‘First-ever’ automated error detection for network records launched

Technologies and Products

AI software developer IQGeo has announced an “industry-first” capability that automatically detects errors in telecom network records during field operations.

The new capability marks a foundational step toward the accurate, continuously updated network data that autonomous network operations require, says the company.

When engineers build or repair network infrastructure, the physical work rarely matches the original design exactly. Engineers may need to make slight variations, like changing routes, substituting equipment or changing connections. These variations are normal, but they lead network records to gradually drift out of sync with reality. Most operators currently reconcile these differences manually, a slow and error-prone process that leaves operational decisions, from planning future investment to diagnosing faults, increasingly dependent on data that no longer reflects the network as it exists in the real world.

IQGeo’s visual AI application captures the results of a network build or repair and compares it against the original design. Any differences are immediately flagged, classified and routed to back-office teams for review, with follow-up work orders created where corrective action is needed.

“Most operators have accepted record inaccuracy as a cost of doing business and built workarounds on top of it,” said James Wheatley, Head of Product at IQGeo. “The problem is that every difference that goes undetected compounds. Planners make decisions based on data that doesn’t match reality on the ground, and when the error is discovered, the impact is far larger than the original error. Resolving the differences at the point of field execution is a fundamentally different approach to data quality than cleaning up afterwards.”