OdysightAI
Gilad Senderovich is a Data Scientist and Computer Vision Researcher at OdysightAI, where Gilad develops video analytics systems for predictive health maintenance. Gilad has previous experience as a Data Scientist at VisionMap, where Gilad worked on machine learning models for geographic data analysis and graph link predictions. Gilad also held roles at Israel Tech Challenge and INSIGHTEC in the fields of Data Science, System Validation, and Software Configuration & Installation Management. Gilad holds a Master of Business Administration (MBA) from Tel Aviv University, a Master of Science (MSc) in Medical Physics from Tel Aviv University, and a Bachelor of Science (BSc) in Physics & Mathematics from The Hebrew University of Jerusalem.
OdysightAI
Odysight.ai is pioneering the Predictive Maintenance (PdM) and Condition Based Monitoring (CBM) markets with its visualization and AI platform. Providing video sensor-based solutions for critical systems in the aviation, transportation, and energy industries, Odysight.ai leverages proven visual technologies and products from the medical industry. Odysight.ai’s unique video-based sensors, embedded software, and AI algorithms are being deployed in hard-to-reach locations and harsh environments across a variety of PdM and CBM use cases. Odysight.ai’s platform allows maintenance and operations teams visibility into areas which are inaccessible under normal operation, or where the operating ambience is not suitable for continuous real-time monitoring.