The Analytics-Driven Organization: Making Real-Time Business Decisions with AI
Harvard Business Review Analytic Services report sponsored by Enova Decisions uncovers untapped business opportunities for AI.
Business investment in artificial intelligence (AI) is growing at unprecedented levels, backed by executives’ belief in the value of this emerging technology. But many companies currently aren’t realizing AI’s potential due to a range of technical and cultural gaps. However, a new report by Harvard Business Review Analytic Services shows businesses can overcome these hurdles and fully capitalize on their investment by applying AI to an overlooked area: real-time operational decisions.
“Operational decisions, not strategic decisions, represent a largely-untapped, high-potential opportunity for AI in businesses,” said Joe DeCosmo, Chief Analytics Officer for Enova International. “Many businesses are realizing that the rules engines they rely on to automate decisions cannot support machine learning. However, with the right technical support applied to specific operational tasks, like fraud detection and credit risk assessment, companies can consistently improve the customer experience, reduce operational costs and drive business growth.”
Applications for operational decisioning span across many sectors, from banking to healthcare. The report offers a three-step suggested process businesses can follow to fully realize the value from their AI investments.
