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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. Do you even have what could be described as a “QA organization”?

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5 dead-end IT skills — and how to avoid becoming obsolete

CIO

Maintaining network devices like routers, switches, and firewalls by hand are examples.” Quality assurance and application testing Application testing is a skill that’s likely to be augmented by AI if not replaced entirely, says Ram Palaniappan, CTO at TEKsystems.

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Member of the Band – Manuel Rodriguez, Senior Software Quality Assurance Consultant

Gorilla Logic

Manuel Rodriguez — Senior Software Quality Assurance Consultant. Manuel is a Senior Software Quality Assurance Consultant here at Gorilla Logic. He has been working in Development and Quality Assurance for over 10 years. The moment you realize they look up to you as an example, you feel terrified!

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12 AI predictions for 2025

CIO

For example, the previous best model, GPT-4o, could only solve 13% of the problems on the International Mathematics Olympiad, while the new reasoning model solved 83%. Take for example the use of AI in deciding whether to approve a loan, a medical procedure, pay an insurance claim or make employment recommendations.

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Binning MapType, Keeping Yield. How Variant Delivered 10x Speed for Semiconductor Test Logs in Databricks

Xebia

These datasets form the backbone of quality assurance (QA) decisions. Example Data : lot_id test_outcome measurements lot_001 PASSED {param1 -> “1.0”, In below example, it takes 82 checks to find field number 42 in a map with 100 fields. Hence, timely insights are paramount. PASSED, FAILED).

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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. You can process and analyze the models response within your function, extracting the compliance score, relevant analysis, and evidence.

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Everything you know about computer vision may soon be wrong

TechCrunch

Think about autonomous driving, for example, as a system where it is about pedestrian recognition. Other examples are cameras for industrial sorting, inspection and quality assurance. All these cameras are being used for automated decision-making.

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