Today’s businesses are heavily digitized and must be structured so that while interacting through digital channels, the value gained from customer experience between humans and digital touchpoints can be handled seamlessly and effectively. As a result, the line between business and technology is gradually blurring. In addition, most organizations still face many challenges with the agility, flexibility, and customer-driven focus of business systems and processes needed to support new digital business models.
By fusing business and technology in the digital age, the automation of digitized decision making or Digital Decisioning integrates analysis methods that go beyond data-driven to integrate data with predictive analytics and support for AI applications. The approach in the book is described to be easily understandable for business professionals with examples.
As one of those who have worked in the field of rule-based AI for many years, James Taylor’s approach includes easy-to-understand, rule-based AI, integration with analysis methods, sophistication added by machine learning AI, and a continuous improvement loop. Please read it and use it as a reference book for system planning, development, and use.
eBook available at: http://www.contendo.jp/dd
Download the book summary flyer in Japanese here.
Japanese Translation:
現行のビジネスはかなりデジタル化され、デジタルチャネルを介して対話する一方で、人間とデジタルのタッチポイント間の顧客経験で得た価値を、途切れなくしかも上手いやり取りで対応ができるような仕組みにしなければならないために、ビジネスとテクノロジーの境界が徐々に曖昧になってきています。さらに、ほとんどの組織は、新しいデジタルビジネスモデルをサポートするために必要な俊敏性、柔軟性および顧客主導に焦点を合わせた業務システムとプロセスの課題に、未だ多くの問題を抱えています。
デジタル時代のビジネスとテクノロジーの融合で、
このルールベースAIの分野で長年働いてきた仲間の一人として、
監修：細川泰秀 訳：酒匂秀敏，津島靖彦