As AI moves into production, the lines between SRE, DevOps, and FinOps are rapidly disappearing. Reliability, delivery velocity, and cloud costs are no longer separate priorities – they must be managed together.
Join QualityAI for a live panel discussion with senior engineering leaders as they share how leading enterprises are evolving their operating models to build reliable, scalable, and cost-efficient AI systems.
Why attend?
Explore how leading enterprises are addressing the new challenges of AI-powered delivery, including:
- Redefining reliability for AI-powered systems
- Modernizing delivery pipelines with AI evaluation and governance
- Balancing innovation with cloud cost optimization
- Aligning SRE, DevOps, and FinOps operating models
- Learning from enterprise leaders running AI in production
Key takeaways
In this webinar, you’ll learn how to:
- Rethink reliability engineering for AI systems where deterministic behavior is no longer guaranteed
- Build AI delivery pipelines with evaluation, governance, rollback, and cost controls embedded from the start
- Understand how architecture decisions influence AI infrastructure costs and FinOps outcomes
- Balance delivery velocity, operational resilience, and cloud economics across AI-powered applications
- Foster stronger collaboration betweenSRE, DevOps, and FinOps teams to support AI at scale
Meet the expert panel
Hear from senior engineering leaders driving AI adoption across global enterprises, including The Associated Press and Wolters Kluwer. Drawing on expertise in platform engineering, DevOps, cloud transformation, AI enablement, and operational resilience, they'll share practical insights into redefining reliability, delivery, and cost management for the AI era.
speakers
Vincent Tripodi
VP – Engineering, Associated Press
Vincent “Vince” Tripodi is Vice President of Engineering at The Associated Press, where he leads the development and modernization of technology platforms supporting one of the world’s most trusted news organizations.
During more than two decades at AP, Vince has provided technical leadership across software engineering, enterprise architecture, cloud transformation, content platforms, data services and emerging technologies. He has played a central role in evolving the systems that create, process, enrich and distribute text, photography, video and other forms of journalism to customers around the world.
Vince is also helping shape AP’s adoption of artificial intelligence, including the development of AI-enabled platforms, intelligent content workflows and scalable engineering capabilities that make AP journalism easier to discover, access and integrate. His leadership combines technology innovation with the reliability, security and operational resilience required to support a global, real-time news organization.
Abhishek Gupta
Director – Platform Engineering, Wolters Kluwer
A technology leader with more than 25 years of experience, Abhishek currently serves as Director of Platform Engineering at Wolters Kluwer. He leads enterprise capabilities across software engineering, AI enablement, DevOps, performance engineering, and platform modernization to help teams build resilient, high-performing expert solutions for the medicine and research community. His expertise includes GenAI adoption, resilient architecture, cloud and DevOps transformation, and building engineering organizations that successfully translate emerging technologies into strategic business outcomes.
Moderator: Saurabh Gupta
AVP, Head – AI Trust & Reliability CoE, QualityAI
Saurabh is a technology and engineering leader with nearly two decades of experience in performance engineering, site reliability engineering, observability, and digital experience. He currently leads strategic initiatives focused on helping enterprises improve reliability, operational resilience, and engineering efficiency through modern SRE practices, AI-enabled quality engineering, and automation. With experience supporting large-scale transformation programs across Fortune 500 organizations, Saurabh brings a practical perspective on aligning engineering excellence with business outcomes.