While AI-powered tools supercharge code creation, downstream processes, such as testing, security, deployment, and compliance, still rely on manual workflows and fragmented point solutions. The result is the AI Velocity Paradox: teams move code faster than ever, but they risk shipping unverified, insecure, and unreliable software into production.
Industry experts from AWS and Harness will highlight new strategies for embedding AI workflows and AWS into every stage of the enterprise SDLC, removing bottlenecks, and enabling continuous compliance at scale.
Attendees will gain practical perspectives on automating releases, enforcing policy-driven governance, and driving efficiency with AI and AWS. The session will also share lessons from organizations in regulated industries that achieved weekly zero-downtime deployments and unified security postures.
Attendees will leave with patterns and blueprints for integrating AI, AWS, and DevOps and positioning themselves for measurable enterprise-ready DevOps outcomes.
Key Takeaways:
1. Understanding how to take advantage of AI not only in code generation, but also in delivering that software to customers
2. Practical Strategies for Policy-Driven Governance and Continuous Compliance
3. Real-life examples of companies achieving automated software releases
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