Applying Machine learning without human generated data cannot give the true desired accurate predictions. Today human generated data is exchanged either in text messages, emails, Instant Messenger etc. before or during well construction. This results in poor knowledge retention, hard to find information not anymore
Allows enterprise users like field personnel, engineers, managers from any discipline to effortlessly share contextual insights - like pictures, videos, comments, successes, best practices etc. in correlation to machine data like bit depths on the company private asset wall. This seamless exchange of information between the field peers, field and office builds a knowledge platform which over time “learn” things about users, posts, decisions, discussions, pictures, videos, to give recommendations, generate reports etc.