2nd Annual Machine Learning
in Oil and Gas Conference
April 19-20, 2017 – Houston, TX
The Westin Houston, Memorial City
Attending Companies Include:
Improve efficiency, safety and reduce costs with machine learning in oil and gas
Machine learning has gained global recognition as an opportunity to gather large volumes of information in real-time and translate data sets into actionable insights. In the low commodity price environment, saving time, reducing costs and improving safety are crucial outcomes that can be realized from using machine learning in oil and gas operations.
But investing in predictive technology to become more productive is easier said than done. What are the strategic considerations for adopting an artificial intelligence (AI) platform? How do you implement an AI platform seamlessly with other systems and ensure there’s no cost blowout? And what’s the guarantee for return on investment (ROI)?
The 2nd annual Machine Learning in Oil and Gas Conference will explore these challenges and more. Specialists from leading upstream, midstream, and downstream companies will come together to exchange insights on the latest developments in machine learning. Case studies and interactive panel discussions will enable delegates to also benchmark against industry best practice.
What you can expect from case studies, panel discussions, and roundtable sessions:
- Understanding the needs of your business and identifying viable use cases for machine learning
- Creating a technology roadmap for the short- and long-term in line with business objectives
- A/B testing and implementing machine learning solutions effectively (including interoperability with other systems)
- Examples of successful outcomes from machine learning in oil and gas operations (including an emphasis on tying ROI back to business objectives)
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.
TESTIMONIALS FROM THE 2016 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
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