Tekion is building the world’s best business applications on the cloud starting with the automotive retail industry and inherently use cutting-edge technologies like big data, machine learning/AI, and human computer interaction (voice, touch, vision, sensors and IoT). They are inventing new technology along the way to overcome barriers and solve big problems for a personalized and seamless consumer experience
McKesson is an American company distributing pharmaceuticals and providing health information technology, medical supplies and care management tools
Business Need- Combine their manufacturing expertise into data analytics and machine learning
- Improved quality: prediction, prevention and automation using self-learning algorithms
- Structured Risk Based Testing, Improved risk management through prioritization of critical areas & Reduced Automation effort
- Deliver predictions on future downtime problems
- Need for testing end-to-end app flow
- To build a comprehensive regression suite
- Enable ease of test data management for the business users
- Develop scalable mobile test automation framework for future mobile test automation
- Automate approximately 300+ functional test cases of mobile app mobile App
SmartQE MACHINE LEARNING together with analytics to drive automation and innovation, improving Automation QA efficiencies. Artificial intelligence (AI) algorithms learn from test assets to provide intelligent insights like application stability, failure patterns, defect hotspots, failure prediction, etc. SmartQE has developed an in-house, Machine learning platform with Tensorflow which will help in multiple phases of the software testing life cycle, leading to more efficient Automated Test execution and reduced effort
Results- Test case optimization - Up to 15 percent effort savings due to identification of similar test cases
- Improved risk management through prioritization of critical areas & Reduced Automation effort
- Reduced time of manual testing during feature enhancements and development
- One integrated platform: Adaptable to client technology landscape, built on open source stack
- Traceability: Missing test coverage against requirement as well as, identifying dead test cases for changed or redundant requirement
- Faster time to market: Significant reduction in Testing efforts with complete E2E test coverage
- Significant reduction in Testing efforts with complete E2E test coverage
- Google Tensorflow