Machine Learning

Decide to Decide Digitally: New Forrester Research

Mike Gualtieri and Boris Evelson of Forrester recently published a great new paper Introducing AI-Powered, Human-Controlled Digital Decisioning Platforms (subscription or payment required) and you should get access to this paper and read it now. It’s got some great content and recommendations and is well worth your time and money.  It follows on from previous […]

Technology Transformation Antipatterns and how they derail decisioning success

Sven Blumberg, Thomas Delaet, and Kartikeya Swami of McKinsey Digital published a great paper recently – Ten ‘antipatterns’ that are derailing technology transformations. Technology has a crucial role in enabling this faster and more flexible approach. In our experience, however, technology does not get sufficient attention on the executive agenda. This is a serious flaw […]

New White Paper on Operationalizing AI with Digital Decisioning

We recently published a new white paper Operationalizing AI: Beyond AI Pilots with Digital Decisioning. Businesses are made or broken by the quality of the decisions they make. How well does this offer target this customer? Does this machine need to be serviced now or can it wait? Is this transaction legitimate or suspicious? Will […]

Three Critical Success Factors in Building an Analytic Enterprise

Everyone it seems wants to be an analytic enterprise. But what does it mean to be an analytic enterprise? An analytic enterprise applies analytics deeply and broadly. It uses analytics to solve its most critical run-the-business problems. It uses increasingly advanced and analytics to maximize its ability to get value from its data. And it […]

The Purpose of Analytics is not Reporting or Monitoring but Deciding

Some years ago we did some research on the landscape of analytics capabilities. The research looked at the increasingly broad portfolio of analytic capabilities available to enterprises – everything from traditional Business Intelligence (BI) capabilities like reporting and ad-hoc queries to modern visualization and data discovery capabilities as well as advanced (predictive) analytics. One of […]

COVID-19: Drive the future of work (Part 4)

Following up on part 1, part 2, and part 3, McKinsey’s Jump-starting resilient and reimagined operations discussed the impact of COVID-19 on the future of work. We are already seeing radical changes in how people work, especially with remote collaboration and other digital tools. But work is also going to change in more fundamental ways […]

What the Future Holds for Decision Optimization

A Guest Post by Neill Crossley, ACIB James, thank you for the opportunity to guest blog in your series on Decision Optimization. First to introduce myself….. I’m a veteran of 35 years in Retail Financial Services, 25 of which working in Decision Management, the last 17 focused on Decision Optimization, I currently work as a […]

New Analytic Approaches in Decision Optimization

There’s a lot you can do right now to optimize your decisions. You can model your decision-making to understand it better, experiment to gather data about what works and for whom. You can engage in continuous improvement, making small changes regularly. And you can optimize your decisions mathematically. But what will you be able to […]

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 […]