8:00 am – 8:50 am |
| Room: Grand Oaks EF
8:00 am – 8:50 am | Presentation | Room: Grand Oaks EF
Explainable AI using Decision Management
Presented by: Denis Gagne
One of the most unfortunate things about the current Artificial Intelligence (AI) resurgence is the promotion of technology that make black boxes out of such AI based systems. In strange ways, we are drawn by this “unexplainable” way in which these intelligent systems make decisions of whether it is a picture of a cat or a dog. But in a business context we not only expect, but lawfully require, business decisions to be explainable (Explainable AI). Why was this loan rejected? Why have you prescribed this medication?
Building AI applications can be hard. Building automated business decision applications can also be hard, but using the Decision Model and Notation (DMN) is making it dead simple to build explainable business decision systems by allowing simple visual modeling of decision requirement and decision logic. Come and learn how you too can build intelligent decision systems that can explain their answers.
- Overview of the current AI resurgence
- What are the strengths and weaknesses of symbolic and non-symbolic AI
- How to visually model Business Decisions using DMN
- Adding predictive analytics to your explainable business decisions
CEO & CTO
For over a decade Denis Gagné has been a driving force in the majority of international BPM standards in use today. He is a member of the Workflow Management Coalition (WfMC) Steering Committee, chair of the Business Process Simulation Working Group (BPSWG), and the co-Editor of the XPDL 2.2 process definition standard. For the Object Management group (OMG), Denis is the Chair of the BPMN Interchange Working Group (BPMN MIWG), and a member of the Business Process Model and Notation (BPMN), the Case Management Model and Notation (CMMN), and the Decision Model and Notation (DMN) team.
Denis's 2018 Presentations:
- An Introduction to the Triple Crown: Using BPMN, CMMN, DMN Together
Tuesday, November 6, 2018 (1:30 pm – 4:30 pm)
- Explainable AI using Decision Management
Thursday, November 8, 2018 (8:00 am – 8:50 am)