Anela Husković, graduated from University of Electrical Engineering and computing in Zagreb as well as from EURECOM, Graduate school and research center in digital science, in France. She started her career in BMW in R&D department developing machine learning models for driver state detection in half-autonomus vehicles.
She joined Microsoft 2 years ago as technical specialist for advanced analytics and artificial intelligence spending most of her time helping enterprise customers adopt AI technologies. Today she is working for Microsoft Services as an Area Solution Architect focused on transformational Data & AI workloads in CEE region.
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An onsite video camera captures the scene, and a device inside the station running Microsoft Azure IoT Edge can now use artificial intelligence tools to pick out that behavior — out of all the cars coming and going, drivers cleaning windshields, customers buying snacks — as a potential safety risk.
It’s a first line of defense on the “intelligent edge,” where data is quickly processed close to where it’s collected, without accessing the cloud, and simple machine learning algorithms can dispense with anything that’s not of interest. They can also be trained to look for other high-risk incidents: people driving recklessly, theft, improper fueling.