Presented By O’Reilly and Cloudera
Make Data Work
September 11, 2018: Training & Tutorials
September 12–13, 2018: Keynotes & Sessions
New York, NY
Cris Lowery

Cris Lowery
Senior Manager, Baringa Partners

Cristobal Lowery is a senior manager and team lead for Baringa Partners’s modeling and machine learning centre of excellence, where he led the creation of Baringa’s data science and analytics team and supported our clients in their journeys to become leaders in artificial intelligence. Previously, he was an independent data science consultant in an investment bank and for a leading Formula 1 team. Cristobal is a passionate advocate of artificial intelligence and its potential to transform businesses. He holds two first-class master’s degrees in quantitative subjects and has published and patented a machine learning system.

Sessions

11:20am–12:00pm Thursday, 09/13/2018
Predicting residential occupancy and hot water usage from high-frequency, multivector utilities data
Location: 1A 08 Level: Intermediate
Secondary topics:  Temporal data and time-series analytics
Cris Lowery (Baringa Partners), Marc Warner (ASI)
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In EU households, heating and hot water alone account for 80% of energy usage. Cristobal Lowery and Marc Warner explain how future home energy management systems could improve their energy efficiency by predicting resident needs through utilities data, with a particular focus on the key data features, the need for data compression, and the data quality challenges. Read more.