The Emerald Company

The global asset market is massive, spanning real estate ($330T), bonds ($300T), equities ($115T), and money markets ($120T). Yet, despite its size, only $185 billion (0.02%) of total assets are currently tokenized. This highlights a significant inefficiency in how these markets operate. Traditional finance still relies on outdated processes, leading to high costs, slow transactions, and limited accessibility. The current market structure depends on intermediaries such as: ?? 40,000+ banks ?? 80,000+ asset management firms ?? 500,000+ real estate companies ?? 1,000,000+ financial intermediaries However, Blockchain technology is transforming asset markets by enabling faster, cheaper, and more accessible trading through tokenization. Key Benefits of Blockchain in Asset Markets: ? Cost Reduction – Up to 90% lower operating costs by eliminating intermediaries. ? Faster Settlement – Instant transactions (T+0) compared to traditional T+2/3 settlements. ? 24/7 Market Access – Unlike traditional exchanges, blockchain enables round-the-clock trading. ? Automation – Smart contracts replace manual processes, reducing human errors and inefficiencies. As traditional markets struggle with inefficiencies, blockchain-based solutions are becoming the clear alternative. With only 0.02% of global assets currently tokenized, the opportunity is enormous. The question is no longer "if" but "when" the world will fully transition to blockchain. ??Join us in this movement! https://lnkd.in/d33Wb3U5?

LiDAR, often called the "3D Eye," is a game-changing technology that uses laser light to create detailed 3D maps of environments. In mining, Lidar provides precise 3D maps of sites, enabling better planning and resource estimation while improving safety by identifying hazards like unstable terrain. When combined with blockchain, Lidar data creates an immutable record of each emerald’s journey—from extraction to processing—offering customers full transparency into its ethical sourcing.? By integrating LiDAR with blockchain, Emerald not only enhances operational efficiency but also strengthens its brand as a leader in ethical and sustainable practices. This combination allows the company to meet the growing expectations of modern consumers who prioritize transparency and responsibility in the products they purchase. ?Precision and Accuracy: LiDAR creates highly detailed 3D maps of environments, enabling precise measurements and planning. This is especially valuable in mining for accurate resource estimation and efficient site management. ?Enhanced Safety: By identifying potential hazards such as unstable terrain or changes in the landscape, LiDAR helps prevent accidents and ensures safer working conditions in challenging environments. ?Transparency and Accountability: When combined with blockchain, LiDAR provides verifiable, tamper-proof data about processes like mining and supply chain movements, ensuring transparency and building trust with customers and stakeholders. Stay updated with Emerald’s next steps to learn more. Join us! https://www.emeraldco.io/?

The process of creating a system to help mining operations, by using artificial intelligence (AI) has as the main idea to build a smart, user-friendly system that can gather data, train AI to make predictions, and then continuously improve based on feedback. It’s all about using technology to make mining smarter, more efficient, and safer. Here’s how it works: ??Collecting and Storing Data: Gather information from different sources, like sensors or what miners report. Make sure this information is safe and trustworthy so the system can use it correctly. ??Training the AI: Use strong computers to teach the AI how to make smart guesses, like finding places where emeralds might be located. ??Updating the System: Create a process that automatically improves the AI whenever needed, so it stays up-to-date and works well without extra effort. ??Easy-to-Use Apps: Create simple apps or dashboards for miners and geologists to use. These will show the AI's predictions and send alerts when new emerald deposits are found. By creating a system that gathers reliable information, teaches itself to make smarter predictions, and updates automatically, we can make mining more efficient. With easy-to-use tools for miners and geologists, everyone can work together to discover emerald deposits more effectively and quickly. This approach helps ensure the mining process is smarter, safer, and more productive for everyone involved. ?? Feel free to join and learn more about Emerald methods! https://lnkd.in/d33Wb3U5?

