Artificial Intelligence & Machine Learning Testing Services
Prepare for an intelligent future and enhance your QA efficiencies by our AI platform testing, ML based validation and RPA services

Artificial Intelligence & Machine Learning Testing Service

Otomashen established AI/ML-powered testing CoE approach to software testing that allows QA teams to overcome some of the key challenges of traditional testing.

    • Some of the key business challenges are:
    • Identifying the critical end-to-end business use cases for AI-based testing
      Lack of awareness about AI-driven algorithms & testing approach.
    • More Integration with an existing set of applications. 

Otomashen AI/ML established testing CoE & process help our global clients to build more efficient continuous process & frameworks for quality delivery. 

Utilizing Otomashen technology expertise in intelligent test and automation platform & services helps our global clients to release quality products and time-to-market, reducing the overall testing time and reduce business risk and improving product quality and operational efficiency.

Otomashen AI/ML testing COE & best practices will follow a disciplined, structured approach which internally helps our global clients to identify defects during early stages of SDLC Lifecycle and also optimize regression testing suites and predict failure points, thus reducing the overall testing engagement cost and achieving high customer satisfaction & ROI.

The key elements that we have considered for testing of AI/ML systems and applications are

Our AI-based Testing Services Includes

  • Otomashen Test Management process & strategy uses AI Algorithms for
    • Regression Test Suite Optimization & Queuing.
    • Log & Defect Analytics
    • Requirement Traceability Matrix
    • Defect Root Cause  Analysis
  • Established Algorithmic Risk-based Testing approach.
  • AI and NLP-based Continuous testing by executing relevant automated test cases per commit from the Regression Test repository.
  • Optimize existing Test Suite by removing duplicates in test scenarios/cases, which in turn increased the overall  test Coverage
  • Identify defects during the early stages of lifecycle by defect root cause analysis.
  • Established Automated Regression, Smoke and Sanity Test suite using AI-specific test automation tools
  • Business Process Testing using end-to-end business workflows.

Few of the test automation tools we use for are

Otomashen Differentiators:

  • Helped our global clients to reduce  overall testing costs up to 50% by leveraging test automation and follows disciplined test methodology and process
  • Faster deployments & time to market.
  • Matured governance model over test data and test suite optimization.
  • Better requirement traceability with backward & forward integration.
  • Disciplined testing approach with early feedback with unattended parallel execution.
  • Increased the overall test coverage and reduce testing engagement costs.
  • Established test automation CoE & best practices.
  • AI-Powered regression suites with support for parallel agile teams.

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