Leading the Transformation of AI-Based DevOps: Quality Engineering Reimagined
Event: Wednesday, 29 Oct 2025 . Online . 15:00 GMT
AI won't speed up product delivery on its own. It needs a pipeline that ships faster, secures earlier, and standardizes tooling across teams. This webinar tackles those constraints head-on-showing how AI, cloud, and modern quality engineering can compress cycle time without trading away stability.
About the session
Product teams face a familiar bind: deliver features faster, improve security, and do it across a fragmented toolchain. The result is drift, rework, and long feedback loops. In this session, TCS and OpenText share how they're combining platform capabilities with AI to streamline development, test, and release-so speed scales with confidence.
Why it matters to Product Development
- Shorter lead time with AI-assisted test creation, impact analysis, and smarter automation.
- Cleaner flow across the toolchain with value stream visibility and practical governance.
- Built-in security through earlier checks, policy-as-code, and pipeline guardrails.
- Less toil for devs and QA via unified workflows across planning, code, build, test, and release.
What you'll learn
- How TCS and OpenText integrate AI into the dev/test lifecycle to reduce flakiness, improve coverage, and cut mean time to fix.
- How to track flow efficiency and delivery health using proven metrics such as DORA metrics (learn more).
- Patterns for cloud-based test environments, on-demand data, and service virtualization to keep feedback loops tight.
- Security practices that fit the pipeline, aligned to NIST's Secure Software Development Framework (SSDF).
- How to standardize a fragmented tool stack without slowing teams-through value stream management and policy guardrails.
Speakers
- Tali Levi Joseph, Vice President, Software Engineering, OpenText - Leads the Application Delivery Management business unit. With enterprise-scale experience across product, R&D, and customer programs, she focuses on delivering value through large-scale DevOps, scaled agile, and value stream management.
- Niranjan Seetharama, Global Sales Head, Quality Engineering, Tata Consultancy Services - Nearly twenty years across sales, solution design, and consulting for quality engineering in technology software services.
- Neil Perry, Group Broadcast Director, BizClik Media - Veteran broadcaster and executive producer with two decades of multimedia experience.
Who should attend
- Heads of Product, Product Managers, and Product Operations leaders
- Engineering Managers, Directors of Software Development
- QA/Quality Engineering leaders and DevOps/SRE leaders
Practical takeaways you can apply next sprint
- Baseline delivery health: lead time, deployment frequency, change failure rate, and MTTR.
- Adopt AI where it pays back fast: test case generation, flaky test detection, and root-cause hints in logs.
- Shift security left with policy-as-code, secrets scanning, SCA/SAST gates, and risk-based test selection.
- Map your value stream; remove one high-cost wait state (e.g., environment queues) using ephemeral environments.
- Trim your toolchain: keep what's used weekly and automatable, retire the rest.
Event details and registration
Date: Wednesday, 29 Oct 2025
Time: 15:00 GMT
Location: Online
Registration: Reserve your spot via the official event page. Seats are limited.
Level up your team
If you're building a skills plan around AI for product, dev, and QA roles, explore focused learning paths here: AI courses by job role.
Your membership also unlocks:
