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Monday, June 1st
1 pm ET
AI Has Turned Observability Into the Linchpin of the Modern Enterprise
Observability is no longer an engineering support function.
In 2026, it becomes the linchpin of your business.
AI systems are now embedded across applications, infrastructure, customer experience and decision-making workflows. Platform engineering has centralized responsibility. Cloud-native complexity is the norm. Automation moves at machine speed.
When something fails, it doesn’t just create downtime.
It creates revenue risk. Brand risk. Operational risk.
In this new reality, observability is not about dashboards and alerts.
It is about control.
It is about understanding how AI-driven systems behave, how digital services impact customers in real time, and how business performance is directly tied to system intelligence.
This Techstrong Learning editorial roundtable brings together industry leaders, frontline practitioners and Techstrong editorial leadership for a candid discussion on how observability has crossed from tooling to strategic discipline.
The conversation will examine:
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How AI has fundamentally reshaped observability requirements
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Why traditional monitoring models collapse under autonomous systems
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How platform engineering is redefining accountability
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The growing intersection of observability, resilience and security
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What separates organizations using observability tactically from those using it strategically
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This is not a product demo.
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It is a leadership conversation about control, visibility and competitive advantage in an AI-first operating model.
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The question is no longer “Do you have observability?”
Register Below:
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Mike Vizard
Chief Content Officer, Techstrong Group
Mike Vizard is a seasoned IT journalist with over 25 years of experience. He also contributed to IT Business Edge, Channel Insider, Baseline and a variety of other IT titles. Previously, Vizard was the editorial director at Ziff-Davis Enterprise as well as editor-in-chief at CRN and InfoWorld.
Mitch Ashley
VP & Practice Lead, Software Lifecycle Engineering - The Futurum Group
Mitch Ashley is Vice President and Practice Lead, Software Lifecycle Engineering for The Futurum Group. Mitch has over 30+ years of experience as an entrepreneur, industry analyst, product development and IT leader, with expertise in software engineering, cybersecurity, DevOps, DevSecOps, cloud, and AI. Mitch comes to The Futurum Group through the acquisition of Techstrong Group (devops.com, securityboulevard.com, and techstrong.tv), where he serves as CTO and founder of Techstrong Research.
Bob Wambach
VP, Market and Customer Insights - Dynatrace
Bob Wambach is Vice President, Market and Customer Insights for Dynatrace. Bob is a seasoned technology expert helping Global Enterprises and Government Agencies modernize IT strategies and processes. For more than two decades, Bob has helped many of the world’s largest enterprise customers plan IT strategies and achieve objectives to maximize the value derived from their modernization investments. Bob has five U.S. Patents for inventions in the fields of computing and networking, and has previously held leadership positions at Turbonomic (acquired by IBM), EMC (acquired by Dell) and multiple startup companies with successful exits.
Aditya Tirumalai Sundararam
Co-founder and Chief Product Officer - Databahn
Aditya Tirumalai Sundararam is Co-founder and Chief Product Officer at DataBahn, where he leads the vision and architecture of an AI-native data intelligence platform powering modern security and observability pipelines. He brings a forward-looking perspective on how organizations can move from reactive data management to intelligent, in-stream decisioning.
Prior to DataBahn, Aditya spent over a decade at Securonix, where he helped build and scale SIEM and cyber threat analytics platforms, giving him deep, firsthand insight into the challenges of telemetry at scale—data sprawl, schema fragmentation, cost inefficiencies, and the growing gap between data collection and actionable outcomes.
At DataBahn, he is focused on redefining how telemetry is handled before it reaches downstream platforms—applying AI to continuously normalize, enrich, optimize, and govern data in motion. His work centers on enabling enterprises to trust their data pipelines as a foundation for both observability and security in an increasingly AI-driven world.