Business velocity is no longer defined by how fast teams write code; it is limited by rising complexity. Multicloud setups, legacy systems, fragmented toolchains, and growing technical debt slow delivery far more than coding itself.

Most AI tools offer small gains through code generation. The real impact comes from AI that supports the entire software development lifecycle and reduces friction across it.

This session will cover how leaders can:

• Empower teams with AI development tools that complete tasks across the SDLC, not just offer code suggestions
• Accelerate large-scale java/code modernization without increasing technical debt or security risk
• Optimize compute, execution paths, and operational effort across the SDLC to reduce waste and rework
• Shift-left on security for early detection in the IDE and PR review