AI

The Basics of Operationalizing Your Investment in Machine Learning

by James Taylor, CEO Decision Management Solutions “Enterprises waste time and money on unactionable analytics.1” This quote from Forrester succinctly states why machine learning (ML) projects often never progress beyond the pilot stage—a common form of “purgatory” and a topic I presented recently at this year’s Machine Learning Week. Why many ML projects disappoint ML […]

Make Your Investment in Analytic Technology Pay Off With Decision Requirements Modeling

Like many enterprises, you’ve likely made a hefty investment in analytic technology—from interactive dashboards and advanced visualization tools to data mining, predictive analytics, machine learning (ML), and artificial intelligence (AI). But, now that you have all these wonderful tools at your disposal, have you stepped back and assessed whether they have truly provided value and […]

Avoid a Shipwreck by Incorporating Business Rules Into Your AI Decision-Making Projects

by James Taylor CEO, Decision Management Solutions In a previous blog, we introduced you to the Mayflower 400 autonomous ship, the first autonomous seafaring vessel in the world, developed by ProMare in partnership with IBM and other organizations. One of the big takeaways from the Mayflower project that can be applied to business is the […]

Why So Many Data Science Projects Fail to Deliver

by James Taylor, CEO, Decision Management Solutions If you are working in data science, you may be frustrated with the progress and ROI of your data science and artificial intelligence projects. The struggle is real, and you’re certainly not alone. Recent research conducted by the Alliance Manchester Business School at the University of Manchester and Ivey […]

James Taylor on IBM ExpertTV

Recently James Taylor, CEO of Decision Management Solutions, was featured on the IBM ExpertTV series “Two Questions About Automation.” Here’s a run down of the segment and the questions he answered. Host David Jenness asked James, “Why are companies struggling with AI and ML?” According to James, there are three main root causes. The first […]

Why Mainstream Organizations Struggle With Becoming Data-Driven and How Decision Management Can Help Them Achieve Value Faster

In our latest Linkedin article, we focus on the topic of why organizations are struggling to gain value from data initiatives. Although investment dollars in data and AI solutions are at a high point, the value derived from those investments is not following suit. In a recent survey by Harvard Business Review, only about a […]

What Does the World’s First Autonomous Ship Have to Do With Business Decision-Making?

What does the autonomous ship, Mayflower 400, have to do with business-driven decision-making? Quite a bit, it turns out. As you’ll see, the development of this amazing, one-of-a-kind vessel led to a conclusion that we at Decision Management Solutions see every day in our client work: It’s never enough to just rely on artificial intelligence […]

Top Three Items for Your 2021 To-Do List

Our world looks very different today than it did nine months ago, and so does your business. As one of the most turbulent years in recent history comes to a close, it’s critical in these uncertain times to prepare for the future. With the pandemic still in full play and economic uncertainty across nearly every […]

Learn How Machine Learning Can Deliver True Business Value

Sign up for our 2021 Machine Learning Week workshop by James Taylor, CEO, Decision Management Solutions Enterprises today are eager to apply machine learning to improve their operations. But how do they ensure that it truly serves their business operations in the most optimal way? After all, the end goal is to achieve better business […]

How to Succeed With AI: Tie It to Business Decisions

by James Taylor, CEO, Decision Management Solutions Artificial intelligence (AI) has the potential to transform businesses, and adoption is on the rise. A 2018 McKinsey global survey shows that 47% of organizations say they have “embedded at least one [AI capability] into their standard business processes, while another 30% report piloting the use of AI.” […]