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Artificial Intelligence for IT Operations (AIOps) has emerged as a powerful approach to managing the complexity of today’s enterprise networks. By ingesting massive volumes of telemetry and using machine learning to detect patterns, anomalies, and root causes, AIOps platforms promise faster problem resolution and smarter automation.
But like any intelligence system, AIOps is only as good as the data it consumes. And right now, most AIOps platforms are starving for outside-in perspective.
The Blind Spot in Today’s AIOps Models
Most AIOps systems rely heavily on inside-out data which is telemetry from routers, switches, firewalls, and access points. This data reflects infrastructure health, but it doesn’t always correlate directly with what end users are experiencing. The result? IT teams are left chasing phantom issues or unaware of real problems that don’t trigger device-based alarms.
This is where many AIOps platforms fall short. They're great at telling you what your infrastructure is doing—but not what your users are experiencing.
Outside-In Visibility: The Missing Ingredient
To close the visibility gap, AIOps platforms need to integrate outside-in data—information that reflects how devices, applications, and users interact with the network in real time. This includes:
- Actual client device experience (latency, roaming, packet loss, slow speeds)
- Performance of IoT devices in production environments
- Impact of RF conditions on wireless connectivity
- Other factors like client retry rates and band/channel utilization
This type of data provides vital context that infrastructure metrics alone can’t offer.
7SIGNAL: Feeding AIOps the Data It Needs
That’s exactly where 7SIGNAL comes in.
7SIGNAL’s platform includes endpoint agents and Wi-Fi performance sensors that provide continuous outside-in monitoring of digital experiences across the enterprise. These agents live on endpoints including Windows, Android, MacOS and Linux and collect telemetry from the same vantage point as your users, shared critical devices at IoT. Meanwhile, the sensors act as dedicated Wi-Fi clients that assess RF conditions and performance from across your wireless environment.
Together, they deliver a unique and essential layer of observability for AIOps systems.
- Is latency high in a specific zone, even if the APs look fine?
- Are Zebra scanners struggling due to roaming issues or poor 6 GHz coverage?
- Is RF noise or interference creating intermittent disruptions that infrastructure logs don’t catch?
7SIGNAL provides the answers before users complain and before help desk tickets pile up. Customers also use 7SIGNAL to automatically create helpdesk tickets in ITSM platforms.
Fueling Smarter AIOps
The future of AIOps lies not just in better algorithms, but in better data. By augmenting inside-out telemetry with 7SIGNAL’s outside-in perspective, enterprises can move from reactive firefighting to proactive assurance.
Whether you’re using AIOps to automate ticketing, correlate events, or predict failures, the addition of client-centric and environmental data is a game-changer.
Because in networking—what the infrastructure says doesn’t always match what the user experiences. And 7SIGNAL makes sure your AIOps platform knows the difference.
7SIGNAL Complements Juniper Mist and Other AIOps Platforms
Many 7SIGNAL customers run Juniper Mist WLAN infrastructure and rely on 7SIGNAL to close the visibility gap Mist alone can’t cover. These organizations use 7SIGNAL to gather independent, outside-in insights that enhance the AI-driven recommendations Mist provides.
Beyond Mist, 7SIGNAL integrates seamlessly with other AIOps platforms, including:
- Cisco ThousandEyes – Layer 3 path and internet health correlation
- Aruba AIOps – Enhanced context around RF behavior and client-side impact
- Nexthink – Enriching digital employee experience metrics with network data
- ServiceNow – Driving intelligent incident workflows with precise network context
- Splunk – Feeding detailed Wi-Fi and endpoint telemetry into real-time dashboards
In every case, 7SIGNAL gives AIOps systems the ground-truth telemetry they need to function at full potential.