Wednesday, 12 March 2025 | 18:30 (GMT) | Exclusive London Venue
Powered by Tricentis and Qualitest
Financial services organisations like yours comprise intricate networks of interconnected systems, bespoke software, and external applications. Given such complexity, flaws can often slip through unnoticed creating risks, both financial and reputational.
Artificial intelligence (AI), in all its forms, has the potential to transform your testing regime – an opportunity to de-risk software launches by delivering improved quality, greater speed, and, ultimately, faster time to market. Meanwhile, AI-augmented testing and validation tools can support your own AI projects, ensuring smoother integration of Large Language Models (LLMs) with existing text-to-text and text-to-image applications.
To assess the dual possibilities of AI-infused quality engineering, join CIONET – alongside Tricentis and Qualitest – for an evening of insightful discussion.
We’ll explore how AI is a powerful partner of – not a replacement for – quality engineering, not least by taking on repetitive tasks such as regression testing and day-to-day test planning. This allows your expert engineers to focus on areas like performance, usability, and security that rely on human expertise.
Among the topics we’ll explore:
Find out more about the speakers and our panellists
Andrew has worked in enterprise software companies for the last 12 years in various GTM (go to market) functions. The last 6 years have been focused on helping organisations, including major BFSI organisations, to release high quality software at scale and achieve Quality Assurance.
Chris spends his time finding ways to use the data about how applications are used, configured and customised to help optimise testing, so that great ideas get turned into working software running in production fast and safe every day. His special applications of interest include SAP, Salesforce and ServiceNow.
Exclusive for CIONET members.
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Exclusive London Venue
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