Articles by Fernando Damasio and the team on mining standards, water, tailings, applied AI, AI governance, and quantum computing.

Experiment with QAOA in iron ore blending: the IBM QPU matched brute force (US$ 221/t) while the simulator stalled at US$ 309/t.

Understand PL 2338/2023, which regulates AI in Brazil, and what technology companies should do now: risk, documentation, LGPD, contracts, and penalties.

Explore 11 Data Riders AI agents for mining: water, tailings, emergency, field, TSM, Copper Mark, CMSI, ISO 14001, territory, and technical navigation.
Short notes by Fernando Damasio.
28 de ago. de 2026Semana passada foi especial com a realização da #Exposibram2026 na nossa cidade natal #BeloHorizonte #Brasil . Tivemos momentos memoráveis durante o painel: >> "A #InteligênciaArtificial aplicada à #Gestão de #RecursosHídricos na #Mineração " Prazer em dividir…
12 de ago. de 2026Tenho o prazer de compartilhar que serei palestrante no Exposibram 2026, organizado pelo IBRAM - Instituto Brasileiro de Mineração , um dos principais eventos da #mineração no Brasil. Participarei do congresso com o painel “ #InteligenciaArtificial aplicada à…
5 de ago. de 2026Quantum Computing: our 1st algorithm (or can I call it a circuit?) The result that caught my attention in this experiment was the simulator finishing worse than the hardware. We ran a blending problem (10 stockpiles, 1,024 combinations, realistic chemical cons…
5 de ago. de 2026Esse aqui foi um marco silencioso para a Data Riders. Computação quântica. Não é sobre o número final. É sobre a capacidade que a gente passa a oferecer: pegar um problema real de mina, formular em linguagem quântica e rodar em hardware de verdade, com honesti…
3 de jun. de 2026AI regulation in Brazil is not yet in force, but PL 2338/2023 already points to an important shift for technology companies: AI will require governance, documentation, risk management, transparency and evidence. I wrote an article explaining, in practical term…
29 de mai. de 2026Dois dias de aprendizado compartilhado com profissionais que avançam com as melhores práticas e tecnologias para a gestão responsável de rejeitos de mineração na #TailingsBrazil2026 Discussões sobre engenharia, segurança, ciclo de vida, governança, comunicação…
22 de mai. de 2026Compartilho com vocês que estarei na programação do Tailings Brazil 2026, dias 26 e 27 de maio, na Câmara de Dirigentes Lojistas - CDL, Belo Horizonte, MG. Confira a programação: https://lnkd.in/dn9UCBpZ Link para a inscrição: https: https://lnkd.in/dM-Jaatq D…
30 de abr. de 2026AI in mining should not begin with the question: “What can we automate?” It should begin with a better one: Where are we losing time, context, evidence, and confidence in the decisions we already need to make? Mining is surrounded by information: reports, phot…
27 de abr. de 2026Recentemente a Data Riders Consulting & Technical Services lançou 11 agentes de IA para a mineração. 👉 https://lnkd.in/dnqQQPrB A seguir apresento o AquaTwin, um gêmeo digital para o balanço hídrico de mina. 💧 INTELIGÊNCIA ARTIFICIAL PARA GESTÃO HÍDRICA E se…
30 de mar. de 2026#AI + #art + #metals Johan du Toit, PhD , Data Riders Consulting & Technical Services , GISTM.ai
26 de mar. de 2026Quantum computing is one of those topics that sounds distant… until you start seeing how relevant it could become for real industries like mining. That’s why I made this video, to break the subject down in a simple way and explore where it could create real im…
Before mining, we taught cars to drive themselves.
31 artigos sobre padrões, indicadores e tecnologia.

Exploration, planning, maintenance, logistics, and safety: see where quantum computing can deliver real advantage in mining and how to prepare now.

Mining on the Moon is an extreme laboratory for efficiency, automation, electrification, and traceability. See what this field teaches terrestrial mining.

How specialized agents can accelerate evidence review, traceability, and GISTM audit readiness without replacing human technical decision-making.

From the scramble for evidence to continuous readiness: understand why GISTM.ai was created and how it repositions tailings compliance.

Why GISTM Principle 11 should not be delegated to HR and how leadership, learning, and psychological safety transform tailings management.

From design to post-closure: see how Life of Mine connects to GISTM and why tailings management must be approached as a system across the entire life cycle.

Changes and impacts of ANM resolutions 95 and 175 on Brazilian mining.

Understand why water is central to tailings facility safety and how GISTM Principles 2, 5, and 6 translate into practice.

Protocol for the prevention of child and forced labor in mining.

Indicators for equitable, diverse, and inclusive workplaces in mining.

Indicators for crisis management and communications planning in mining.

KPIs for biodiversity management and conservation in sustainable mining.

Key indicators for climate change management in sustainable mining.

Indicators for sustainable water management in responsible mining.

Key indicators for tailings management in sustainable mining.

Indicators for safe, healthy, and respectful workplaces in mining.

Innovation, safety, and sustainability in Brazilian mining at GEOMIN 2025.

The Responsible Engineer (ER) is the most critical role in tailings governance. How GISTM reinforces the role, and where in practice it is being diluted, with recommendations for a truly empowered ER.

Breaking new ground: the future of mining unified under a single sustainability banner.

The 5 tailings review mechanisms of GISTM/ICMM.

GISTM and TSM in practice: scope, risk, assurance, and how to use each framework without rework. A guide for technical, ESG, audit, and leadership teams.

Data Riders delivers presentation on water governance at global event in Canada.

Tailings dams are living structures. The observational method, a classic geotechnical practice, becomes powerful once again when combined with continuous monitoring and AI-assisted analysis.

The Consolidated Mining Standard Initiative (CMSI) unifies TSM, ICMM Mining Principles, The Copper Mark, and the World Gold Council RGMPs into a single global benchmark. Complete guide: timeline (2023-2026), scope (24 Performance Areas / 48 subsections), governance across the 4 founding organizations, audit model, and what changes for mining companies.

Inundation maps, arrival times, breach hydrographs: dam breach physics is the foundation of reliable PAEBMs under GISTM.

TSM protocol for indigenous peoples and community relations in mining.

Data Riders presents an AI agent for smart water management in mining during Water Congress 2025.

Discover how our workshops are transforming the mining industry with practical knowledge and innovation.