Seven months into his role as Head of IT at JMS Mining, Rajesh Dutta encountered an industry defined by technological immaturity. His background in manufacturing and consulting revealed a sector where heavy machinery, stringent regulations, and inadequate digital infrastructure converge in ways that set mining apart from conventional office or factory environments. Underground operations—where equipment functions far below the surface with inconsistent connectivity and tight governmental oversight—demand solutions tailored to their unique constraints.
Dutta sees a paradox at the heart of mining’s technological story: the industry lags significantly behind in adoption, yet this gap creates substantial opportunities for innovation. Coordinating machinery operations with human service delivery adds another layer of complexity that standard enterprise solutions rarely address.
Safety and Operational Focus
Safety and surveillance became priorities during Dutta’s tenure. Video cameras now span mining facilities systematically, and the organization is integrating video analytics with artificial intelligence to strengthen mine safety and security protocols. This approach recognizes that technology can substantially mitigate risks in an inherently hazardous industry.
Digitalization also drives operational efficiency. JMS Mining’s transition to operating its own mining assets and managing direct coal sales has intensified the need for rigorous processes and productivity improvements. Dutta emphasizes that technological implementation must be paired with organizational development, particularly through HR automation initiatives designed to strengthen workforce collaboration, transparency, and engagement.
The People, Process, and Technology Framework
Dutta’s philosophy rests on three interdependent pillars: people, process, and technology. Mining operations remain predominantly manual and hands-on, with workforces often lacking IT proficiency. Closing this skill gap represents one of the most significant barriers to successful digital adoption.
His perspective on enterprise IT evolution reflects industry trends. Organizations have progressively moved from on-premise systems to cloud-based infrastructure, accelerated by pandemic disruptions. Data management—encompassing data lakes, analytics, and business intelligence—followed. Artificial intelligence now marks the next phase, though many organizations remain in proof-of-concept stages. Dutta highlights a persistent challenge: governance obstacles frequently prevent progression from experimental phases to production implementations, and the path to measurable business value from AI investments remains uncertain for many.
Digital Twins as Operational Transformation
Manufacturing industries have deployed digital twins—virtual replicas of physical operations—with notable success. Dutta envisions similar applications for mining, where underground conditions remain largely unknown until excavation begins. By integrating Internet of Things technology, artificial intelligence, and digital twin platforms, mining organizations could substantially improve operational planning and execution. These virtual replicas would capture equipment performance data, conveyor system operations, environmental conditions, and machinery health indicators.
Accurate digital representations of underground operations could enable predictive failure analysis, production optimization, and crucially, improved safety outcomes. International mining operations in Australia and South Africa already demonstrate this concept’s viability through remote operational control from centralized command centers, where digital representations support real-time decision-making.
Connectivity as Infrastructure Foundation
Despite digital twins’ potential, their implementation depends entirely on reliable data transmission from underground to surface operations. Dutta identifies connectivity as the most critical challenge facing mining digitalization. Establishing dependable underground connectivity presents an exceptionally demanding technical problem. JMS Mining is currently testing multiple technological approaches, including 5G networks, alternative wireless systems, and physical infrastructure cabling, to resolve this fundamental limitation.
Practical Implementation Areas
Asset and inventory management represents another domain where immediate operational gains are anticipated. Managing expensive and heavy equipment across multiple locations requires systematic oversight. The organization is implementing SAP systems with preliminary exploration of AI-driven inventory optimization applications. Dutta advocates for measured technological advancement, cautioning against pursuing emerging technologies without first establishing value from existing implementations.
Long-Term Strategic Vision
JMS Mining’s progression toward intelligent underground operations remains in early developmental stages, marked by experimental initiatives, infrastructural limitations, and sustained strategic commitment. The organization’s vision encompasses establishing a centralized command center for monitoring and controlling mining operations, with digital twins enabling scenario simulation before ground-level execution. This transformation represents the pathway through which the organization intends to achieve elevated operational maturity and competitive positioning.
Digital Twins, Cloud and AI Push JMS Mining Toward a Safer, Smarter Underground Future
Rajesh Dutta took over as head of IT at Kolkata-based contractor JMS Mining seven months ago and faced a fundamental question: how could one of India’s largest underground coal specialists catch up with industries that have already embraced cloud computing, artificial intelligence, and the Internet of Things? The answer, now unfolding in pilot projects across the company’s shafts, centers on modern data links, AI-driven safety tools, and a long-term plan to build a command centre capable of visualizing and controlling operations hundreds of metres below ground.
Dutta’s transformation effort matters because it illustrates both the technological lag and the untapped potential of underground mining. Unlike factories or offices, mines mix heavy machinery, unstable geology, and constrained connectivity, making digitization notoriously difficult. Yet the same constraints create outsized benefits for well-targeted innovations that save lives, cut downtime, and reduce environmental impact.
The push begins with safety. Since January, JMS has installed video cameras throughout its mines and integrated them with analytics software. Dutta says the goal is “zero harm”—a theme echoed across the global sector, where AI-powered intelligent safety systems are expected to become more sophisticated and embedded in daily workflows, according to a September 2025 industry assessment on zero-harm mining intelligent safety systems. For JMS, every camera becomes a sensor: algorithms can flag a missing helmet, unauthorized entry, or smoke in real time, triggering alarms faster than human spotters.
Surveillance, however, is only the starting point of a much broader digital architecture. Dutta’s roadmap follows a familiar three-pillar formula—people, process, and technology—but applies it to an environment where most tasks remain manual. Mines operate loaders, drilling rigs, and conveyor belts deep underground, while maintenance teams shuttle parts up and down narrow shafts. Until recently, neither the machines nor the inventory systems generated continuous data. “We have to wire the mine before we can mine the data,” Dutta says.
