Artificial Intelligence
As we now live in the era of digital transformation, testing and development processes need to be transformed to keep up with the latest trends and inevitably move towards greater automation.
Artificial Intelligence (AI) works by consuming data, running that data through advanced machine learning (ML) algorithms, and coming up with an optimized set of test cases that provide maximum test coverage. It makes decisions and generates suggestions based on those inputs much faster and more accurately than any human can.
Artificial Intelligence (AI) works by consuming data, running that data through advanced machine learning (ML) algorithms, and coming up with an optimized set of test cases that provide maximum test coverage. It makes decisions and generates suggestions based on those inputs much faster and more accurately than any human can.
Validata AI-powered technology
At Validata, we have supercharged our products with AI and machine learning, and we are harnessing this power to test from the user perspective.
Explainable AI
AI cannot be a “black box”. It needs to provide confidence and transparency in the system’s AI automated decisions and recommendations and be able to explain and justify how these decisions are made.
Predictive AI
Identify anomalies in how your processes and data are performing with advanced pattern recognition powered by machine learning. Early detection and warning of failures results in improved performance and productivity and reduced costs.
Prescriptive AI
It provides root cause analysis, planning and risk-based decision-support and suggestions on the ‘next best actions’.
Performance AI
Through machine learning and advanced modeling techniques it is able to identify any anomalies and optimize processes for faster resolution and improved operational efficiency.
Conversational AI
AI chatbots that support both text and voice, providing you with real-time intelligent information around your project health and readiness, and guiding you through the test design process.
AI in Testing
Looking at test automation specifically, AI can help go beyond test execution and expand the level of intelligent automation and insights into the customer experience.
- It can perform the tests with less or no human intervention.
- Testing becomes faster with improved quality and optimized risk, as it is able to process large amounts of data to identify defect trends and predict future events.
- DevOps and QA teams will have actionable Continuous Feedback which means that the defects will be resolved faster and so, applications can be launched faster into the market.
- It can manage repetitive tasks faster and easier, to meet the continuous delivery demands for increased productivity.
- It is less expensive than manual testing as it reduces the reliability on manual testers by reducing the resources and also the related intensive costs.
- AI is ideal for Regression testing to compare and identify if what used to work in your applications is still working.
- It allows tests to be updated automatically every time there is a change in the system.
- It drives autonomous test creation leveraging technologies such as natural language processing (NLP) and advanced modeling.
- It can also recommend what tests need to run and the optimal user journeys to deliver the best user experience.
- Learning from production data. Real user data can be used to create an automated test and with the help of AI, we can learn how the customer is using an application.
- Get to the root cause of the defects faster and enable fast routing of the defect to the right person or team
AI can be applied to analytics and their successful combination is helping banks deliver amazing customer experiences and help in customer acquisition and retention.
AI-driven analytics provide real-time, role-based dashboards with actionable, understandable KPIs and metrics that help your stakeholders gain understanding and make better decisions. Through AI-generated recommendations and suggestions, they guide you on the ‘next best step’ and optimal path with justifications.
- Find new insights and hidden patterns from your data.
- Predict future outcomes
- Increase revenue and improve operational efficiency
- Unify customer data from different sources to create a single Customer 360 view
AI in Analytics
Copyright © 2018 Validata Group
powered by pxlblast