In this session, Evident will examine how digital tools are reshaping geochemical X-ray fluorescence (XRF) workflows. Application programming interfaces (APIs), scripting environments, and artificial intelligence (AI) are changing how geochemical XRF data is processed, analyzed, and integrated into decision-making frameworks. The Vanta™ XRF analyzer and the Vanta XRF™ API enable real-time monitoring and access to process-control data, supporting automated workflows and seamless communication with external software platforms. Python scripting further facilitates custom pipelines for batch processing, quality control, and statistical evaluation. AI and machine-learning models can refine interpretation of Vanta XRF analyzer results by predicting geochemical parameters, correcting for matrix effects, identifying anomalous mineralization, and deriving properties that extend beyond standard elemental analysis. Together, these digital capabilities can enhance data accuracy, reduce manual effort, and accelerate decision-making in mining and research environments.
1 p.m. - 1:15 p.m.
Evident Scientific, Inc. - Advancing Geochemical XRF Workflows Through Digital Integration
Presenter(s): Edgardo Jimenez
In this session, Evident will examine how digital tools are reshaping geochemical X-ray fluorescence (XRF) workflows. Application programming interfaces (APIs), scripting environments, and artificial intelligence (AI) are changing how geochemical XRF data is processed, analyzed, and integrated into decision-making frameworks. The Vanta™ XRF analyzer and the Vanta XRF™ API enable real-time monitoring and access to process-control data, supporting automated workflows and seamless communication with external software platforms. Python scripting further facilitates custom pipelines for batch processing, quality control, and statistical evaluation. AI and machine-learning models can refine interpretation of Vanta XRF analyzer results by predicting geochemical parameters, correcting for matrix effects, identifying anomalous mineralization, and deriving properties that extend beyond standard elemental analysis. Together, these digital capabilities can enhance data accuracy, reduce manual effort, and accelerate decision-making in mining and research environments.