Overview
The AI-powered Quality Engineering services leverage AWS infrastructure and generative AI to transform software testing processes. We deliver comprehensive assessment, implementation, and optimization solutions that measurably improve testing efficiency, coverage, and reliability while ensuring enterprise-grade security. Core Service Components-Gen AI Amplifier & CognitiveQA Integration.We begin with thorough assessment of current testing processes, project monitoring capabilities, and AWS infrastructure readiness. Our evaluation includes testing maturity analysis, data quality assessment, and baseline performance measurements to identify optimization opportunities. Implementation utilizes AWS Bedrock models for automated requirements generation and test case creation, while Amazon Comprehend provides natural language processing for project documentation analysis. We leverage Amazon SageMaker for custom ML model development and AWS Glue for unified data integration. Our testing phase validates automated workflows, predictive analytics capabilities, and seamless integration with Amazon S3, AWS Lambda, and Amazon RDS. Deliverables include comprehensive assessment reports, custom implementation roadmaps, integrated AWS Bedrock testing environments, automated workflows, predictive analytics dashboards, and continuous monitoring frameworks that enable proactive project health management.Our assessment evaluates existing automation frameworks, application change patterns, security posture, and regulatory compliance requirements. We analyze AWS serverless readiness and identify opportunities for intelligent self-healing capabilities while ensuring trusted AI implementation. The combined solution delivers intelligent automation architecture with self-healing capabilities, integrated security monitoring, automated compliance reporting, and significant maintenance reduction. Our deliverables include AWS Lambda function libraries, governance policies, continuous security frameworks, and comprehensive documentation ensuring sustainable optimization while meeting evolving regulatory requirements.
Highlights
- CognitiveQA assesses project health using descriptive, prescriptive, and predictive KPIs, providing insights and suggestions for improvement. Self-healing automation scripts leverage AWS Lambda and CloudWatch to adapt to changes in web page objects through NLP.
- CognitiveQA assesses project health using descriptive, prescriptive, and predictive KPIs, providing insights and suggestions for improvement. Self-healing automation scripts leverage AWS Lambda and CloudWatch to adapt to changes in web page objects through NLP.
Details
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