About

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:

  • Rethinking quality engineering
  • De-risking strategies for reputational protection
  • Validation and intelligent automation
  • Addressing AI data issues and errors 
  • Red teaming to tackle inherent AI biases
  • Impact of non-rules-based AI/ML systems

Speakers and Panellists

Find out more about the speakers and our panellists

Programme

Please note that timings are in GMT.

Exclusive for CIONET members.

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Venue

Exclusive London Venue

 

Partners

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