?? Continuous learning is essential for keeping AI systems relevant and effective over time. As new data comes in, it's crucial that these systems can adapt to changes, like the discovery of new emerald deposits or mining methods. By using feedback from the field, AI models can adjust to reflect these changes, ensuring they always work as intended. And with emeralds’ discovery is not different. This process involves regularly updating the AI with fresh information. The system learns from its experiences, like both successful and unsuccessful mining attempts, as well as insights from miners themselves. In this way, the model grows more accurate and better suited to handle evolving challenges. Rather than starting over from scratch every time, AI can also learn in small increments. This means that as new data is collected, the model updates without losing what it already knows. This approach allows the system to become more capable over time, all while remaining responsive to current conditions. To ensure the model is still working well, performance is continuously monitored. Key metrics, such as accuracy and precision, help assess how well the system is doing in real-world conditions. If any issues are found, adjustments can be made to improve the model’s effectiveness. Lastly, continuously adding new data to the model’s training helps it better generalize and adapt to a variety of situations. This ongoing process of learning and adapting helps create a more powerful and reliable tool for the mining industry, ensuring the system’s performance stays sharp and relevant. Keep updated on Emerald’s Practices and Advanced Methods in Mining. Join us! https://lnkd.in/d33Wb3U5?

?? When it comes to solving complex problems like detecting emeralds, relying on just one AI model often isn’t enough. Every model has its strengths and weaknesses, and using only one can leave gaps in accuracy or reliability. That’s why combining the predictions of multiple models is such a powerful approach. One way to combine models is through model stacking . Think of it as having a team of experts working together. Each model does its part by analyzing different types of data, like images or numbers, and then a “leader” model takes their outputs and figures out the best way to combine them. This allows the system to take advantage of each model’s strengths and produce a more accurate result. Another method is called voting. Imagine a group of models “voting” on the best answer. Each model gives its prediction, and the final decision is based on what most of them agree on. This approach is great for making sure the system doesn’t rely too heavily on any one model. If one makes a mistake, the others can help correct it, leading to more reliable results. You can also use weighted averaging , which is like giving more importance to the models that perform better in certain areas. For example, if one model is really good at analyzing scans of the ground, it might get more weight when processing image data. Similarly, another model that excels at spotting trends in chemical data might be prioritized for that task. By assigning higher importance to the best-performing models, this method ensures the final prediction is both accurate and tailored to the specific type of data being analyzed. Combining models isn’t just about improving accuracy—it’s about creating a system that’s more adaptable and trustworthy. When multiple models work together, they can handle a wider variety of challenges and reduce the chances of errors. This is especially important in tasks like emerald detection, where precision and reliability are key. By blending the strengths of different models, we can build AI systems that are not only smarter but also more capable of handling real-world complexities. Whether it’s through stacking, voting, or weighted averaging, these techniques allow us to make the most of AI’s potential. You can explore more of Emerald methods through our other socials. Find out! ???? https://lnkd.in/ddTWerTa?

Selecting and training the right AI models is crucial for accurate emerald detection. The first step is choosing models suited to the type of data. For image data, like lidar and GPR scans, convolutional neural networks (CNNs) excel at capturing spatial features and identifying patterns in complex geological imagery. For structured data, such as geological and chemical datasets, ensemble methods like random forests and gradient boosting are effective at analyzing various features and making reliable predictions about emerald formation. Once models are selected, training them with historical data is essential. This requires a balanced dataset of successful and unsuccessful emerald detections, enabling the model to learn both positive and negative patterns. Cross-validation ensures the model generalizes well and avoids overfitting, ensuring its predictions remain accurate when faced with new data. After training, the next step is hyperparameter tuning to optimize model performance. This involves adjusting settings such as the learning rate, number of layers, or tree count to balance accuracy and computational efficiency. Finally, models are evaluated using metrics like accuracy, precision, recall, and F1-score to assess their performance. These metrics highlight how well the model detects emerald deposits while minimizing errors. Regular evaluations and feedback ensure continuous improvement, with retraining as new data is collected. By selecting, training, and fine-tuning the right AI models, emerald detection becomes more accurate and efficient. This approach empowers mining companies with valuable insights, helping them make informed decisions and manage resources more effectively in the search for emeralds. This approach is one of many that Emerald is using to reduce environmental impact. To learn more about our methods, visit ?? https://lnkd.in/ddTWerTa.

