Companies face daily challenges recording, storing, and managing large volumes of unstructured data such as images, videos, and voice. These challenges include storage costs, computational resources, scalability, latency, and finding solutions that combine security, protection, and privacy.
TomTom, a pioneer in street imaging, has accumulated over 17 petabytes (PB) of mobile mapping data, continually growing. They process mobile location data, translating it into routing information and hazard alerts for app users. As technology advances, new product possibilities, such as autonomous vehicles, arise. TomTom trusts Microsoft to deliver the performance required to meet customer demands for instant mapping information while ensuring performance, compliance, security, and privacy needs.
Another use of images and videos is by the Danish company Sund & Bælt Holding A/S, which uses Microsoft’s cognitive services to monitor the concrete of Denmark’s largest bridge, the Great Belt Bridge, ensuring user safety. They capture images around the bridge via drone, apply algorithms to analyze these images, and compile results into a report for preventive maintenance strategy.
Lufthansa CityLine GmbH uses Azure solutions to process live video feeds from airport cameras, integrating data via the IoT Hub for real-time analysis. This helps ground coordinators and managers quickly track and manage stops. The platform alerts them in real-time about issues that may cause delays, like a late fuel truck. With automated data ingestion, Lufthansa CityLine knows exactly where their aircraft are and when each ground service begins and ends, optimizing processes to reduce delay risks.
Another growing adoption is cognitive services for enhanced security. Uber implemented periodic driver selfies to compare with the driver’s photo on file, validating identity in real-time, adding another layer of protection, and ensuring the right person is driving.
Uber enhances platform security with Face API, part of Microsoft Cognitive Services.
CargOn developed a B2B platform to simplify the logistics process, needing a third party, an independent professional or carrier, for transportation. Often, a different person than the one contracted performs the transportation, and in case of an incident, insurance does not cover it, leaving them vulnerable to theft. To secure the process, CargOn integrated Azure cognitive services into their platform, requiring drivers to take a photo of their license and themselves for identity validation in seconds. With security, everyone in the process benefits, from the contractor to the driver and those waiting for the cargo. AI verification provides more security for contractors and end clients, ensuring the cargo arrives.
CargOn modernizes its cloud infrastructure with AI solutions.
These are just a few examples, but numerous possibilities can be constructed to generate more innovation, intelligence, and business security. For those starting to work with cloud-based solutions or Azure AI, on September 24, 2022, Microsoft will hold the “Microsoft Azure Virtual Training Day: AI Fundamentals” event to discuss key AI concepts and how to create solutions using Azure services. Spaces are limited, so secure your spot today. To register, click the link below:
