What happens when the systems we rely on every day start producing more signals than humans can realistically process, and how do IT leaders decide what else actually matters?
In this episode of Tech Talks Daily I sit down with you Garth FortChief Product Officer at LogicMonitorto explain why traditional monitoring models are reaching their limits and why AI native observability is starting to feel less like a future idea and more like a contemporary requirement. Modern enterprise IT now includes legacy data centers, multiple public clouds, and thousands of services layered on top. That complexity has quietly eliminated many of the tools teams still depend on, leaving operators overwhelmed by alerts rather than empowered by insight.
Garth brings a rare perspective shaped by senior roles at Microsoft, AWS and Splunk, along with firsthand experience in hyperscale observability. We talk about how alert fatigue has become one of the biggest hidden problems for IT teams, including real-world examples where organizations faced tens of thousands of alerts every week and still miss the root cause. This is where LogicMonitor’s AI agent, Edwin AI, comes into the picture, not as a replacement for human judgment, but as a way to correlate noise into something useful and give operators back their time and trust.
A large part of our conversation is about trust. AI agents behave very differently from deterministic automation, and that difference matters when systems are responsible for critical services such as healthcare supply chains, airline operations, or global hospitality platforms.
Garth explains why governance, auditability, and role-based controls will determine how quickly enterprises allow AI agents to move from advisory roles to more autonomous roles. We also explore why experimenting with AI has become one of the lowest-risk moves leaders can make right now, and why the teams that treat learning as a daily habit tend to outperform the rest.
We end by zooming out to the bigger picture, where observability is no longer a technical function but is starting to become a way to understand business health itself. From mapping infrastructure to real customer experiences, to reshaping the way IT budgets are justified in boardrooms, this conversation provides an informed look at the next step of business.
So as AI agents become increasingly embedded in the systems that run our businesses, how comfortable are you with handing the keys over to them, and what will it take to truly trust them?
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