by James Taylor | Sep 5, 2019 | AI, Decision Management, Decision Modeling
A great article appeared in Information Age recently based on an interview with Tom Davenport If you want to see the benefits of AI, forget moonshots and think boring. In it, Tom argues that “if enterprises ever want to see the benefits of AI, they must embrace the...
by James Taylor | Sep 5, 2019 | AI, Decision Management, Insurance
McKinsey recently reported that “Most carriers are struggling to meet their cost of capital, and productivity has barely moved over the past decade” and that “The insurance industry is facing a serious structural challenge … the majority of...
by James Taylor | Aug 8, 2019 | Business Intelligence, Decision Management, Machine Learning
Trust is a big deal when it comes to machine learning. “Black box” algorithms, concerns about bias and a sense that data scientists may know everything about the data but nothing about the business all undermine trust in machine learning models. Indeed, building...
by James Taylor | Aug 6, 2019 | Decision Management
I’m in Asia for two weeks. Last week I had the privilege of catching up with marketing and operations leaders at a major local insurer. We built both a next best offer (NBO) solution and a claims handling solution for them. Both teams are self-sufficient, with...
by James Taylor | Jun 25, 2019 | Decision Management
I presented on Backwards Engineering – planning Machine Learning (ML) deployment in reverse. Data shows that a traditional data-first approach to analytics is not generating much value for companies and I urged the audience instead to adopt a decisions-first mindset....
by James Taylor | May 7, 2019 | AI, Business Intelligence, Business Re-Design, Decision Management, Digital Business
Cathy O’Neill wrote an interesting piece on regulating automated decision making recently. I am not going to argue about whether use of algorithms should or should not be regulated because I think it is inevitable that they will be. The question is how companies...
