Senior executives across various industries are increasing their investments in data and analytics in an effort to improve decision making through artificial intelligence (AI).
However, according to a 2019 report by the International Institute for Analytics, few companies “have truly deployed AI at enterprise scale.”
In order to better understand what’s preventing the midmarket from getting AI investments off the ground, Enova Decisions sponsored Harvard Review Analytic Services to survey over 300 senior executives. This report identifies what use cases may benefit most from artificial intelligence, examines the technical and cultural challenges preventing businesses from fully capitalizing on AI investments, and provides best practices to implementing AI into business applications.
By focusing AI investments on “discrete, operational tasks, including identity verification, fraud detection, and credit risk assessment,” says Joe DeCosmo, Chief Analytics Officer at Enova International, “we have been able to consistently improve the customer experience, reduce operational costs, and drive business growth for our online, consumer, and small-business lending brands worldwide.”
Learn other best practices now when you download the report.