Digital Mining & AI guide
Digital Mining & AI
Azerbaijan Mining Expo 2027 offers a platform for software developers, data specialists and digital solution providers to demonstrate how their technologies support exploration, planning, production and maintenance.
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Turn Mining Data into Better Decisions
Present a clear use case, show the information your solution delivers and explain how it helps mining teams make better operational decisions.
Data Integration & Operational Analytics
Artificial Intelligence & Predictive Maintenance
Chapter 01
Products and Services
Mine Planning & Scheduling
Software for geological modelling, mine design, production scheduling and scenario evaluation.
Chapter 02
Data Integration & Operational Analytics
Platforms that bring together geological, equipment and processing data through dashboards, reporting and performance analysis.
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Chapter 03
Artificial Intelligence & Predictive Maintenance
Tools for identifying patterns, detecting anomalies and supporting maintenance decisions using equipment and operational data.
Chapter 04
Digital Twins & Simulation
Digital representations of equipment, processes and sites for evaluating scenarios, investigating constraints and supporting planning.
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Chapter 05
Geospatial & Remote Sensing Technologies
Drone mapping, satellite imagery, photogrammetry, LiDAR and software for interpreting survey data.
Chapter 06
Enterprise Systems & Cybersecurity
Asset management, maintenance management, inventory and workforce software, alongside cybersecurity solutions for connected operations.
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Chapter 07
Relevant Applications in Azerbaijan
Azerbaijan’s 2027–2030 mining and metallurgy programme prioritises modern geological assessment and mineral development. This provides a context for digital tools that organise exploration data, support resource interpretation and inform project planning.
Established mining and processing operations—including Chovdar, Gedabek and Demirli—also provide potential applications for production analytics, maintenance software and process modelling.
Commercial relevance depends on the operator’s requirements, available data and existing systems.
Chapter 08
Why Exhibit in This Sector?
Show a Specific Business Outcome
Build your presentation around a defined challenge: production scheduling, equipment downtime, fragmented data or resource interpretation.
Explain what users can do differently with your solution and demonstrate the result through relevant project experience.
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Chapter 09
Make Adoption Requirements Clear
Describe the data, connectivity, hardware and integration needed to deploy your technology. Help potential customers understand implementation time, training and ongoing support.
Chapter 10
Demonstrate How Users Work with the System
Show the steps from data collection to analysis and action. For AI applications, explain how outputs are validated and reviewed by technical teams.
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Chapter 11
Develop Implementation Partnerships
Explore relationships with engineering firms, equipment manufacturers, survey companies and local technology providers that can support deployment.
Chapter 12
Bring Your Software to Life
Use interactive demonstrations, realistic datasets and case studies to make your offering tangible.
Let visitors explore a dashboard, compare planning scenarios or follow a maintenance workflow. Connect each feature to an operational task and a measurable benefit.
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Chapter 13
Introduce Your Digital Solutions in Baku
Present your technology to potential customers and partners working across mineral exploration, mine development and operations.
8–10 September 2027 | Baku Expo Center, Azerbaijan