By Seb Lessware, 1Spatial’s Chief Technology Officer
My last couple of geospatial data predictions included the natural wax and wane of machine learning projects as they succeed or fail, and we have certainly seen that happening in all industries: Eight years ago, the hype around machine learning for self-driving cars was so intense that I wondered if my kids would even have to learn to drive, and here we are, eight years later, and saving up for driving lessons.
In our industry we’ve definitely heard of machine learning projects stopping or reducing their scope to those specific cases where the outcomes are good enough, usually because there is sufficient input data of high enough quality. However, there are still good examples of successful geospatial machine learning projects happening.
