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.