Artificial Intelligence in the Heavy/Highway Industry

Artificial intelligence (AI) is permeating all aspects of technology, including the software and tech programs used in the heavy/highway industry. Machine learning is a specific form of AI that relies on the collection of massive amounts of data from a variety of inputs to identify patterns and tasks that can be easily repeated. The ultimate result of incorporating AI technology into programs and devices that construction companies rely on is the automation of many processes that formerly required human input to complete.

In addition to speeding up the processing of certain repetitive tasks, AI and machine learning allow for the analysis of multiple sources of data much more efficiently than could be expected from a human or even a team of humans. There will still be an important role for data analysts to play in the construction industry in the wake of AI innovations. The industry is ripe for disruption through the efficient and accurate analysis of big data using AI technology at a faster rate than could be accomplished with human computing power alone.

How IoT and AI Are Changing Heavy/Highway

The internet of things (IoT) refers to a network of smart devices that are connected through sensors to allow for the collection and processing of data generated by the devices at all times. The data collected through a network of smart devices can be used by software programs that are built on AI technology to identify patterns and provide valuable insights about how the devices are used. For example, by using the IoT and AI for predictive maintenance on construction equipment, companies and equipment operators can more readily predict when a particular piece of equipment or machinery will need to be repaired or replaced.

Overall, taking care of construction equipment and machinery on a more regular maintenance schedule thanks to the IoT and AI keeps equipment from quickly wearing down or shutting down completely. This will save construction companies time and money in the long run and allow construction projects to remain on schedule without unexpected equipment and machine failures. It also assists with the budgeting and financial management aspects of completing construction projects because companies will be able to factor in the cost of maintenance or replacement of important pieces of construction equipment and machinery.

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About the Author

Tom Schell

Tom Schell is Regional Account Manager at Cogent Communications.

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