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Daniel Betts
VP Analyst
Gartner
Speaker Topics
- Generative AI, Agentic AI and AI
- DevOps, Agile and Product
- Skills, Training and Workforce Development
- Reliability, Resilience and Recovery
Speaker Bio
Daniel Betts is VP, Analyst for Gartner, covering AI, Agentic AI and AI Agents in I&O, Platforms & Platform Engineering, Infrastructure Platform Engineering, Autonomous Reliability, AI SRE & Site Reliability Engineering (SRE), Product Mindsets, Agile & Agile Practices in Infrastructure & Operations, Infrastructure as Code (IaC), Continuous Compliance Automation, Release Orchestration, and Adaptive Release Management, DevOps, DevSecOps, DevOps toolchains
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Sessions
Tuesday, December 08, 2026 04:00 PM - 04:45 PM PST
Senior Leadership Circle Roundtable: Implementing Product and Agile Mindsets in IO
Daniel Betts,
VP Analyst, Gartner
Heads of I&O are pressured to optimize costs and increase innovation, yet traditional delivery methods leave I&O as a bottleneck. Without shifting to agile and product mindsets, I&O platforms will fail by delivering siloed technical outputs rather than the strategic solutions customers need. How are you solving these problems or approaching them?
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Wednesday, December 09, 2026 10:30 AM - 10:50 AM PST
Market Guide for AI Site Reliability Engineering Tooling
Daniel Betts,
VP Analyst, Gartner
Organizations struggle to justify costs to adopt site reliability engineering practices to deliver on their reliability and resilience goals. Heads of I&O must strategically evaluate and invest in AI SRE tooling to lower the cost of SRE adoption, meet operational demands and deliver effective reliability, efficient products, platforms and services. Join this session to know more.
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Wednesday, December 09, 2026 02:00 PM - 02:30 PM PST
Autonomous Reliability: Unleashleashing Agentic AI to Drive Self-Healing IT Operations
Daniel Betts,
VP Analyst, Gartner
The importance of reliability to deliver on key priorities means moving from reactive, human-centric response and repair to proactive, agentic, self-healing systems with reliability designed into products. Autonomous reliability uses agentic AI to prevent, detect and resolve disruptions before they impact customers, employees or revenue. Learn how to treat reliability as a first-class citizen in autonomous operations and reframe it as risk, scale productivity improvements into reliability outcomes and govern it as a business capability.
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Thursday, December 10, 2026 01:45 PM - 02:15 PM PST
Rise of the Reliability Architect to Enable Autonomous Reliability
Daniel Betts,
VP Analyst, Gartner
As IT Operations and SRE struggle with growing complexity, organizations are adopting agentic AI for incidents and remediation. This shift creates dependencies as knowledge moves into AI systems and vendors. The human role evolves to a Reliability Architect transitioning from reactive execution to strategic leadership, aligning reliability outcomes with business goals across engineering, operations, and architecture
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