Rajive Ganguli, a professor at the University of Utah, believes that the current era should be defined as the age of data rather than the age of information. Many individuals are overwhelmed or misguided by the vast amount of data they collect, preventing them from truly benefiting from it. However, the potential for data-driven insights remains promising. To address this, Ganguli is launching Uteanalytics, a free analytics software that aims to make artificial intelligence (AI) and machine learning (ML) accessible to all.

UteAnalytics is designed to empower domain experts by enabling them to clean their data and conduct exploratory data analysis in various ways. The software also allows users to estimate the impact of each input on the output and develop models to predict outcomes on new datasets. It is problem-agnostic, making it suitable for a wide range of applications such as mining, atmospheric sciences, air quality, and COVID-19 research.

Several subject matter experts from various fields, including social science, business, and engineering, have already subscribed to receive the software prior to its formal release. Ganguli emphasizes that UteAnalytics is user-friendly and does not require coding skills, making it accessible to non-coders and professionals from different domains.

One early adopter of UteAnalytics is Daniel Mendoza, a researcher focused on air quality. Mendoza has successfully collected over eight years of data on particulate matter, ozone levels, and nitrogen oxides. He praises UteAnalytics for streamlining data analysis and interpretation, saving time without compromising reliability. Through the software, Mendoza has been able to uncover social justice impacts related to air quality, as well as gain insights from temperature data collected in real-time from mobile and stationary sensors.

UteAnalytics is the latest achievement of Ganguli, who has led multiple projects totaling approximately $13 million in funding. The software is expected to have a significant impact on various research efforts, both at the University of Utah and internationally. Graduate student Lewis Oduro played a key role in developing UteAnalytics, and his work under Ganguli’s mentorship has been integral to its success.

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