Decision Modeling

COVID-19: Increase transparency (Part 3)

Following up on part 1 and part 2, McKinsey’s Jump-starting resilient and reimagined operations highlighted how COVID-19 will rapidly increasing expense transparency in organizations. Increasing transparency generally is one of the key benefits of our approach to working with clients – our use of decision modeling and business rules technology often dramatically increases the general […]

COVID-19: Accelerate Digitization (Part 2)

Following up on part 1, McKinsey’s Jump-starting resilient and reimagined operations also talked about the impact of COVID-19 in accelerating end-to-end digitization. Many organizations were on this journey already but the need to support remote customers and remote workers has really accelerated it. The thing about end to end digitization is that you must digitize decisions […]

COVID-19: It’s time to transform (Part 1)

A recent McKinsey paper titled Jump-starting resilient and reimagined operations had some great advice for operational executives working on re-starting and reimagining their operations for a COVID-19 world. In particular, it identified 5 themes that will share post-COVID-19 recovery efforts in operations: Building operations resilience Accelerating end-to-end digitization Rapidly increasing expense transparency Driving the future […]

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 […]

Three Steps to Boost Your Deployment Score

As we approach the end of the year, our friends over at the International Institute for Analytics (IIA) are re-tweeting some of their best content. One post in particular caught our eye – What’s Your Deployment Score? This is a great piece by Tom Davenport (who wrote a foreword for my new book Digital Decisioning: […]

Delivering boring AI with Decision Management

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 mundane”. This is particularly true for companies […]

Decision Modeling for Analytics Translators/Interpreters/Storytellers

Many articles and surveys recently have identified the critical role that analytics translators, analytic interpreters or analytic storytellers play. These mediators help analytics teams, machine learning developers, AI engineers and other data scientists bring their results to life. By showing how the model works, showing how model outcomes align with the desired business outcomes, they […]