As AI transforms how software is built, deployed, and operated, DevOps is evolving through targeted, intelligent automation. AI-assisted tools are now integrated across the delivery lifecycle—accelerating code generation, improving test coverage, and enhancing observability and incident response.
Yet, increasing velocity introduces new reliability challenges. Whether you're provisioning large-scale test data for CI/CD, streaming events across multi-cloud environments, or serving low-latency JSON queries at scale, success now depends on one thing: end-to-end data reliability.
Join this roundtable webinar to explore how leading teams are combining AI-driven automation with data-centric DevOps practices to deliver software that's not only faster—but verifiably trustworthy.
What You'll Learn
- Where AI delivers real DevOps impact – from intelligent code generation to automated testing and observability
- How data reliability is becoming a core SLO – extending DevOps metrics beyond uptime to data quality and lineage
- How streaming and schema contracts reduce downtime across distributed event pipelines
- How DevOps, DataOps, and AIOps are converging to enable adaptive, resilient delivery systems
Contact Us for a Demo
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Presenters
Jatinder Luthra
Jatinder is a technology enthusiast, passionate about building innovative solutions and challenging conventional methods. As a Senior Principal Solutions Engineer in Perforce Delphix, he is focused on cloud business.