[KieLive#24] DMN: squeeze the most out these features, by Matteo Mortari

A pragmatic approach to Decision Management with DMN

About this Event

KieLive#24: DMN: squeeze the most out these features

Decision Management is an important pillar of Business Automation and a key aspect of all Digital Transformation initiatives. DMN as an open standard is a very effective enabler of decision management both from a methodological but also pragmatic perspective, since the execution semantic is defined in the specification itself. We will delve into some key aspects of DMN in order to understand their characteristics, their advantages and limitations, and their best application in a cloud-native context too. This session is intended to provide interesting insights both to Business Analysts and Developers/Coders.

About the invited speaker:

"I contribute to the DMN execution engine used in Drools, Kogito and Red Hat Process Automation suite. I believe there is a whole new range of unexplored applications for Expert Systems (AI) within the Corporate business; additionally, I believe defining the Business Rules on the BRMS system not only enables knowledge inference from raw data but, most importantly, helps to shorten the distance between experts and analysts, between developers and end-users, business stakeholders."

About the KIE Lives:

The KIE Live Series is composed of live streamings that bring technical information and updates about business automation delivered by the projects under the KIE umbrella: Drools, jBPM, OptaPlanner, and Kogito.

Problems like process automation, decision automation, resource planning solution are the main topics, and of course, we always have in mind recent technology concepts like cloud-native application target for any type of cloud (private/public/hybrid/edge). You can expect to hear from business automation experts who code or/and deliver business automation within big enterprises across the world.

Join us to share, learn, and grow together.

Knowledge is everything

Chapters:
0:00 Introduction
5:19 Why DMN matters?
26:14 DMN Validation features
43:40 Pragmatic DMN Patterns
1:01:37 Kogito DMN and OpenAPI
1:10:55 Conclusions and References

#DMN #Drools #Kogito

[kunalkishan]

Please cover date computation in little more detail - like can Point in Time/Range-Based Temporal Functions be used in Decision Table