article thumbnail

Top Quality Assurance (QA) Consulting Firms in USA - 2024

Rocket Brush Studio

Today, the role of quality assurance consulting firms in ensuring the highest quality of products before they reach the market is more crucial than ever.

article thumbnail

Empowering Retail Testing with AI and Machine Learning

Rocket Brush Studio

AI and ML are transforming the way that retailers do business, and their use in retail app testing can help organizations improve their accuracy, efficiency, and customer experience.

Retail 84
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

A Guide to Shift Left Testing with Generative AI in 2025

Rocket Brush Studio

Discover how shift-left testing, powered by generative AI, is reshaping quality assurance! QASource takes you through every step, from understanding shift-left principles to implementing AI-driven strategies that optimize early-stage testing.

AI 52
article thumbnail

AI-Driven Automated Game Testing

iXie gaming

QA (Quality Assurance) teams are having a tough time meeting player expectations. AI-driven automated testing is changing game QA by automating repetitive tasks, making workflows smoother, and giving deeper insights into player behavior. Welcome to the future of game testing, where AI-powered quality assurance is the star.

AI 52
article thumbnail

Sony developers share how machine learning can improve QA

GamesIndustry.biz

During a talk given at the recent CEDEC event in Yokohama, Japan, development leads within Sony discussed their recent efforts to implement AI and machine learning models to improve efficiency and accuracy within the QA process. Read more

article thumbnail

Operationalize generative AI applications on AWS: Part I – Overview of LLMOps solution

AWS Games

With the rising popularity of generative artificial intelligence (AI), companies are exploring foundation models (FMs) and realizing the immediate benefit they provide to their business. It takes the MLOps methodology and adds the additional skills, processes, and technologies needed to operationalize generative AI models and applications.

AI 51
article thumbnail

Maximize Your Game Data Insights with the updated Game Analytics Pipeline

AWS Games

This modular system allows for additional AWS capabilities, such as AI/ML models, to be integrated into the pipeline to provide valuable insights and recommendations to enhance player experiences. The infrastructure is deployed for integration and system testing into the quality assurance (QA) AWS account using the CloudFormation Stack.

Data 67