How can banks and credit unions thrive in an environment of increased competition, especially from non-traditional sources? Use predictive analytics -- a key weapon competitors wield -- to drive operational efficiencies and strengthen client relationships.
[ Analytics: The game changer for bank and credit union leaders | 2019-04-12 ]
Owen Sizemore, a lead data scientist at Epic, gave a presentation on machine learning in healthcare. Sizemore was an assistant professor of mathematics at University of Wisconsin?Madison before joining the Epic team. He has a bachelor?s degree in Mathematics from University of California-Berkeley and a PhD in Mathematics from University of California-Los Angeles. Sizemore introduced...
The 2019 NCAA Tournament isn?t over but we?re down to the Final Four and the three most popular picks to win the national championship, according to ESPN?s Tournament Challenge, have been eliminated. Here?s a look at the teams that had the best and worst ?value? in bracket challenge games, meaning the difference between a team?s [?]
This is a contrast between AMN Healthcare Services Inc. (NYSE:AMN) and China Advanced Construction Materials Group Inc. (NASDAQ:CADC) based on their dividends, analyst recommendations, profitability, institutional ownership, risk, earnings and valuation. The two companies are General Building Materials and they also compete with each other. Earnings & Valuation Gross RevenuePrice/Sales RatioNet IncomeEarnings Per SharePrice/Earnings Ratio AMN Healthcare Services Inc.2.14B1.03141.74M2.9116.58 China Advanced Construction Materials Group Inc.45.03M0.365.34M-1.520.00 Table 1 highlights AMN Healthcare Services Inc. and China Advanced Construction Materials Group Inc.'s top-line revenue, earnings per share (EPS) and valuation. Profitability Table 2 represents AMN Healthcare Services Inc. (NYSE:AMN) and China Advanced Construction Materials Group Inc. (NASDAQ:CADC)'s net margins, return on assets and return on equity. Net MarginsReturn on EquityReturn on Assets AMN Healthcare Services Inc
In a study of over half a million people between the ages of 40 and 69, University of Nottingham data scientists and doctors have developed and tested an AI system that they say can predict the risk of early death due to chronic disease.
Computers which are capable of teaching themselves to predict premature death could greatly improve preventative healthcare in the future, suggests a new study by experts at the University of Nottingham.