distributed

The council has deployed IoT Weather Stations in Schools across the City and is using the sensor information collated in a Data Lake to gain insights on whether the weather or pollution plays a part in learning outcomes. The British Government is also helping to drive innovation and has embraced a cloud-first policy for technology adoption.

AWS 157
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The journey to modern manufacturing with AWS

All Things Distributed

From the Internet of Things (IoT) to Artificial Intelligence (AI) and task automation to predictive maintenance technology, the advancements in this space are creating a world of new opportunity. Some of their equipment was designed before the internet even existed.

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Top Software testing trends to look out for in 2022

Testsigma

2015 saw the trend of scriptless testing and IoT focussed methodologies. Another software testing trend to watch out for in 2022 is artificial intelligence(AI) and machine learning(ML). All this implementation of artificial intelligence has been primarily into the development field. IoT automation testing.

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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