Arturo appoints AI scientist as VP of AI to support P&C growth
Arturo, an AI-powered platform that derives property insights and predictive analytics from aerial and satellite imagery, has added an AI scientist to the team as vice president of artificial intelligence.
Based in New Mexico, Daniela Moody will focus on data quality assurance, team optimization, technical product mapping, and building out new machine learning and data fusion applications for Arturo.
“Daniela will be critical to our growth in property and casualty insurance and beyond. She brings an incredibly diverse perspective on how to use geospatial information, imagery and weather data to solve problems that people and their businesses struggle with every day,” said Arturo chief technology officer Benjamin Tuttle. “Her diverse background will allow us to start to implement more unconventional data sources to refine the accuracy of our property insights for our clients.”
Prior to Arturo, Moody worked at the Los Alamos National Laboratory on developing data-adaptive algorithms for signal and image processing, feature extraction, classification, and data exploitation across a variety of applications and sensor data, including on-orbit RF, ground RF, multispectral imagery, astrophysics, RGB images and video.
She also worked as a staff scientist with Descartes Labs to monitor and report on weather and human food crop health across the Middle East and North Africa to develop an early warning system for impending food shortages. Most recently, Moody served as chief technology officer at Ursa Space Systems developing synthetic aperture radar (SAR) analytics.
“Arturo is a company that I’ve been following since inception and I admire the progress they have made in the insurance, geospatial and computer vision industries,” said Moody. “The tangible value that Arturo’s technology brings to insurance is quickly being realized by the industry and its investors. In my new role, I plan to help Arturo both develop enhanced product capability and business insights by bringing in new data sources and realize the full spectrum of applications for its data in other verticals – such as portfolio management, commodities and commercial reinsurance, and lending — all while building on the team’s tenacious pursuit of innovation in the insurance sector.”
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