The Blue Polaris Blog
New Webinar: Learn How to Put Customer-facing Decisions at the Heart of Your Digital Transformation
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 […]
Why Operationalizing Machine Learning Requires a Shrewd Business Perspective
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 […]
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: […]
McKinsey & Company releases another informative but slightly depressing study on AI adoption
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 […]
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 […]
Increasing Productivity in Insurance Operations with Digital Decisioning
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 […]
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 […]
Machine Learning, Trust and Stephen Covey
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 […]
Showing 89-96 of 696 results