The growth of computer games and esports, and the potential of esports as an Olympic sport? then Animation and Games Development SG AGM.
Speaker
Tejas Pravinbhai Patel
Agenda
18:00 - Start of Presentation
19:00 - Estimated finish
Synopsis
Artificial intelligence is changing software quality from a largely reactive activity into a continuous, intelligent assurance process. This session examines how AI can support quality across requirements, development, testing, deployment, and production, while also addressing the new assurance challenges introduced by AI-enabled and agentic systems.
Session Description AI is increasingly being embedded throughout the software development lifecycle, creating opportunities to improve quality while simultaneously introducing new forms of technical and operational risk. This session explores how AI can assist quality engineering across requirements analysis, code review, test generation, defect prediction, continuous testing, production monitoring, and incident response. It also examines the additional assurance challenges that arise when the software itself contains AI components capable of making decisions or taking autonomous actions.
The session will discuss practical approaches to continuous assurance, evaluation, observability, governance, human oversight, and risk-based controls, with an emphasis on how organisations can move beyond reactive testing toward quality engineering that operates continuously across the lifecycle.
Key Takeaways:
- How AI can improve quality activities across requirements, development, testing, deployment, and production.
- Where AI-assisted testing and intelligent assurance provide practical value - and where human judgement remains essential.
- How to evaluate and assure AI-enabled and agentic systems that may behave probabilistically or take autonomous actions.
- How observability, governance, continuous evaluation, and risk-based controls support reliable production AI.
- How quality teams can evolve from reactive defect detection toward continuous intelligent assurance.
About the speaker
Tejas Pravinbhai Patel is a Software Development Engineer II at Amazon and an IEEE Senior Member, with professional and research interests spanning artificial intelligence, distributed systems, cloud engineering, and production software reliability. He serves as Chair of the IEEE Computational Intelligence Society Dallas Chapter and Chair of the ACM Irving Chapter.
He has authored more than 40 peer-reviewed research publications, completed more than 250 peer reviews for international journals and conferences, and regularly contributes to the professional community through invited talks, technical committees, judging, and industry-focused technical programmes. His work focuses particularly on building reliable, scalable, and observable AI-enabled systems and translating emerging AI capabilities into practical production engineering approaches.
Our events are for adults aged 16 years and over.
This meeting is conducted in accordance with the BCS Code of Conduct for Meetings.
BCS is a membership organisation. If you enjoy this event, please consider joining BCS. You’ll be very welcome. You’ll receive access to many exclusive career development tools, an introduction to a thriving professional community and also help us Make IT Good For Society. Join BCS today
Please note, if you have any accessibility needs, please let us know via groups@bcs.uk, and we’ll work with you to make suitable arrangements.
BCS privacy notice: your data will be processed by BCS in accordance with our data privacy notice.
Photography: by attending this event, you may be photographed or filmed. Please speak to a member of staff if you do not wish to be included.
This event is brought to you by: BCS Quality SG
