Continuing our series on AI management options (kicked off by the HBR article Managing AI Decision-Making Tools), the next option is Human in the Loop For Exceptions (HITLFE). This option is probably the most common in our clients. Our typical client is aiming to get...
Michael Ross, an executive fellow at the London Business School and DMS CEO, James Taylor recently had an article published on the Harvard Business Review: Managing AI Decision-Making Tools. "The nature of micro-decisions requires some level of automation,...
Read moreBasing your next generation credit decisioning approach on a robust decision model, ideally one built using the industry standard Decision Model and Notation (DMN), will help you achieve all the best practices, McKinsey identified.
We have two upcoming training classes in the new year. These are all delivered live and online so you can attend from anywhere. The first training is a new class held January 25 - 27, 2022: “Operationalizing Machine Learning with DMN.” In this class, you will learn...
Next week November 2-4 is the first of our live fall trainings – Operationalizing Machine Learning with DMN. We recommend signing up for it in combination with the second training that runs from November 9-11 the following week. By registering for both classes at the...
Join Decision Management Solutions and IBM on October 20th for a technical deep dive into the innovative Mayflower Project. Learn how to harness AI and ML algorithms to positively impact your business outcomes. This webinar will show you how. During this session,...
This year, three of us from Decision Management Solutions will be at DecisionCAMP. We hope you can join us! Charlotte Dekeyrel will be presenting “How Decision Modeling Reduces Complexity in Regulated Industries.” Ryan Trollip will be co-hosting a session with Jan...
With all the changes, challenges, and turbulence in the world today, the importance of good decision making has never been greater. Organizations need to find ways to navigate optimally through these times so they can survive and thrive. Cutting-edge technologies can...
Real-world problems require ML/AI algorithms that turn your data into insights to be combined with policies, regulations, best practices and business domain expertise. Only when ML/AI algorithms are combined with business rules can decisions be made and business value...
Focusing on decisions and making decision services a core element of your IT infrastructure ensures your ML/AI algorithms can be effectively integrated into your business processes and systems. With your IT department managing the decision service architecture, the...
The combination of decision models, built using industry standard notation like the Decision Model and Notation or DMN standard, and business rules creates transparency in your decision making. Decision models and business rules ensure that business owners, legal and...
Before you "listen to the data" you need to listen to the business. Focusing on decisions and building decision models based on business know-how puts your whole ML/AI program on a business footing. Using industry standard notation like the Decision Model and Notation...
Today's businesses are heavily digitized and must be structured so that while interacting through digital channels, the value gained from customer experience between humans and digital touchpoints can be handled seamlessly and effectively. As a result, the line...
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”...