Ensuring that QA challenges are adequately addressed in a Bank requires a high level of automated engagement. Without a high level of automation testing applications is an arduous and time-consuming process. Hear from IBM about how they are applying DevOps aligned automation combined with artificial intelligence (AI) to develop and test applications—speeding up time to market and providing the agility to respond better to competitive threats. Using automation and AI can improve complex testing requirements by minimizing, and then automating laborious testing processes.

In this case, we leveraged our IGNITE Quality platform to optimize/reduce existing tests with a feature called STAM (Search Tag and Model) to deliver AI language understanding. In addition, we leveraged the IGNITE Test Optimization framework to deliver an Agile aligned TCoE with transformation includes tests for API, Performance Test, and Big Data solutions.

By integrating an AI-driven Test Optimization solution to overcome QA issues we were able to deliver:
– 45% faster cycles and reduce the number of tests by up to 60%
– 100% coverage of testing requirements, and
– Up to 40% fewer defects.
– Agile test efficiencies across multiple projects
– 30% Effort reduction to test API solutions (EPC Pilot)

October 23 @ 09:00
09:00 — 09:45 (45′)

Andrew Williams