AI Scientists to Lead Applied Machine Learning, Quality Assurance and Technical Product Mapping
CHICAGO – March 31, 2021 – Arturo, an AI-powered platform that derives property insights and predictive analytics from aerial and satellite imagery, announced the addition of AI scientist Daniela Moody to the team as vice president of artificial intelligence. Based in New Mexico, 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 everyday,” 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 develop enhanced product capability and business insights by bringing in new data sources; realize the full spectrum of applications for its data in other verticals – such as portfolio management, commodities and commercial reinsurance, and lending, while building on the team’s tenacious pursuit of innovation in the insurance sector. ”
Arturo is a deep learning spin-out from American Family Insurance relentlessly committed to delivering highly accurate physical property characteristic data and predictive analysis for residential and commercial properties for use in the Property & Casualty (P&C) Insurance, Reinsurance, Lending, and Securities markets.
Leveraging the latest satellite, aerial, and ground-level imagery, as well as unique proprietary data sources, Arturo’s deep learning models provide differentiated property data unparalleled by any other provider – often in as little as 5 seconds. To learn more about Arturo, Inc., visit: www.arturo.ai or follow on Twitter @arturo_ai.
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