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Some time ago I wanted to get a clearer understanding of:
who and how was really innovating in the Oil & Gas industry.
Industry 4.0, IoT, advanced Data Analytics are all very nice words, but who is really pushing the boundaries and what are the business models these new technological trajectories are enabling?
Well, "you can not discover new things using a mindset of the past"
so I decided to invest a small amount and ask my friends of ErreQuadro to help me.
Here is the results, and the approach I used.
If you want a hand to apply it for your company,
give me a call
The guys of Erre Quadro have assembled a very nice Cognitive Engine tool and a kind of A-team of PhDs, to use novel approaches like semantic databases, induction decision trees and clustering algorithms to dive into the World Patents archives in a very effective way and with powerful visualizations.
The job some dozens of analysts were only thinking to approach, is done by Erre Quadro in few days.
The result is quite nice insights that can let you have a clear picture of a vast and complex scenarios.
I use ErroQuadro to support me in at least 3 key phases of the business intelligence and strategic analysis of technological product and services:
"NLP builds a bridge between documents that are not linked or referrable"
Going back to my original question, here is the result of my quest to identify the most interesting Startups playing in the Oil & Gas industry, i.e. patenting novel ideas and tackling the market with new business models.
The analysis made by ErreQuadro has identified some 300 patents filed in the preceeding 10 years by startups and corporations world-wide.
From there it was easy for me to investigate the main technology used and applications:
I have identified 7 key applications for latest technologies in the Oil & Gas industry:
I have identified 10 key technologies used to abilitate the 7 applications.
7 of them can be immediatelly related to the 7 applications, while the remaining 4 are supporting technologies that help decouple physical media from digital information.
The first 7 technologies support the virtualization of the industry, while the other 4 support the robotization of the industry.
The main problems solved by these technologies are:
This short analysis has allowed me to have a clear panorama of the key technological trends, their applications, key players, geographical and industrial adoption.
It didn't take more than a few days, and a very limited budget, but it's result were painting a quite interesting scenario.
So interesting that has been presented to the annual ANIMP ( Italian industrial plants supply chain association ) Congress in 2017.
If you want to know more about its key players or expand it for your specific needs,
give me a call.
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