Applications Quality Assurance Testing 
TechCrunch
SEPTEMBER 7, 2022
. “As software developers ourselves — working in health tech and fintech, where even minor bugs could have an outsized impact on people’s lives — we know firsthand how critical robust end-to-end testing is for all software businesses,” Perl said. ” Image Credits: QA Wolf.
TechCrunch
MARCH 24, 2021
UI-licious , a Singapore-based startup that simplifies automated user interface testing for web applications, announced today it has raised $1.5 Tai, UI-licious’ chief executive officer, said that about 90% of software teams around the world rely on manual testing, which is both time-consuming and expensive.
Perficient
APRIL 16, 2025
GenAI in Data Management Gen AI revolutionizes the data lifecycle by improving data quality, automating processes, and thus accelerating and improving decision-making. Key applications include: Data Augmentation: Gen AI generates synthetic data to augment existing datasets. Saves Cost due to reduction of manual testing efforts.
O'Reilly Media - Ideas
APRIL 9, 2024
Generative AI will be used to create more and more software; AI makes mistakes and it’s difficult to foresee a future in which it doesn’t; therefore, if we want software that works, Quality Assurance teams will rise in importance. First, one of the cornerstones of QA is testing. The problem grows with the complexity of the test.
TechCrunch
OCTOBER 15, 2020
Application security platform NeuraLegion announced today it has raised a $4.7 It currently offers NexDAST for dynamic application security testing, and NexPLOIT to integrate application security into SDLC (software development life-cycle). million seed round led by DNX Ventures, an enterprise-focused investment firm.
Datavail
OCTOBER 21, 2021
“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. But how can containers improve your QA processes as well?
AWS Machine Learning - AI
MARCH 14, 2025
Organizations building and deploying AI applications, particularly those using large language models (LLMs) with Retrieval Augmented Generation (RAG) systems, face a significant challenge: how to evaluate AI outputs effectively throughout the application lifecycle.
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