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Artificial Intelligence & Autopilot We develop and deploy autonomy at scale in buildings, hotels, factories, and more. We believe that an approach based on advanced AI for vision and planning, supported by efficient use of inference hardware, is the only way to achieve a general solution for full self-driving and beyond.
Data Scientist uses IoT data to create visualization, discover insights, create dashboards, and train machine learning model. Finally, they must create reports and executive summaries for customers and executives.
Code and develop web device connectivity interface with IoT and smart devices such as solar inverter, battery, air conditioning systems, light switch, sensors, and other types of IoT devices etc.
Build a space behaviour analytics software (IVA: Intelligent Video Analytics) based on real-time video streaming data which will be inference on-premise on edge technologies. By inference at the edge, software/model auto-update at the edge and device monitoring is essential for scaling. By dealing with streaming data from all properties (i.e. building), data drift needs to be detected and retrain the model automatically.