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Rebalance the energy equation
We work with energy, resources, and utility businesses to create a smart and sustainable future.
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An interview with Debashis Ghosh, President, Business Group Head, TCS
TCS’ recent AI for Business Study surveyed 90 operators in the energy and resources industry, including 48 mining operator and 42 oil and gas companies, and found that most energy and resource operators (92%) have AI implementations planned, in process, or already completed. Miners and mining technologists across the globe are exploring the disruptive possibilities of AI for various corporate functions.
AI makes it possible to redesign mine operations for modular, flexible processes where capacity can be scaled up or down in small increments. It could reshape the mining industry by eliminating the boom-to-bust cycle driven by the traditional capital-intensive approach of large capacity additions.
Over half of the industry is using AI to boost productivity and sustainability, including improving ore analysis, optimizing drilling, and overhauling the mineral recovery process. A welcome shift to autonomous vehicles and AI-driven safety measures are being embraced by the industry practitioners resulting in reduced workplace hazards and environmental impact.
Key trends that are being observed in the usage of AI in the mining industry are:
- Data and digital maturity of the organization: Robust planning and successful deployment of AI are usually seen at progressive organizations that already have a discretion toward enterprise-wide digitalization. Investing in data management with a strong digital core are the key ingredients for a quicker AI adoption.
- Accelerating the key agendas: Intellectual and capital investment in AI is opening new dimensions in the sector. From a reactive post-incident crisis management to pre-empting incident forecasts, AI has given a new fillip to the overall safety standards of the industry. Production volume enhancements are likely to see an upswing via initiatives like AI-enabled command centers and floatation improvements. AI-augmented supply chain and logistics planning is being explored.
- AI remains as an assist and recommendation system: AI can generate insights, but industry personnel on the ground and at the backend hold the key toward interpreting the insights and strategizing the corrective measures.
- GenAI is making faster inroads in the corporate functions: Corporate functions seem to be in the forefront in adopting GenAI than their core business group counterparts in mining organizations. GenAI use cases in contract compliance analysis, product price forecasting, engineering document intelligence, operator fatigue fighter, community engagement are increasing amongst global miners.
From a miner’s perspective, AI and GenAI initiatives are clearly skewed toward the corporate functions of safety, procurement, marketing and sales, and regulatory compliance. But with greater benefits residing in the core processes of mining and exploration, AI initiatives in these sections of value chain are getting wider acceptability.
Looking at the wider acceptability of AI across the value chain of the industry, the impact will be felt across operations, business, and strategy. The reliability of AI is improving by the day, adoption is expected to improve significantly soon. AI’s integration is crucial for the mining sector’s evolution toward a smarter, safer, and sustainable future.
(This is an edited excerpt from an article published on Global Mining Review. Read the full story here.)
Debashis Ghosh
President, Business Group Head, TCS
By harnessing the power of AI, miners can not only meet the demands of a rapidly evolving world, but also pave the way for a more sustainable, resilient, and safe future.
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