Date & time
17:00
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Under intense pressure to deliver returns on their AI investment, organizations need to strike a balance between over-automating and being overly restrictive. Yet 75% of CIOs are concerned they cannot trust their agentic AI deployments, while 74% believe their role is at risk if their organization cannot get measurable AI gains within two years.
It’s no longer what AI can do, but where, how, and why you should use it—the only way to invest time and tokens where there can be a measurable, scalable improvement.
In order to truly unlock AI-driven value, orgs must look to decrease time to value across the software delivery pipeline, without risking security, quality, or uptime. Continuous delivery best practices and monitoring are the only way to rein in and measure your complexity at AI scale and safely speed up time to production.
In this panel discussion, you will:
- Decide what you are really trying to achieve, instead of applying AI to everything
- Effectively measure the value your AI investments
- Optimize your CI/CD pipeline to better impact and measure AI success
