Platform engineering emerged in response to the growing complexity of cloud native, but it’s greatest value however is as the foundation of driving the future of AI in the enterprise.

This webinar looks to develop strategies for mastering cost-effective AI agent evaluation at scale using stratified sampling, risk-based testing, and multi-stage screening to cut costs while maintaining enterprise-grade quality control.

Discover why CI/CD pipelines weren’t built for today’s testing realities. As AI-driven development accelerates release cycles, traditional CI/CD pipelines are buckling under the weight of automated testing, leading to slower feedback, brittle environments, and rising infrastructure costs.

Platform engineering emerged in response to the growing complexity of cloud native, but it’s greatest value however is as the foundation of driving the future of AI in the enterprise.

AI coding agents promise speed, but without strong platform engineering they can create chaos. In this networking event, learn why governance, golden paths, and platform adoption aren’t nice-to-haves; they’re essential for securely shipping AI workloads and making “platforms for AI” the real enterprise advantage.

Your organization manages migrations manually via spreadsheets, emails, and reminders. Agents now appear capable of automating CVE remediation, language migrations, and platform updates. But can enterprises scale autonomous code changes safely? This session explores the infrastructure, governance, and organizational readiness needed, and whether now is the right time.

Platform engineering emerged in response to the growing complexity of cloud native, but it’s greatest value however is as the foundation of driving the future of AI, security, and more in the enterprise.

Agentic AI for test data generation has arrived - but what does the ideal process look like and how will it fit within your workflows? Join synthetic data pioneer Mark Brocato as he spotlights the latest capabilities of Tonic Fabricate and speaks candidly on the potential and pitfalls of AI-driven data generation. With the right tools in place, the test data you need is just an AI conversation away.