What is DMN?

Decision Model and Notation is a standard published by the Object Management Group. A standard approach for describing and modeling repeatable decisions within an organization to ensure interchange.

Mission

Improve decision automation and management, with concise & consistent use of DMN in discovery and organization of decisions by providing an independently validated staged on-ramp for conformance.

Scope

The committee will focus on the scope as it relates to the discovery and organization of decisions

Dr. Jan Purchase

Committee Chairman

Dr Jan Purchase has been working in investment banking for over 20 years, during which he has worked with nine of the world's top 40 banks by market capitalization. He helps clients automate and improve their operational business decisions by applying decisioning modelling and artificial intelligence. Over the past four years, he has focussed on machine learning enhanced decisions, specializing in model development/deployment, data visualization, client training/mentoring and improving the integration of predictive analytics and machine learning within financial, operational decisions (e.g., Liquidity Risk Management, PEPs/Sanctions, Customer Lifetime Value and Legal Classification). With James Talyor, Jan is co-author of the 'big blue book' on decision modelling.

Prof. Jan Vanthienen

Professor of information systems at KU Leuven (Belgium), Department of Decision Sciences and Information Management in the Research Center Information Systems (LIRIS). My research topics are: business rules, processes and decisions, business analysis and analytics (see my publications in Google Scholar here). I teach courses in business analysis, business analytics and software design and am programme coordinator of the Master of business and information systems engineering.
Currently I am head of the Department of Decision Sciences and Information Management. I am also a member of Leuven.AI – KU Leuven Institute for Artificial Intelligence.

James Taylor

James is the leading expert and author in how to use decision modeling, business rules, and analytic technology to deliver Digital Decisioning. James is passionate about helping companies improve decision-making and effectively adopt advanced analytic technology. He provides strategic consulting to companies of all sizes, working with clients in all sectors to adopt decision-making technology. James has spent the last 20 years working in decisioning and has led Decision Management efforts for leading companies in insurance, banking, health management, and telecommunications.

Lenny Bromberg

At IBM, Lenny has been championing the virtues of decision management for nearly two decades at clients on every continent (except Antarctica). Leveraging his technical education in computer science and electrical engineering, Lenny worked in project delivery of business rules projects and quickly identified a gap needed between business and IT in this space. He helped define a role to bridge that gap at one of the leading industry vendors before moving to the United Kingdom and joining a team of technical sellers focused on enabling business-led governance of policy management. Upon his return to the US, Lenny took on a sales role and was quickly promoted to a leadership position for North America and later Worldwide sales executive responsible for decision management and a broader automation portfolio. When Lenny is not busy helping customers leverage the value of business-led policy management, you can find him kitesurfing in the San Francisco Bay Area or skiing in Lake Tahoe.

Chris Berg

Chris has been leading people, products, design and technology for over 20 years in the enterprise software space. He has led significant design explorations (BPM, PaaS, API Management and DevOps) while at IBM and covers more than 15 years of product leadership in the Decision Management space. In much of this time, he focused on transforming business behavior and empowering business users.

Marc Lerman

Sparkling Logic, Inc. Marc was one of the early lead technical architects of the Blaze Advisor IDE at FICO, after a few years spent working on Neuron Data’s Nexpert expert system, and Open Interface (a cross-platform UI toolkit). He also worked as a consultant for government and large institutions on software design and methodology, as well as on performance improvement of applications in production. Marc holds an MSc in Artificial Intelligence from the University of Edinburgh (UK). He is based in Paris, France.

Pierre Berlandier

At IBM, Pierre has been living and breathing rules for more than 30 years, through their successive incarnations, from expert system, to real-time intelligent agents, to business decisions.

Drawing on his experience with large-scale project development in different industries, he has been leading the development and deployment of methodology practices to drive successful, perennial, and repeatable implementation of decision automation solutions for his clients. Pierre currently leads the Garage Solution Engineering team for Digital Business Automation in IBM's Cloud and Cognitive Services organization.

Carlos Serrano-Morales

Sparkling Logic, Inc. Carlos has spent a fair part of his professional adventures in the AI, Analytics, Decision Management and Business Rules world. After graduating from the top Mathematics schools in France, he worked on major European technology projects as well as at the European Space Agency. He joined AI pioneer Neuron Data in its early days, worked on Nexpert, expert system leader, and then was at the origin of Blaze Advisor which helped bring about the BRMS / Business Rules revolution to business applications.

He was responsible for all Decision Management technologies at FICO, including Predictive Analytics, Business Rules, Decision Optimization, as well as the company’s Enterprise Architecture group. He is a passionate development and product leader.

Ryan Trollip

Ryan is a Founding Member and Chairman of Decision Automation Org and has spent his entire career focused on delivering value through automation, over 25 years of experience in leading business automation delivery, and more than 15 years of specialized overseeing and building decision automation services practices and software. These practices delivered large, complex decision automation solutions. Ryan is currently the CTO at Decision Management Solutions and formerly the head of Enterprise Architecture, Advisory consulting (Business Architecture), and Decision Management Practices.