From NOC to AOC: Building Agentic Operations Centers You Can Actually Trust
The NOC is being replaced – not by a product, but by an operating model. Agentic Operations Centers (AOCs) combine AI-driven monitoring, autonomous remediation, and human oversight in a new operational structure that can handle the speed, complexity, and volume of AI-era infrastructure incidents. This session addresses the hard operational questions: which Tier-1 and Tier-2 operations are genuinely ready for agent delegation today, how do you train agent supervisors who can oversee closed-loop systems without being buried in noise, and what does human-in-the-loop governance look like when AI incidents unfold in seconds?
WHY THIS SESSION MATTERS
NY-area enterprises are spending enormous sums on AIOps tools that are underdelivering because they’re being bolted onto NOC operating models that haven’t changed. This session shows what the operating model has to look like for AI-driven operations to actually work.
Damien Garros is an architect, engineer, and leader with deep infrastructure automation, data management, and networking expertise. Over the last 15 years working at companies like Juniper, Apstra, Roblox, and Network to Code, he’s built a reputation for designing systems that make automation trustworthy by getting the data right first. Damien has architected and contributed to dozens of open-source projects that are now widely used across the industry. Known for his clear thinking and forward-looking vision, he’s also recognized for a leadership style rooted in candor and curiosity. Damien is the co-founder and CEO of OpsMill, creators of Infrahub, the infrastructure data management platform.
Helen Gu is a leading expert in the field of distributed systems and predictive analytics. She is also Professor at North Carolina State University and leads a research group supported by over $4.2 million research grants from NSF, NSA, ARO, Google, IBM and Credit Suisse. She published more than 80 research papers and has filed 11 patents (10 of them have been issued).
Helen was on sabbatical at Google as a Visiting Scientist in 2015. She also worked at IBM T. J. Watson research center as a Research Staff Member in 2004-2007 working on the IBM stream processing system.
Helen Gu received her PhD in CS from UIUC in 2004 and BS in CS from Peking University in 1999. Her work has been widely reported by presses including NSF research highlights, Communications of ACM, and The Register, and won several best paper awards from prestigious International conferences including 10-year best paper award from prestigious ACM Symposium on Cloud Computing on her innovative work on predictive auto-scaling in cloud.
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As Technical Director, Aryo Kresnadi is responsible for setting network architecture strategies, futures and solutions for FedEx Global Enterprise Network supporting all FedEx information movement to ensure on-time delivery for all FedEx packages.
Current responsibility includes research and development of architecture, design and implementation of the next-generation network for FedEx data center, multi-cloud, and edge network for the FedEx field locations to support next-generation sensors, robotics, artificial intelligence and machine learning capabilities.
Aryo holds a Bachelor’s Degree in Electrical Engineering (BSEE) from Ohio State University and a Master of Science degree in Electrical Engineering (MSEE) from University of Pittsburgh. Aryo is currently based in Collierville, TN, the home of FedEx World Technology Center.
