achine Learning & Advanced Analytics at Scale: A Platform Approach

Time: 10:40 am
day: Day One


  • Data Science (DS) solutions need to lead to actions to realize value. Production DS is not only about algorithms: data pipeline development, feature engineering, model validation and lifecycle management are fundamental components. 
  • At Equinor, we are approaching DS from a platform perspective. We solve different problem sets with a common “mold”. As a result, we reduce our implementation costs. We call this methodology epsilon-cost scaling. 
  • This is being applied to operational planning and predictive maintenance for instance. Details will be discussed including: 
  • Data as a critical asset 
  • Platform approach to DS 
  • Epsilon-cost scaling advantages & constraints 
  • Focus on speed to build business impact