Sponsored By:
Tuesday, May 19th
3 pm ET
AI is everywhere in observability—on vendor roadmaps, in platform demos, and in every ops postmortem. But inside most enterprise environments, the reality is messier: fragmented data, alert noise, and AI that promises explanations but delivers more dashboards.
In this exclusive PulseMeter webinar, Guy Currier, Analyst at The Futurum Group, and Francois Martel, CTO at NeuBird AI will discuss original new research benchmarking how enterprise SRE, DevOps, and platform engineering teams are currently using AI in observability, whether it's working, and where the opportunities are to make it work better.
Join us for an insight into using AI to improve incident response and root cause analysis, especially where and when missing context continues to limit results. You’ll walk away with a better view of what it takes to make the most out of AI in observability.
Who Should Attend:
- Site Reliability Engineers (SREs) and Platform Engineers
- DevOps and Infrastructure Teams
- Engineering Leaders and VPs of Engineering
- Observability and Monitoring Practitioners
- IT Operations and AIOps Teams
What You’ll Learn:
- The current state of AI in observability, backed by new research data
- What kinds of implementations are delivering value—and which fall short
- How tool sprawl, alert noise, and missing context affect AI accuracy
- What distinguishes effective AI approaches, including practical context engineering
- A framework to assess your own implementations
Register Below:
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Francois Martel
CTO - NeuBird AI
Francois Martel is CTO at NeuBird AI. He brings deep expertise in distributed systems, cloud infrastructure, and scaling enterprise platforms, with a focus on applying advanced AI to automate incident investigation, reduce operational noise, and improve reliability across complex environments.
Guy Currier
Analyst - The Futurum Group
Guy is responsible for positioning, go-to-market, and sales guidance across technologies and markets. He has decades of field experience describing technologies, their business and community value, and how they are evaluated and acquired. Guy’s specialty areas include AI, DevOps/cloud-native, enterprise applications, application integration, Big Data, governance-risk-compliance, containerization, virtualization, HPC, CPUs-GPUs-xPUs, and systems lifecycle management.
Guy started his technology career as a research director for technology media company Ziff Davis, with stints at PC Magazine, eWeek, and CIO Insight. Prior to joining Visible Impact, he worked at Dell, including postings in marketing, product, and technical marketing groups for a wide range of products, including engineered systems, cloud infrastructure, enterprise software, and mission-critical cloud services. He lives and works in Austin, TX.