Real-time decision making reflects the convergence of several digital technologies,including those conced with the promulgation of artificial intelligence and other advanced technologies that underpin real-time actions.More specifically,real-time decision making can be depicted in terms of three converging dimensions: Intet of Things,decision making,and real-time.The Intet of Things include tangible goods,intangible services,ServGoods,and connected ServGoods.Decision making includes model-based analytics (since before 1990),information-based Big Data (since 1990),and training-based artificial intelligence (since 2000),and it is bolstered by the evolving real-time technologies of sensing (i.e.,capturing streaming data),processing (i.e.,applying real-time analytics),reacting (i.e.,making decisions in real-time),and leaming (i.e.,employing deep neural networks).Real-time includes mobile networks,autonomous vehicles,and artificial general intelligence.Central to decision making,especially real-time decision making,is the ServGood concept,which the author introduced in an earlier paper (2012).It is a physical product or good encased by a services layer that renders the good more adaptable and smarter for a specific purpose or use.Addition of another communication sensors layer could further enhance its smartness and adaptiveness.Such connected ServGoods constitute a solid foundation for the advanced products of tomorrow which can further display their growing intelligence through real-time decisions.