Remove Artificial Intelligence Remove Data 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 195
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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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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

It can scale towards a multi-petabyte level data workload without a single issue, and it allows access to a cluster of powerful servers that will work together within a single SQL interface where you can view all of the data. This feature-packed database provides powerful and rapid analytics on data that scales up to petabyte volumes.

Big Data 321
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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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Microsoft Ignite 2023 guide: AI transformation and Microsoft Azure

Dynatrace

Exploring AI transformation at the verge of sustainability and edge computing On the verge of a data-driven digital transformation 2.0 , CIOs are under greater pressure to deliver real-world business value from transformation initiatives. Continue reading to learn why this is important and what it means for Azure customers.

Azure 130
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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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Software Testing Trends 2021 – What can we expect?

Testsigma

The usage by advanced techniques such as RPA, Artificial Intelligence, machine learning and process mining is a hyper-automated application that improves employees and automates operations in a way which is considerably more efficient than conventional automation. IoT Test Automation. Hyperautomation. In 2021 what can we expect?