There are many terms and definitions thrown around in the AI and ML space that it can be confusing even to trained data scientists. We have used many of these terms around our website. It may be helpful to define these terms to ensure we’re clear on all of the

When using data science, labeling events that occur in the field within the system is critical. With accurate labels and comprehensive well data, the raw materials are then available to train AI/ML models. But these raw materials need to be used the right way to create models that are comprehensive

In AI/ML, a model replicates a decision process to enable automation and understanding. AI/ML models are mathematical algorithms that are “trained” using data and human expert input to replicate a decision an expert would make when provided that same information. Ideally, the model should also reveal the rationale behind its