Startups leveraging machine learning to improve exploration targeting

Can we use machine learning (ML) to improve our discovery rate, to help us identify and define targets faster and better? Should the question be how rather than can? Regardless of which side of the fence you sit on, it is interesting to see, particularly in the startup space, who is working on what and which areas they are focusing on. I am also intentionally leaving out the term Artificial/Augmented Intelligence (AI) from this discussion. As a personal preference, I think the term is too broad for this discussion and can lead to unfounded expectations on what can reasonably be achieved. As we move through the hype curve of ML (in terms of recent applications), I believe we now are able to have educated discussions on how approaches can compliment our workflows. Here, I provide an overview of the startups and smaller explorers and consultancies working on pushing the boundaries in the use of ML, specifically in exploration targeting. It has been my pleasure to learn from a lot of these founders directly, and I would encourage you to reach out and do the same. <a href="https://medium.com/unearthed-industry/startups-leveraging-machine-learning-to-improve-exploration-targeting-42490ff6e5a0">Website</a>