New digital process intelligence solutions, based on artificial intelligence (AI) and Industrial Internet of Things (IIoT) open platforms can help them achieve both sustainable processes and higher operational effectiveness. ... This is particularly true in the Mining industry and leaders are redefining their strategic objectives and priorities ...Web

Infosys NIA. Nia is an AI platform developed by Infosys to help mining companies. Nia takes diverse types of data coming from different sources in order to improve the mining process. For example, Nia analyzes geological, topography, geo-mechanical, engineering, and mineralogy data. Thanks to Nia, each stage of the mining …Web

Through process mining, your organization can digitize process intelligence and gain transparency with actionable insights. With potentially millions of transactions processed …Web

Mine planning and manpower deployment were the least resilient— and hardest to adapt—amid changes in market dynamics. In addition, beneficiation plant decisions …Web

Smart sorting is already applied in the mining industry for minerals and ores, and artificial intelligence algorithms powered by color sensors and X-ray data are improving the quality and quantity of, for …Web

The rise of process mining has opened a new frontier of software combination and collaboration. Enterprise software giants like Microsoft, SAP, and IBM are buying process-mining startups to add to their intelligent process automation capabilities. Beyond the giants, there are companies, big and small, joining the process mining …Web

By combining robotics, intelligence, and autonomous systems, the mining industry is able to broaden the range of tasks and processes that can be automated, transforming the whole spectrum of emerging technologies. …Web

Invitalia teamed up with Tibco to use its process mining technology and connected intelligence platform for analytics. According to Invitalia's chief data and analytics officer, Mario Ettorre ...Web

In the last few years, jargon, such as machine learning (ML) and artificial intelligence (AI), have been ubiquitous in both popular science media as well as the academic literature. Many industries have tried the current suite of ML and AI algorithms with various degrees of success. Mineral processing, as an industry, is looking at AI for …Web

In the pursuit of solutions, AI and machine learning (ML) are emerging as transformative forces in the mining sector. They hold the potential to revolutionize mining efficiency and safety and foster sustainable mining practices. By integrating AI and ML with earth observation imagery analysis, we can generate valuable geospatial intelligence ...Web

Process mining is the technology at the heart of the Celonis Platform, enabling enterprises to fully understand how their core business processes run and find the hidden value opportunities, before taking intelligent, automated action to improve performance and unlock hundreds of millions across the enterprise.Web

Digitize your business performance through process mining. With today's increasingly complex systems driving business performance, gaining process transparency and insight into operational inefficiencies has proven difficult. Through process mining, your organization can digitize process intelligence and gain transparency with actionable ...Web

Innovation plays a critical role in the mining industry as a tool to improve the efficiency of its processes, to reduce costs, but also to meet the increasing social and environmental concerns among communities and authorities. Technological progress has also been crucial to allow the exploitation of new deposits in more complex scenarios: …Web

The global Process Mining Software Market was valued USD 610.5 Million in 2021 and is all set to surpass USD 6600.1 Million by 2028, exhibiting a CAGR of 48.7% during the forecast period 2022-2028 ...Web

Artificial Intelligence (AI) solutions have established a strong record of unlocking value across a range of sectors, but continuous process industries such as mining, oil and gas production, and chemical manufacturing have been slower to embrace the technology. The good news is that the relative lack of adoption means AI still offers ...Web

This article aims to characterize the innovation environment in the mining industry, specifically: Importance of innovation for the mining industry: relation …Web

Machine learning is a subcategory of artificial intelligence, which aims to make computers capable of solving complex problems without being explicitly programmed. Availability of large datasets, development of effective algorithms, and access to the powerful computers have resulted in the unprecedented success of machine learning in …Web

Throughout the entire life cycle of mining, from exploration to reclamation and closure, artificial intelligence (AI) can be implemented in various stages, such as exploration, planning, mobile ...Web

The deep-level mining industry is experiencing narrowing profit margins due to increasing operating costs and decreasing production. The industry is known for its lack of dynamic control across complex integrated systems running deep underground, making IoT technologies difficult to implement. An important integrated system in a typical …Web

Artificial Intelligence (AI) solutions have established a strong record of unlocking value across a range of sectors, but continuous process industries such as …Web

AI is already being used across a wide range of industry verticals, and the addition of process mining technology (and process intelligence), will make virtually every use case more effective. According to respondents to the recent KPMG Generative AI Survey, March 2023, 83 percent said their finance and accounting functions were …Web

Summary. There have long been a few fundamental challenges associated with business process management. But a relatively new and innovative technology, process mining, has the capability to ...Web

In this study digitalization in the mining industry is considered as a process of adopting technologies, digital devices, methods, systems, digitized data, and advanced analytics in an ... artificial intelligence and advanced analytics, mobile computing, wearable technology, internet of things, and autonomous and near-autonomous vehicles [10 ...Web

Pyze is the leading Digital Transformation analytics platform to maximize process efficiency and application productivity through low-code process mining and usage analytics. Pyze auto-discovers ...Web

Its Process Intelligence platform uses industry-leading process mining technology and AI to present companies with a living digital twin of their end-to-end processes. For the first time, everyone in an organization has a common language for how the business runs, visibility into where value is hiding, and the ability to capture it.Web

Moreover, this method simultaneously collects ore and waste rock, which greatly increases the amount of waste rock being lifted in the mine and the workload of mineral processing. To improve the automaticity, precision, and efficiency of the mining process in deep mines, precise-cutting mining methods should be studied. 4.1.1.Web

Deep learning is a sub-field of artificial intelligence that combines feature engineering and classification in one method. It is a data-driven technique that optimises a predictive model via learning from a large dataset. Digitisation in industry has included acquisition and storage of a variety of large datasets for interpretation and decision …Web

Artificial intelligence shifts raw materials mining from a people-oriented operation to a process-oriented one, which is critical to ensure appropriate health and safety conditions for the mineworkers, a …Web

As the technology has improved, ABPD has been replaced with the term Process Mining (a mashup of data mining and business process), and more recently as Process Intelligence (a mashup of business intelligence and business process). This is a good evolution, but we think it hasn't finished yet. We at Arkturus firmly believe that the future of ...Web

Whether in the United States or elsewhere, regardless of industry—from retail to healthcare—Process Intelligence is less a luxury and more a necessity. It's the backbone that supports customer satisfaction initiatives, provides a roadmap for process improvement, and offers actionable steps to transform manual methods into a seamless ...Web

AI is becoming a powerful tool for analyzing data of all kinds in the mining industry. Most industries use machine learning and artificial intelligence to analyze their data in operations, ranging ...Web