Artificial intelligence is a powerful tool, but until recently, has required substantial technical expertise even for a proof of concept. Drone technology has equally been either cheap but unreliable or very expensive and required significant training.
In this video, watch as cofounder Christopher Penn shows the integration of a DJI Tello drone, Google Photos, and IBM Watson Studio’™s Visual Recognition to show a use case for AI in identifying solar panels on a house as a proof of concept.
Using IBM Watson Studio™, you’ll see how to get started creating a machine learning model from photos on your smartphone (or straight from your drone) with absolutely no coding at all, just dragging and dropping photos inside Watson Studio.
Got a question for You Ask, I’ll Answer? Submit it here:
Subscribe to my weekly newsletter:
Please subscribe to my YouTube channel for more #marketing and #analytics videos!
Need help with your company’s #data and analytics? Let me know:
Winning with AI: Drones and IBM Watson Visual Recognition