Event
Infosys AI Assurance Conclave, London
Date:
17-11-2026
Time:
09:00 AM onwards
Location:
London, UK
Event Overview
The Infosys AI Assurance Conclave, in partnership with Synthesized and TestMU AI, convenes industry leaders, innovators, and decision-makers at a pivotal moment for enterprise AI. As AI drives competitive advantage, organizations face an urgent mandate: ensuring their systems operate safely, reliably, and ethically.
This exclusive forum in London offers a platform to exchange insights and spotlight Infosys' capabilities in delivering trusted AI solutions for the future.
Event Description
Infosys is empowering enterprises to build and scale trusted AI through robust quality engineering and assurance-led approaches. Join us in London for an executive roundtable focused on how organizations can strengthen AI reliability, mitigate risk, and accelerate responsible innovation in an increasingly AI-driven world.
Key Takeaways
Trusted Agentic AI at Scale: Explore how organizations are establishing trust, control, and accountability for autonomous AI agents in enterprise environments.
From AI Experimentation to Business-Critical Deployment: Discover strategies to govern, validate, and assure AI systems as they become integral to customer, employee, and operational workflows.
The Future of Trust, Risk and Governance in an Agentic World: Understand why AI Assurance is emerging as a foundational capability for secure, compliant, and enterprise-scale AI adoption.
Experience
Infosys is empowering enterprises to build and scale trusted AI through robust quality engineering and assurance-led approaches. Join us in London for an executive roundtable focused on how organizations can strengthen AI reliability, mitigate risk, and accelerate responsible innovation in an increasingly AI-driven world.
For any information or registration queries, reach out to us at Marketing_IQE@infosys.com
Related Reading
Infosys Quality Engineering Platform Accelerating Digital Transformations
Ethical AI in Quality Engineering: From Bias Detection to Building Trust
Transforming QE Practices with Software 2.0 and Generative AI
Embracing AI to enhance Quality Engineering
