By Eduardo Coloma, CEO, Maptek
Eduardo Coloma
Every company feels the pull to become a data company. The cloud is now accepted as the modern foundation for managing data, promising unlimited data storage space. However, increasingly larger datasets collected from multiple sensors and systems bring novel challenges for effective and efficient value extraction. Complexity also increases with multiple providers offering proprietary data formats. Everyone is claiming a best-of-breed solution, leaving end-users wallowing in an information mire, without a clear strategy for decision support.
Maptek has developed various strategies to answer the need to harness both data and data management. GeoSpatial Manager offers smart visualization tools combined with a simple web interface to deliver a single source of truth for managing as-built surfaces across an organization. Dynamic updates to surveyed surfaces allow users to manage, visualize and download any as-built surface at any point in time over the life of a project and apply it to downstream tasks. Opportunities then arise to automate workflows involving surface data and improve cross-team collaboration and inter-team communication.
Many organizations are developing use cases for data analytics and machine learning that will deliver significant business outcomes. Computing frameworks such as Maptek DomainMCF combine cloud computing power and machine learning to deliver resource and grade trend models 2000 times faster than traditional methods. Speedy turnaround on modeling scenarios releases professional staff for in depth analysis and investment reporting. In this way the power of technology augments the power of the user.
