As news about COVID-19 continues to evolve and alter our daily lives, we wanted to keep you up-to-date about the Machine Learning Symposium and how the event is being impacted. At this time, the symposium is set to take place as scheduled.
Join industry innovators to share ideas, best practices, and key learnings in the development and application of machine learning technologies.
The 2019 Oil & Gas Machine Learning Symposium was a huge success as it hosted thought leaders from E&P companies, consulting firms, and large technology companies. This year’s Symposium will be even larger and more impactful. With a focus on geoscience, reservoir characterization, and technology, the Symposium will highlight developments in AI, Machine Learning, Deep Learning, Data Analytics, Cloud Computing, and the Industrial Internet of Things (IIoT). Together, these technologies are enabling the Digital Transformation of the energy industry, starting in the upstream where hydrocarbons are found and monetized.
29 OCTOBER 2020
POST OAK HOTEL AT UPTOWN HOUSTON
1600 WEST LOOP S, HOUSTON, TX 77027
To see recap of our 2019 event, click here
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AI, Deep learning, and
IOCs and NOCs are adding data analytics teams to apply statistical, machine learning, and deep learning tools to all aspects of exploration and production, from seismic interpretation through reservoir engineering and production. Find out why these technologies are changing workflows and upending traditional interpretation methods.
Start the day with a networking breakfast, followed by a series of talks by industry thought-leaders in the morning plenary session that extends through lunch. Then, engage with innovators in the afternoon breakout sessions on ML/Cloud Technologies, Machine Learning Applications, Reservoir Engineering, and the Future of Geoscience.
Engage with other innovators and thought-leaders to exchange ideas and capture new ways to apply Data Analytics and Machine Learning to your business area. Meet leaders in the tech sector and across the energy industry who are pioneering the application of these new tools.
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