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 […]

James’ Notes from the Field

I’m in Asia for two weeks. Last week I had the privilege of catching up with marketing and operations leaders at a major local insurer. We built both a next best offer (NBO) solution and a claims handling solution for them. Both teams are self-sufficient, with multiple business people making changes to the decisioning system. […]

Predictive Analytics World 2019 – What I Learned and What I Said

I presented on Backwards Engineering – planning Machine Learning (ML) deployment in reverse. Data shows that a traditional data-first approach to analytics is not generating much value for companies and I urged the audience instead to adopt a decisions-first mindset. The last mile – getting ML models embedded into production systems – is critically important […]

Innovating the Insurance Customer Experience

By:  Zoe Zhou There is a common high-level customer journey for insurance customers. The customer researches providers and policy options. Once a preferred provider and policy are decided, the customer applies for the policy. If they are approved the policy is issued. If they have a claim, they fill out the relevant paperwork and the claim […]