Machine Learning & Artificial Intelligence
Use your data to reach operational efficiency.

How will you apply machine learning?
Production optimization
Job site safety
Demand prediction
Risk mitigation
Predictive maintenance
Resource exploration
Grid management
Demand response
Capacity management
Data Science Project Phases
Strategy
In our first phase of an ML project, we outline strategic goals. We match the problem with the solution, define the scope of work and plan the development.
Dataset Preparation & Processing
The second stage of project implementation is complex and involves data collection, selection, pre-processing, and transformation. Each of these phases can be split into several steps.
Dataset Splitting
A dataset used for machine learning should be partitioned into three subsets — training, test, and validation sets.
Modelling

Model exploration, refinement, evaluation, deployment then maintenance.
Data-Driven Performance
Predictive maintenance
Production Optimization
Operations Management
Health and Safety
