Manufacturing quality audits are pivotal for ensuring high product standards in mass production environments. Traditional auditing processes, however, are labor-intensive and heavily reliant on human expertise, posing challenges in maintaining transparency, accountability, and continuous improvement across complex global supply chains. To address these challenges, we propose a smart audit system empowered by large language models (LLMs). Our approach introduces three key innovations: a dynamic risk assessment model that streamlines audit procedures and optimizes resource allocation; a…
The Next Generation of Audit Logging at PalantirEvery day, organizations entrust Palantir platforms with their most sensitive data and critical operations. From government agencies coordinating national security missions to healthcare providers safeguarding patient information to financial institutions detecting fraud, our customers depend on us to help them make decisions that matter.…
The move towards monitoring HR tools and applications for bias is gaining traction worldwide, driven by various global and domestic data privacy laws and the US Equal Employment Opportunity Commission (EEOC). In line with this trend, the New York City Council has enacted new regulations requiring organizations to conduct yearly…