by James Taylor | May 1, 2019 | Business Intelligence, Business Re-Design, Decision Management, Decision Modeling, Digital Business, Insurance, Strategy
In February, we published a blog post on “Using Technology to Add Value in Insurance”. That post, referenced Matt Josefowticz’s article – Technology May be the Answer for Insurers, but What Was the Question?, in which he states that there are only three levers of...
by James Taylor | Apr 15, 2019 | Business Intelligence, Decision Management, Digital Business, Insurance, Predictive Analytics
In February, we published a blog post on “Using Technology to Add Value in Insurance.” In that post, I referenced Matt Josefowticz’s recent article – Technology May be the Answer for Insurers, but What Was the Question?, in which he argues that there are only three...
by James Taylor | Apr 2, 2019 | AI, Business Intelligence, Decision Management, Machine Learning, Predictive Analytics, Strategy
Many speakers on predictive analytics, machine learning (ML) and AI talk about the need to allow data science teams to fail. Without failure, without a willingness to fail sometimes, it’s very hard to build a successful data science program. This is true and often a...
by James Taylor | Mar 25, 2019 | AI, Business Intelligence, Business Re-Design, Business Rules, Decision Management, Insurance, Predictive Analytics
Nancy Casbarro and Deb Zawisa of Novarico recently published a new paper on Data Science in Insurance: Expansion and Key Issues subscription required) that was summarized in this nice little article on Dig-in 3 challenges facing insurers in data science...
by James Taylor | Mar 11, 2019 | Decision Management
February 20th, 2019 W. Roy Schulte, Research Vice President and Distinguished Analyst at Gartner gave an interesting webinar titled, “Decision Management: What It Is and Why You Need It.” Roy kicked off the webinar by stating that “companies make millions of...
by James Taylor | Mar 4, 2019 | Decision Management
Machine learning is the scientific study of algorithms and statistical models that computer systems use to effectively perform a specific task without using explicit instructions, relying on models and inference instead. It is seen as a subset of artificial...
