Remove Artificial Intelligence Remove Cloud Remove Google Remove IoT
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A 5G future

O'Reilly

So what about industrial IoT (IIoT), and sensors that can be built into a sticker and slapped on to machinery? Regardless of power consumption, I’m not convinced we’ll have lots of IoT devices shipping data back to their respective motherships. I do regular backups, but I know I’m the exception. I have 30 or 40 GB of photos.

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What is serverless computing? Driving efficiency without sacrificing observability

Dynatrace

VMware commercialized the idea of virtual machines, and cloud providers embraced the same concept with services like Amazon EC2, Google Compute, and Azure virtual machines. Serverless computing is a cloud-based, on-demand execution model where customers consume resources solely based on their application usage.

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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. In 2016, Google made it clear that since mobile traffic is more than all else, mobile-friendly websites will be prioritised when a user searches on mobile. All this implementation of artificial intelligence has been primarily into the development field.

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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

Greenplum can run on any Linux server, whether it is hosted in the cloud or on-premise, and can run in any environment. Artificial intelligence (AI), while similar to machine learning, refers to the broader idea where machines can execute tasks smartly. Let’s walk through the top use cases for Greenplum: Analytics.

Big Data 321
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What is observability? Not just logs, metrics and traces

Dynatrace

As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to conditions and issues across their multi-cloud environments. Observability relies on telemetry derived from instrumentation that comes from the endpoints and services in your multi-cloud computing environments.

Metrics 363
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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. billion USD by 2025.

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12 Latest Software Test Automation Trends To Look For In 2020

Testsigma

Hyper Automation, DevTestOps Bringing Automation to the testing of different types of devices and experiences – IoT and Multi Experience Autonomous Test Automation Making Automation more Human-Friendly – Democratization. IoT Test Automation. IoT or Internet of Things is an example of that. Autonomous Test Automation.

IoT 78