| CPC G06Q 50/06 (2013.01) [G06N 20/00 (2019.01); G06Q 10/0635 (2013.01); G06T 11/60 (2013.01); G06T 2210/56 (2013.01)] | 19 Claims |

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1. A method comprising:
locating at least two underground pipes or cables, wherein a cross-bore is defined as an intersection of the at least two underground pipes or cables;
effecting a presence of the cross-bore to be predicted prior to physical inspection of one the at least two underground pipes or cables, wherein prediction of the presence of the cross-bore is accomplished by:
receiving at least one dataset comprising a plurality of assets and cross-bore data, wherein the at least two underground pipes or cables are part of the plurality of assets;
calculating, using a processor, a risk probability value based on the cross-bore data for each asset of the plurality of assets using machine learning techniques;
spatially distributing the risk probability values around each respective asset;
producing a graphical output illustrating the risk probability for a specified geographical area based on the spatially distributed risk probability values; and
effecting an inspection procedure to be prioritized, wherein the inspection procedure inspects predicted cross-bores based on the machine learning technique that has evaluated the risk probability values and the presence of the cross-bore having been predicted.
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