3 practical business cases in asset and maintenance management
Reliance on manual processes means many asset managers and service providers struggle to reach optimal performance levels. From an operational perspective, this is problematic since it leads to inefficient allocation of human resources and equipment.
The case studies in our new ebook "3 practical business cases in asset and maintenance management" illustrate how artificial intelligence can streamline workflows and improve efficiency.
The solution lies in intelligent automation, which can enhance operations by accelerating workflows at a lower cost and in less time. The case studies discussed here illustrate how intelligent automation has redefined asset management and maintenance services for several BrainCreators clients.
For MapXact, our BrainMatter technology has directly impacted how the company operates by allowing it to continue to use the most effective method of mapping subsurface infrastructure.
MapXact’s services help infrastructure developers and managers ensure their projects don’t interfere with underground cables and pipes. Ground radar produced detailed images, but each of the thousands of images generated at each site had to be viewed manually to distinguish between disturbances created by natural materials and those created by existing infrastructure.
By using artificial intelligence to review these images, MapXact’s nalysts can focus on more productive tasks while ‘teaching’ the system to improve its analytical abilities.
Our collaboration with the infrastructure research and consultancy firm Unihorn has enabled the development of a system that can efficiently monitor road networks for indicators of degradation that require maintenance.
McKinsey has noted that fixed assets (such as roads) rarely have dedicated regional maintenance teams. Inspectors and workers therefore have to cover large areas with limited information on the work required at each location.
Unihorn’s solution INSPECH – powered by BrainMatter – removes the guesswork from this process by analysing camera images to identify sections of road that require maintenance.
The challenge at Schiphol was to improve the performance of assets ranging from light fittings to wifi access points while eliminating costly and time-consuming manual inspections.
With more than 70 million passengers moving through the airport last year, a solution was required that could monitor thousands of different assets and flag up potential issues.
BrainMatter’s ability to identify and learn the characteristics of individual assets has enabled intelligent automation of these assets, allowing Managers and Inspectors to receive automatic notification of maintenance requirements, minimising downtime.
Are you interested to have more in-depth information about these cases? Download our free ebook!