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 ...

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 ...

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 ...

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 ...

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 ...

The Big Data Analytics, Artificial Intelligence and Machine Learning research cluster tackles important problems and develops real-life applications, harnessing technologies to extract insights and ...

Fortunately, there are ways to implement Big Data analytics that aren’t outside PLC programmers’ comfort zone—if they use PC-based control systems. As these platforms have evolved, the walls have come ...

Before marketers commit to and execute their AI strategy, they need to understand the opportunity and difference between data analytics, predictive analytics and AI machine learning.