Tom Keane: Geospatial imagery unlocks new cloud computing scenarios on Azure

Many visionaries and technology leaders today love to speak about the endless possibilities of cloud computing, where we can run our computing flexibly from anywhere in the world. However, as cloud services engineer Tom Keane recalls, one thing that needs to be added to this discussion is geographical constraints. 

These constraints are imposed by suppliers like geography or lack thereof can create strings-attached limitations for organizations. Microsoft hopes to be the primary provider of space-related services through Azure. Led by Tom Keane, Azure has a global reach, so Microsoft has made it possible to use the same infrastructure and programming language to access data in a geospatial location.

This, without any geographical limitations. One of the main hot topics on cloud computing nowadays is the higher flexibility and on-demand delivery of computing. According to Tom Keane, this is also an excellent thing for supply chains because it will alleviate some of the delays in terms of stock levels, and it can also help be more efficient by handling more deliveries simultaneously. 

Predicting disruptions before they happen through machine learning and artificial intelligence is possible. For Tom Keane, the organization can use this information to plan and avoid interruptions altogether. At the same time, organizations can also use this data to be more efficient in managing unplanned events.

In emergencies, such as an earthquake, it is essential to quickly and safely reach those needing assistance. If these events have been predicted, organizations can prepare and ensure they are ready for these situations as Tom Keane finally adds. Offering this type of information will empower them to respond better, thereby saving more lives in the process. A helpfully-named combination of Azure and aerial imagery can help identify hazardous conditions before they occur and prevent the impact on lives that are at risk.