PRESENTATION
2016 - IIOT, Advanced Analytics, & Big Data Forum
Are You Poised to Capitalize on the Industrial Internet of Things (IIoT)? Best Practices for Monetizing Operational Assets
The IIoT revolution is already changing the way we live and work. Leading energy organizations that are embracing IIoT, advanced analytics, and big data technologies are experiencing a step-change in actionable insights to maximize value in their organization. What are these leading companied doing? How can you position your company to capture, democratize, and monetize your data assets? Where do you start and integrate with your existing technology? A strategic methodology and data driven culture is integral that leverages the systems and data you already have with approachable advanced analytics and big data technologies.
Company
Revonos
Speaker
Michael Maguire
Mr. Maguire is CEO of Renovos, a startup company specializing in unleashing the power of Data Assets through data strategy, IIoT integration and Big Data and Advanced Analytic solutions. Previously, Michael was the Global Manager of Production Analysis and Optimization at Noble Energy Inc. In that role, he focused and led teams responsible for production accounting and analysis processes, regulatory, corporate measurement and advanced data analytics. Michael is industry thought leader and expert in investigating and developing advanced analytics and use cases leveraging real-time, relational and unstructured data to monetize the value of operational data assets. Michael is passionate about companies working to transform data into actionable information for use by multiple groups within the organization as well as supporting efforts to integrate operational modelling and optimization into real-world scenarios.
Company
Revonos
Speaker
Wes Dyk
Mr. Dyk is COO of Renovos, a startup company specializing in unleashing the power of Data Assets through data strategy, IIoT integration and Big Data and Advanced Analytic solutions. Most of Wesley's career has been in data engineering, application development and data science roles. He has focused on leveraging data for business and operational benefit through the use of advanced analytics toolsets. Wesley holds a Master of Science degree in applied mathematics, specializing in operations research and mathematical optimization. The combination of his mathematical training and 17-plus years of experience handling data from vast disparate sources puts him directly at the convergence of IIoT and data science