Jake Bouma

Jake Bouma

Director of Smart Maintenance in Industry Solutions Cognite

Jake Bouma is Director of Smart Maintenance in the Industry Solutions team at Cognite, a global software company supporting the full-scale digital transformation of heavy-asset industries around the world. Jake has a background in Nuclear Physics and experience building data science teams and applying predictive maintenance across a number of industries. At Cognite, Jake leads the Smart Maintenance team, working together with Cognite's customers to cocreate data-driven solutions to reduce downtime and maintenance costs.

Time and date Venue Topic Speakers

Thursday 07/11/2019

From 14:30 To 15:00

11/07/2019 14:30 11/07/2019 15:00 Scaling the Value of Machine Learning in Oil & Gas Beyond Pilots Moving from machine learning proof of concepts to full industrial-scale deployments is the single largest paradigm shift industrial AI needs to undergo to move from value projections to true value capture. This presentation will cover key topics that operators need to address in order to be able to implement machine learning at scale.
 
  • What does it mean to scale ML in the O&G industry?
  • ML application development strategy and architecture
  • Using physics guided machine learning for greater model confidence
  • Addressing data quality and data availability necessary in modelling
  • Certification of ML models and their live data pipelines
  • ML for HESQ
Future Technology & Innovation Forum

Future Technology & Innovation Forum

"Scaling the Value of Machine Learning in Oil & Gas Beyond Pilots"

Jake Bouma
Time and date

Thursday 07/11/2019

From 14:30 To 15:00

11/07/2019 14:30 11/07/2019 15:00 Scaling the Value of Machine Learning in Oil & Gas Beyond Pilots Moving from machine learning proof of concepts to full industrial-scale deployments is the single largest paradigm shift industrial AI needs to undergo to move from value projections to true value capture. This presentation will cover key topics that operators need to address in order to be able to implement machine learning at scale.
 
  • What does it mean to scale ML in the O&G industry?
  • ML application development strategy and architecture
  • Using physics guided machine learning for greater model confidence
  • Addressing data quality and data availability necessary in modelling
  • Certification of ML models and their live data pipelines
  • ML for HESQ
Future Technology & Innovation Forum
Venue

Future Technology & Innovation Forum

Topic
Speakers