predictive analytics

Claim Complexity

FREE Online Decision Requirements Modeling Training

If you’re stuck sheltering in place or bored working from home, we have a great opportunity for you. You can learn a vital new skill – Decision Requirements Modeling – from the comfort of your home FOR FREE! This has been completed. Please contact us if you are interested in decision requirements modeling. We are […]

Getting The Claims Outcomes You Want With ML/AI and Digital Decisioning

Neal Silbert of DataRobot had an interesting post on the DataRobot blog last week – Outcome-Based Claims Assignment: The “New Grail” of Insurance. He talks about using ML and AI to improve the assignment of claims adjusters to commercial claims. As he says “why make exceptions [to ensure the best assignment] when you can make […]

Driving Business Value from Advanced Analytics, Machine Learning and AI: New Webinar on Digital Decisioning

The International Institute for Analytics (I’m a faculty member) recently hosted me for a webinar on Digital Decisioning: Driving Business Value from Advanced Analytics, Machine Learning and AI. In the webinar I discussed the opportunities and challenges of Machine Learning (ML) and Artificial Intelligence (AI), introduced Digital Decisioning – it’s value, principles and how to […]

Fraud, AI and Digital Decisioning

Automating decisions about transactions lets them be handled in real-time, providing better customer service. If that decision fails to detect fraudulent transactions, this lets fraud into the system. Once a fraudulent transaction has been allowed, you are committed to a “pay and chase” approach to eliminating it. This has a poor success rate. Much better […]

What is an Acceptable Analytic Failure?

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 barrier for companies that find it hard to accept that not all analytics initiatives succeed.

This Week at Think 2019: Delivering Excellent Customer Experiences with Analytics and Automation

Think 2019 is here! Sharpen your skills. Get hands-on experience with the latest technology. Extend your professional network. It’s virtually impossible not to learn something new among this celebrated community of technologists and thought leaders. And have some fun while you’re at it. Explore the technologies that are redefining industries, learn from the experts, and get […]

International Institute for Analytics 2019 Predictions – Some Thoughts

Several of this year’s International Institute for Analytics predictions point towards a DecisionsFirst decision management approach.

DecisionsFirst Analytics in Forbes

Joe Decosmo, CAO of Enova Decisions and someone we know from our work at the International Institute for Analytics wrote a nice piece in Forbes today – Why You Should Take A Decision-First Approach To Analytics. Joe makes some great points in his post and leads off with a shout out to the Decision Management Manifesto. Like […]

Don’t bite off more AI than you can trust

Many, most, companies are actively considering using AI in their business, but few are making much progress. Some of this is due to a poorly defined approach. Some is due to confusion as to what AI means – mixing conversational AI (a user experience technology) with decision-making AI (an extension of predictive analytics and machine […]

Personalizing Insurance Marketing with Decision Management

A key way for insurers to respond to disruption in the insurance market is to more effectively personalize their marketing. Targeting prospects and especially customers with unique, personalized messages is a way for traditional carriers to be “disruptive”. Indeed there are those who see personalization—reaching customers with targeted messaging, offers, and pricing at just the […]