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Rik Marselis
Principal Quality Consultant
Rik is principal quality consultant at Sogeti in the Netherlands. He is a well-appreciated presenter, trainer, author, consultant and coach who supported many organizations and people in improving their quality engineering practice by providing useful tools & checklists, practical support and having in-depth discussions.

Rik is an accredited trainer for TMAP, ISTQB and TPI certification training courses, but also, he has created and delivered many bespoke workshops and training courses. For example, on Intelligent Machines and DevOps testing. Rik is a fellow of Sogeti’s R&D network SogetiLabs. The R&D activities result in presentations, books, white-papers, articles, podcasts and blogs about IT in general and quality engineering in particular. On 17 March 2020 his latest book “Quality for DevOps teams” was presented.


Speech title: Advanced analytics and AI based forecasting in your pipeline

Deliver value with the right quality at speed. That's what organizations ask of their high-performing IT delivery teams. To achieve this, IT people need to work closely together and implement continuous quality engineering. The main goals of quality engineering are building quality from the start and supply relevant information about quality and risks of the test object to the stakeholders. This enables timely establishment of their level of confidence that the test object will be able to deliver the pursued business value. TheDevOps culture is the enabler for this way of high-performance IT delivery, using an automated CI/CD pipeline to deliver the right quality at speed. All the automation happening inside the IT delivery pipeline is not focused on having less people involved, instead it has given humans time to work on things that matter.

In this talk, I will discuss how AI-based analytics brings automation to a higher level in the delivery pipeline. We distinguish descriptive, predictive and prescriptive analytics using AI to implement quality forecasting. By forecasting quality problems teams get timely information needed to solve these problems before anyone experiences a failure. So in this presentation you will learn how advanced analytics contribute to delivering business value at speed.

KeyTakeaways

• Continuous quality engineering is supported by advanced analytics

• Automation of quality engineering activities in the CI/CD pipeline enables to deliver quality at speed

• By AI-based forecasting teams can solve problems before anyone experiences a failure

 
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