Abstract Description: The adoption of Artificial Intelligence (AI) is rapidly transforming industries, yet its application in industrial settings remains limited. This presentation explores how AI and Large Language Models (LLMs) can revolutionize waste manifest management by automating data processing and identifying gaps, significantly enhancing compliance accuracy and reducing the risk of non-compliance penalties.
Traditionally, industrial facilities rely on paper manifests for waste tracking, requiring manual data entry and reconciliation with records from disposal sites—a process prone to errors and inefficiencies. By integrating AI into mobile applications, facilities can now process photos of manifests to extract, transmit, and verify data against disposal records, generator statuses, and facility benchmarks. This streamlines compliance workflows, reduces human error, and ensures real-time tracking, enabling facilities to proactively address discrepancies and mitigate risks.
This session highlights how Mapistry addresses these challenges in the cement, asphalt, and aggregates industries by leveraging cutting-edge AI and automation. Attendees will gain a foundational understanding of AI, LLMs, and image processing, along with insights into the use of tools like ChatGPT and other AI technologies. The presentation will delve into the challenges and successes experienced during implementation, detailing the integration of APIs, environmental compliance platforms, and data visualization tools. Finally, it will showcase how these technologies are seamlessly connected to create a comprehensive compliance solution that strengthens regulatory adherence and reduces operational risks for industrial facilities.
