Cross-validation of predictive/prescriptive algorithm to make sure the insights are providing business value.
In this case study, Mosaic fine-tuned language models to analyze text and quantify public sentiment to explain commodity pricing with AI. Our team used sentiment model outputs to extract insights regarding price trends for a specific commodity and predict future price movements.
Mosaic Data Science will be participating in the upcoming American Health Law Association (AHLA) conference on “The Complexities of AI in Health Care.” The event aims to dissect the intricate relationship between AI technology and healthcare, focusing on the critical issue of algorithmic bias and fairness.
Mosaic Data Science has been recognized as the Top Insight Engines Solutions Provider of 2024 by CIO Review magazine for its Neural Search Engine framework. The Neural Search Engine has revolutionized how businesses comb through vast amounts of data, automating text, image, video, and audio information retrieval from all corporate documents and significantly enhancing efficiency and productivity.