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Accelerating Quality Engineering with Infosys AI-first Testing Solutions

Overview

Infosys AI-first Testing, part of Infosys Topaz, is a cutting-edge solution designed to take quality engineering (QE) to the next level. Using a combination of supervised and unsupervised machine learning, it analyzes data such as project documentation, test artifacts, defect logs, test results, and production incidents.

This approach enables early detection of defects, test optimization, and prediction of failure points. The result is reduced cost of testing software and enhanced customer satisfaction.

With Infosys AI-first Testing, organizations can overcome complexities in testing artificial intelligence and machine learning (AI/ML) as well as natural language processing (NLP) implementations. Leveraging AI, the platform significantly increases the efficiency of software testing across all stages of the quality assurance (QA) lifecycle.

Further, it harnesses the game-changing power of Generative AI.

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How Infosys AI-first Testing helps enterprises:

  • Infosys AI-first Testing uses a cyclical process from discovery and learning to sensing and responding. It continuously updates the knowledge base with new information that helps the system to better respond to new situations through self-learning.
  • Leveraging our model evaluation tool, data scientists can track the accuracy and predict the behavior of models, enabling better decision-making.
  • Repetitive tasks are better managed using the Infosys Robotics Testing framework that can enable 100% test automation.
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Challenges & Solutions

Infosys Test Suite Optimizer helps identify redundancies and similarities in test suites. This can reduce the size of test suites by 30%.

100% automation coverage across heterogeneous technologies can be achieved with Infosys Robotic Test Automation framework.

The Infosys model evaluation tool can help improve model accuracy by up to 40%.

Infosys Defects Analytics is a solution that can detect high-risk areas in an application with a Pareto analysis. It reveals which modules or applications are generating 80 per cent of the defects.

Infosys Customer Sentiment Analysis is a tool that can extract insights from a customers’ social media accounts to help enhance customer experience.

Infosys Document Validation uses AI to analyze digitized versions of handwritten documents. It suggests corrections and helps reduce errors by 50%.

Resource Center

Insight

Infosys Generative AI Testing Platform

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Blog

Adversarial Testing: A Quality Engineering Framework to Harness the True Power of Generative AI

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Recognition

Infosys Recognized as a Leader in The Forrester Wave™ for Continuous Automation and Testing Services, Q2 2024

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Blog

Role of Augmented AI in Driving Quality Assurance Automation Efficiency

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