Machine Learning, Deep Learning & AI in Oil and Gas - From the Energy Conference Network

Event Closed

This event ran April 19-20, 2016 and has now finished.

THANKS FOR ATTENDING! WE LOOK FORWARD TO SEEING YOU AT THE
2ND ANNUAL IOT IN OIL AND GAS IN SEPTEMBER!


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CLICK HERE TO PURCHASE THEM


ATTENDING COMPANIES INCLUDED:

 

FEATURED SPEAKERS INCLUDED:


TESTIMONIALS FROM THE EVENT

“I thought the Machine Learning, Deep Learning, and AI in Oil & Gas conference was a worthwhile investment for Hortonworks, and enjoyed networking with  professionals that are driving the adoption of advanced analytics in our industry.” – Kenneth Smith, General Manager, Oil & Gas, Hortonworks

“I found the Machine Learning in O&G conference provided a view into the breadth of AI and Software innovation being pursued for the industry.  The presentations were very informative and I met a few people who may help me and my business in the future.”Matthew Krueger, Analytics Engineering Leader for GE Power Services

“It is really a pleasure seeing so many companies interested and pursuing opportunities in ML, AI and DL. I look forward to further events!” – Dr. Gilbert Haddad, TLM Analytics Manager, Schlumberger

“I was impressed with the event attendees, range of topics, and blend of customer, vendor, and thought leader presentations. Energy Conference Network put on a first class event and I look forward to the next one in September (2nd Annual IoT in Oil and Gas).” – Craig Harclerode, O&G business Development Executive, OSIsoft

“This was my third ECN speaking engagement and, as usual, the quality and quantity of the attendees was very impressive; senior people from the leading companies in the oil patch, both end users and suppliers. The variety and quality of the speakers was also interesting and high respectively. I made several useful business contacts and always plan to be available to meet ECN speaking invitations in the future. They are a very good investment of a day of my time. Finally, the opportunity to network with like-minded Industrial IoT professionals at lunch and during the coffee breaks was enlightening.” Steve Jennis, SVP, PrismTech


 

SURVIVE – AND THRIVE

IMPROVE EFFICIENCY, MAXIMIZE PRODUCTION AND REDUCE COSTS 

In the low oil price environment, oil and gas operators need to reduce costs and boost operational efficiency through the efficient and effective use of data.

Companies are investing in predictive technology to become more productive – and to be ready for the inevitable increase in barrel prices.

Artificial Intelligence and Machine Learning have enabled operators to augment human capabilities – to automate processes and gain previously unobtainable outcomes.

With massive amounts of computational power, machines can now analyze large sets of data points and apply relationship modeling in a predictive way and in real time. Big Data technology has the potential to leverage machine learning capabilities enabling accurate and real time decision making improving overall operating efficiency and reducing unnecessary cost.

Learn the latest developments in artificial intelligence and how companies can improve asset health and increase operational efficiency by applying the optimal deep learning and machine learning techniques and technologies.

By 2020, the consulting group Gartner estimate that over 25 billion devices will be connected to the cloud, many of them new sensors deployed across multiple industrial domains

Event Brochure

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