May 7, 2026, 11:30AM PT | 2:30PM ET
Organizations are rapidly pouring money into AI tools, expecting faster, more reliable software delivery—but gains aren’t showing up where it counts.Developers are moving faster, yet throughput gets absorbed between the code editor and production. With only 1% of companies mature in deployment, AI productivity rarely translates into outcomes. When deployment, testing, security, compliance, and incident management remain manual, AI-generated code amplifies bottlenecks. In this session, Charlotte Fleming and Steve Fenton explore why AI gains stall, how pipelines absorb throughput, which Continuous Delivery capabilities matter most, and how to close the automation gap.
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