AI IN MINING efficiencies and enhance processes . But the challenge can be bridging theory and practical application .
“ Across the capital intensive industries , this disconnect between an appreciation of the benefits AI can bring , and a lack of understanding of how to extend those benefits across an entire organisation has been especially acute . There is often a divergence between the well-understood theoretical benefits of AI and the challenge of putting these into practice across a whole organisation ,” he said .
“ Over 2021 , however , we would expect to see this beginning to change . We will see industrial organisations begin to move to a more business first mindset . We expect to see them increasingly applying AI technology to domain-specific industrial challenges with
BOX AI ’ s wide-ranging benefits :
• Discovery processes and drilling operations
• Detecting defects and predictive maintenance
• Detecting driver fatigue , distracted behaviour and lane positioning
• Analyzing the energy buyer market and predicting operational outcomes
• Improving workplace safety and monitoring the workplace
a focus on business outcomes . Yet , even though exploring and identifying industrial AI-enabled use cases may be a source of fascination to some , the starting point of any organisational strategy should never be
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