Improved Geolocation Opens Up New Wave of Use Cases
AI and machine learning, combined with important technical developments, are enabling a vast number of new geolocation use cases.
Mark Winton is a Product Development Manager in the GNSS Department at Quectel Wireless Solutions, a leading global supplier of cellular and GNSS modules for wireless technologies like 5G. He is an experienced Technology Leader with a long history of innovating in the GNSS domain. Mark has a strong background in RF Design and the development of PMR Radio. He spent four years as a Senior Field Application Engineer supporting Quectel's cellular and Smart Modules. He has previously founded, incubated, and spun off multiple GNSS-related businesses. His interests lie in finding unique uses for GNSS and combining GNSS with other technologies to create new synergies. The companies he founded sponsored, collaborated, and managed PhD level research into building tools using machine learning (AI) to find unique Geographical patterns in GNSS data.
AI and machine learning, combined with important technical developments, are enabling a vast number of new geolocation use cases.
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