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 […]
I recently had the privilege of being interviewed by Zbigniew Misiak for a blog post in BPMTips.com. The post was titled, “BPM Skills in 2020 – Hot or Not”. In this interview series, many business process management experts were interviewed to discuss skills that will be useful for BPM professionals in 2020. Included in this prestigious […]
According to IDC, 85% of enterprise decision-makers say they have two years to make significant inroads into digital transformation or they will fall behind their competitors and suffer financially. While many Digital Transformation initiatives are focused on improving the customer experience, often too little attention is paid to the customer-facing operational decisions that impact customers […]
The Machine Learning Times (previously Predictive Analytics Times) is the only full-scale content portal devoted exclusively to predictive analytics. It has become a standard must-read and machine learning professionals’ premier resource, delivering timely, relevant industry-leading articles, videos, events, white papers, and community. In this month’s featured article, Eric Siegel, Ph.D., executive editor of The Machine […]
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: […]
AI proves its worth, but few scale impact As you might expect, the survey shows that “Respondents from these AI high performers report that they achieve greater scale and see both higher revenue increases and greater cost decreases than other companies that use AI”. The article lists various core practices that scale AI and compares […]
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 […]
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 carriers are not making their cost of capital.” Growing productivity by improving operations is an essential ingredient […]
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 […]
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 machine learning models that can be, will be, trusted is regarded as […]