Data analytics paired with predictive maintenance can be a virtual goldmine for mining operations, with initial cost reduction and productivity gains of an estimated 10% to 20%.

AI/Machine learning: Various models as seen above, all involving prep work to condition data and the use of algorithms to generate a model and seek out correlations, patterns and relationships in ...

Australia-based Tyton Ecological Intelligence (Tyton EI) has launched the world’s first Machine Learning as a Service (MLaaS) ...

Thus, the main aim of this research is to implement data mining and machine learning algorithms to create a model that accurately predicts crop yield. For this, the data is acquired, processed and ...

Q&A: Data, analytics, AI ‘vital for competitive advantage’ in mining – Rio Tinto. Rio Tinto CIO Dan Evans says AI can help mining companies with optimisation, safety, efficiency, innovation and ...

Artificial intelligence is a global topic that holds significant importance in recent years. It sparks debates about its usage, but despite the contradictions that arise, there are many benefits to ...

Technological innovations, particularly in the data and machine learning space, are pivotal in addressing the increasing global demand for critical minerals, highlights geoscience software company ...

Dive into the world of predictive analytics. Unlock insights, understand real world use cases and harness future trends in data science. Editor's Note: This article has been updated on February 2 ...

Discretization: The process of converting continuous data into discrete intervals or bins, facilitating easier analysis and improved performance in classification tasks.