You may have oil and gas production sites scattered from the mountains to the prairies, to the oceans and offshore in the beautiful, but super remote seas around the globe. Collecting and consolidating that remotely located data is one thing—pushing it back out to your varied end-users in an actionable and analyzed format may be a whole, more complicated other story.
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In 2011, IBM’s Watson took on two of Jeopardy’s top winners in a contest of knowledge and speed. After three exciting days, Watson had more than tripled the winnings of either human. Let's apply that to oil and gas production data insights enabling you to triple your 'winnings' - by gaining more production, more profits and more sustainability.
In the digital oilfield that lives on data and is powered by computers light years past Watson, end users are starting to get answers to questions they never dreamed of asking before.
Instead of competing with computers, many oil and gas producers are teaming with AI (artificial intelligence) so that everyone wins. And keeps winning.
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It’s surprising how many operators are using one software system or company to monitor tanks, 
another to automate pumps and yet another for back office reporting software. There may have been a time in history when this was necessary—there was a lot of narrow specialization at one time—but it is definitely hard to keep up with.
When something goes wrong, who do you call? If the problem is beyond the scope of your own people’s training, is the issue with the software, the communication system, or the security of it all? And then who is going to fit the problem itself? This does not help you, or your team focus on your production.
After all, you digitally transformed your operations to increase efficiency, not create confusion and headaches.
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