Mark Reynolds presented at these Oil and Gas Conferences and .NET and DevOPS events during 2017.
March 21-23, 2017
March 28-29, 2017
April 19-20, 2018
E&P organizations are turning more attention to accumulated data to enhance operating efficiencies, safety and recovery. The computing paradigm is shifting, the o&g paradigm is shifting and the rise of the machine learning paradigm requires careful attention to top-down integrated systems engineering. A system approach will be presented to stimulate out-of-the-box thinking to address the machine learning paradigm.
June 6-7, 2017
Two years ago, Machine Learning, 4th Paradigm, and eScience were seldom discussed in O&G. Today, these topics and the role of data, data knowledge, artificial intelligence are topics found in planning, engineering, and improvement. The promises and pragmatic realities of the 4th Paradigm are explored in this presentation.
Azure Machine Learning is a cloud predictive analytics service that makes it possible to quickly create and deploy predictive models as analytics solutions. Getting started is easy. The first working prototype is an easy evening project. But Azure Machine Learning will grow to extremely complex projects. This session will demonstrate initial projects utilizing multiple data science principals
Will your application be rock solid and maintainable? Common principals are share by most rock solid and maintainable applications.