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- Toby Burrough
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Innovation Agora Hubs
In 2022 these dedicated zones convened the emerging hydrogen and carbon management ecosystems at CERAWeek and the Innovation Agora.
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CERAWeek Partnerships
CERAWeek Partners help to build a culture of idea exchange, learning, and relationship-building between industry, government and society to secure the global energy future.
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CERAWeek Communities
CERAWeek Communities bring together peer groups to address critical industry issues and promote diversity and inclusion, women’s advancement, and developing future talent in the energy industry.
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About CERAWeek
CERAWeek brings together global leaders to advance new ideas, insight and solutions to the biggest challenges facing the future of energy, the environment, and climate.
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CERAWeek 2022 On Demand
Select sessions from CERAWeek 2022, Pace of Change: Energy, Climate, and Innovation available On Demand
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Sessions With Toby Burrough
Tuesday, 8 March
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10:30am - 12:00pm (CST) / 08/mar/2022 04:30 pm - 08/mar/2022 06:00 pm
S&P Global Workshop | Building Predictive Machine Learning Models to Answer Key Questions in the Energy Industry
Workshop Diversity & Inclusion/Future of WorkforceAdvancements in machine learning technology have greatly streamlined the ability to create predictive models. However, building a reliable predictive model still requires the successful completion of multiple stages, from scanning input data to validating the results of the model. This lab will guide you through the IHS Markit methodology of building predictive models to provide additional insights on how to increase asset performance.
- Speakers:
- Toby Burrough
- Vladimir Rybakov
- Cesar Velasquez
Wednesday, 9 March
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01:30pm - 03:00pm (CST) / 09/mar/2022 07:30 pm - 09/mar/2022 09:00 pm
S&P Global Workshop | The Application of Predictive AI/ML Models
Workshop Digitalization/AI/Machine Learning/Robotics/CybersecurityConditioning the data is the most time consuming, yet critical part of building ML models. In this lab we will discuss model conditioning and the importance of repeatable analytics ready data models. Attendees will then have the ability to work with and create predictive production models to plan and optimize new wells.