Laying that wiring is arguably the hardest part. Radio signals struggle through rock, and stringing fibre cables along tunnels is costly. JMS is currently trialling multiple solutions, including 5G repeaters and ruggedised Wi-Fi, to build a backbone capable of streaming sensor feeds to the surface. Only with reliable connectivity, Dutta says, can the company adopt the predictive-maintenance and autonomous-vehicle applications that are reshaping other extractive markets. Analysts agree: AI is transforming mining through predictive maintenance, autonomous technology, and environmental, social, and governance gains, according to consultancy RSM UK AI and the future of mining.
Those applications depend not just on bandwidth but also on cloud scalability. By shifting its enterprise resource planning to SAP’s cloud version this year, JMS hopes to integrate operational data with HR and finance modules, allowing leaders to see how a delay in parts delivery affects both equipment uptime and labour allocation. Industry researchers predict that cloud computing and IoT integration will enhance AI capabilities by linking mine sites through robust digital ecosystems AI in mining market.
Digital twins are the next step. Borrowed from manufacturing, a digital twin is a virtual replica that updates continuously with sensor inputs, enabling planners to run “what-if” scenarios before touching rock. For an underground coal seam, that could mean simulating airflow changes from a new ventilation shaft or testing whether an alternate conveyor route reduces energy consumption. International examples in Australia and South Africa already operate remote operations centres where engineers, seated hundreds of kilometres away, control autonomous equipment via such twins. JMS aims to follow suit by creating a central command room in Kolkata within three years.
The business case is two-fold. First, predictive analytics can detect equipment failures hours or days before they occur, sparing both repairs and production losses. Second, simulation lets supervisors design safer blast patterns or evacuation routes in advance. Both benefits translate into lower cost per tonne at a time when India’s power generators demand steady coal supply yet regulators impose stricter safety requirements.
Technology alone, however, is not a silver bullet; culture weighs heavily. Many miners carry feature phones rather than smartphones, and some question whether sensors add value to hard-won on-site experience. To bridge this gap, JMS is automating HR processes—attendance, training records, shift rostering—to give employees direct digital touchpoints. Once workers log in daily to view tasks or certifications, managers can push micro-learning modules about how AI predicts conveyor belt wear. “We have to build digital muscle before flexing it,” Dutta says.
Asset and inventory management provide an immediate proving ground. Each shearer or roof-bolter costs millions of rupees, and spare assemblies often weigh more than a compact car. Misplaced parts can idle production for days. By tagging tools with RFID and feeding location data into SAP, JMS expects to cut search time and maintain a real-time ledger of critical spares. Longer term, the company is exploring AI-driven inventory optimization that recommends reorder points based on usage patterns and supplier lead times—again echoing the predictive-maintenance paradigm that RSM UK highlighted.
JMS’s timeline reflects a broader industry pattern. According to RSM, many miners remain stuck at proof-of-concept stage, unable to scale AI pilots because of governance hurdles and uncertain return on investment. Dutta acknowledges the risk: “If we rush into the next shiny technology before squeezing value from the last one, the board will pull the plug.” Hence a phased approach: stabilize connectivity, move core business systems to the cloud, implement analytics for maintenance and safety, then layer on autonomy.
Whether the plan succeeds will depend partly on India’s regulatory environment. Authorities have begun encouraging digitization to improve safety audits and environmental compliance, but standards for underground wireless networks remain in flux. In this vacuum, JMS must design systems flexible enough to meet future rules on data retention, spectrum use, and cyber-security. That regulatory uncertainty also colours the ESG narrative. While AI can help reduce carbon intensity by optimising haul routes or spotting energy waste, any credible claim requires transparent data, something only a mature digital stack can provide.
By the same token, investors and lenders increasingly ask miners to quantify ESG progress. JMS’s early analytics output already feeds monthly dashboards that track incidents avoided thanks to video-based alerts. Over time, Dutta wants to extend those dashboards to ventilation energy usage, diesel consumption, and even vibration levels that affect nearby communities. The ESG dimension, highlighted by the RSM analysis, becomes both a compliance tool and a source of competitive advantage when bidding for new contracts.
Analysis of the company’s approach offers lessons for peers. First, start with a clear pain point—safety—and choose technology that yields quick wins without overwhelming users. Second, treat connectivity as critical infrastructure; no AI algorithm can run on missing data. Third, integrate operational and enterprise systems so that insights translate into budget decisions. Finally, keep pilots small but measurable, using them to train both algorithms and people.
Yet the strategic vision remains ambitious: an underground operation visible in real time at the surface, interpreted by AI and steered by humans armed with simulations. If JMS pulls it off, the project could showcase how emerging economies can leapfrog stages of digitization, adopting cloud and AI in one coordinated move rather than years of incremental upgrades. The stakes are high—not just for efficiency, but for the thousands of miners whose safety may depend on an algorithm trained to detect the glint of a forgotten headlamp.
For now, Dutta’s team continues testing routers in damp tunnels and fine-tuning image recognition models. The progress might seem mundane, but each baseline connectivity milestone paves the way for the predictive maintenance, autonomy, and ESG gains that experts forecast. As the industry’s technology gap begins to close, JMS Mining aims to prove that the deepest breakthroughs sometimes start far beneath the surface.
Sources
- https://im-mining.com/2025/09/18/intelligent-safety-systems-ai-paving-the-way-for-zero-harm-mining/
- https://www.rsmuk.com/insights/advisory/ai-and-the-future-of-mining
- https://www.openpr.com/news/4299050/ai-in-mining-market-set-to-revolutionize-global-extraction
