Futurus Group, an affiliate of Gobel Enterprises and a full-service consulting firm focused on artificial intelligence, today announced that it is seeking a patent for its proprietary gratitude prediction machine learning model.
G2G (Gratitude to Give), Futurus’ flagship product, currently utilizes this patent-pending algorithm and is the first artificially intelligent product on the market focused on predicting gratitude specifically in a healthcare environment. Early results have revealed promising insights. One client using G2G prioritized a list of 500 high-gratitude patients and 500 high-wealth patients. Forty-seven percent of the high-gratitude patients became donors, surpassing the ten percent of high-wealth patients who did.
“We conceptualized this idea a few years ago,” said Chad Gobel, CEO and founder of Gobel Group. “We felt that the way philanthropic organizations were finding prospects was incomplete, and we wanted to develop an algorithm that could dramatically improve the methodology. We’re so excited to see such great preliminary results, and the filing of the patent is an exciting milestone for us.”
This patent-pending technology is the first and only artificially intelligent algorithm that accurately predicts gratitude. It involves the use of various machine learning models in order to generate a gratitude score that characterizes the likelihood that patients will make a donation to the healthcare organization in the future.
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