Feature engineering transforms raw, often complex data into patterns that machine learning models can understand. By extracting key features like subsurface structures, combining datasets to create powerful composite indicators, and simplifying data through techniques like dimensionality reduction, we can uncover the subtle clues that point to emerald deposits. In this carousel, we’ll break down four essential aspects of feature engineering and explore how they work together to revolutionize emerald exploration. Let’s embark on this journey from data to discovery and don’t forget to join us for more! t.me/TheEmeraldCompany

Emerald mining is a deeply specialized field that requires both technical knowledge and local expertise. In regions like Colombia, miners accumulate decades of experience, learning to identify geological signs, understand mining conditions, and develop successful strategies. However, translating this valuable, in-person knowledge into actionable data for AI models can be challenging due to language barriers, complex terminology, and the need for contextual understanding. The first step is to gather data directly from the miners who possess this critical knowledge. Structured interviews are essential to ensure that the right questions are asked. This includes focusing on topics like geological indicators, successful mining techniques, and local mining conditions. Surveys are another effective tool for gathering data from a larger group of miners. Detailed questionnaires can be distributed to gather insights into geological patterns, environmental influences, and historical mining success. Since most miners speak Spanish, accurate translation and transcription are critical to preserving the integrity of the data. Professional translators with expertise in both the Spanish language and the technical language of emerald mining are necessary to ensure that interview and survey responses are accurately translated. Once the data is translated and transcribed, it needs to be organized in a way that is suitable for machine learning and AI analysis. The translated data should be organized into categories such as geological signs, mining techniques, environmental factors, and successful mining strategies. Storing the structured data in a centralized database makes it accessible for feature engineering, model training, and decision-making. Information like the miner’s name, experience, and location can help contextualize the insights. Cross-referencing the collected data with existing geological and mining records is key for identifying patterns and correlations. The dataset can be further augmented with academic research, industry reports, and historical records to provide a comprehensive understanding. The experience and knowledge of emerald miners are invaluable assets that can significantly improve mining operations. By transforming this knowledge into structured, usable data for AI, we not only preserve traditional mining wisdom but also enhance the future of the industry. The next step is ensuring that the technology used to process this data is as sophisticated and informed as the miners themselves. Join to learn more about our methods and EMERALD from the inside.?? t.me/TheEmeraldCompany?

It is the first time in this industry that Artificial Intelligence is being used as a tool to help find emeralds. At Emerald, we want our community to see and experience the most transparent approach ever. By incorporating AI, we can manage the algorithm to identify patterns in rocks, soils, chemical analysis and satellite images to accurately pinpoint emerald deposits, with non-invasive methods needed. All sustainable and transparent tools. The information that AI collects is turned into Data to measure geological and topographical history and to provide us with material and resources to start the mining process, not wasting resources and not harming the environment. Environmental data, such as climate and ecological conditions, is also processed by AI to determine how natural factors might influence emerald formation and preservation. By understanding these conditions, AI can help forecast potential challenges and opportunities in the mining process, ensuring that emerald extraction is not only precise but also environmentally responsible. Through AI, the Emerald Approach is transforming how we explore, extract and deliver emeralds, making the entire process smarter, safer, and more sustainable. Discover more about Emerald. ? https://lnkd.in/ddTWerTa

Blockchain is a game-changer in the emerald industry because it ensures complete transparency and traceability. Every emerald can be tracked from mine to market, verifying its authenticity and ethical sourcing. This eliminates fraud, guarantees fair practices, and builds trust with consumers. By securely recording transactions, blockchain also creates a tamper-proof system for ownership and provenance, offering peace of mind to both buyers and sellers. In an industry traditionally with opaque practices, blockchain brings clarity and security like never before. Explore our methods. ?? https://www.emeraldco.io/?