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Containerization: Better Quality Assurance Through Automation

Datavail

Quality assurance” (QA) refers to the procedures for verifying that a software application meets the defined standards, auditing, and evaluation of a product at each stage of development—from requirements gathering all the way through testing and maintenance. Another benefit of containers is that they are highly modular and scalable.

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Mobot secures capital to grow its fleet of robots that bug-test mobile apps

TechCrunch

Rather, our goal is to replace the inevitable manual quality assurance that everyone is still having to do and will increasingly have to do as device fragmentation grows in the next five to ten years.” Is robotics-based testing a scalable idea? ” Image Credits: Mobot. ”

Mobile 227
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8 Most in Demand Programming Languages of 2021

The Crazy Programmer

It is a very versatile, platform independent and scalable language because of which it can be used across various platforms. It is frequently used in developing web applications, data science, machine learning, quality assurance, cyber security and devops. It is highly scalable and easy to learn.

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12 AI predictions for 2025

CIO

He expects the same to happen in all areas of software development, starting with user requirements research through project management and all the way to testing and quality assurance. Weve seen so many reference implementations, and weve done so many reference implementations, that were going to see massive adoption.

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How BQA streamlines education quality reporting using Amazon Bedrock

AWS Machine Learning - AI

BQA oversees a comprehensive quality assurance process, which includes setting performance standards and conducting objective reviews of education and training institutions. An event notification is sent to an Amazon Simple Queue Service (Amazon SQS) queue to align each file for further processing.

Education 102
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How to manage data integration during an acquisition

CIO

A hybrid cloud approach means data storage is scalable and accessible, so that more data is an asset—not a detriment. This is especially true for quality assurance (QA) testing of companies’ applications. The use of AI will only continue to rise, making this capability crucial for decision-making.

Data 195
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Tiger Global leads cash infusion into Elementary for automated manufacturing inspection

TechCrunch

Elementary’s tools enable customers to create no-code inspection routines and train models to inspect produced goods, parts and assemblies that were previously impossible to inspect manually, in a repeatable and scalable way. cloud initiatives, and quality/sustainability initiatives in a fast and easy path.”.