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CamundaCon

All Camunda blog posts tagged with CamundaCon.

Aug 8, 2019

CamundaCon 2019 – Indiana Farm Bureau: Camunda for Modern Web Applications & Reusable DMN-driven Survey Forms

When Indiana Farm Bureau’s Sowmya Raghunthan, IT Application Architect; and Corinna Cohn, Senior Web Developer, sat down to develop an app using Camunda as a headless BPM, their research drew a blank. This September at CamundaCon, the talented pair will present this industry-first use case in two parts. So if you’ve been pondering how to use the Camunda REST Engine to full capability, alongside a decoupled architecture – you do not want to miss this!

By Charley Mann

Aug 1, 2019

CamundaCon 2019 – AXA and viadee: Transformation from a self-built process engine

Niko Vogel, Manager IT-BPM and Product Owner AXA Konzern AG; and Matthias Schulte, Senior Consultant – Competence Center “BPM and Process Automation”, viadee Unternehmensberatung AG, are some of Camunda’s longest-standing users. In fact, Niko has joined us on stage before, presenting at Camunda Days in Stockholm and Brussels. If you were fortunate enough to score a seat at those events – you’ll know this CamundaCon presentation from the forward-thinking pair is not to be missed! Read on for highlights of their talk, and what they’re looking forward to at CamundaCon 2019.

By Charley Mann

Jul 13, 2019

Solving Santa’s Sequencing Problem Using Domain Narrowing Constraint Propagation Based on DMN collect hit policies.

CamundaCon 2019 is just around the corner! Rob Parker, Enterprise Architect at Australia Post, will be presenting Innovative Problems For Elegant Solutions and he’s shared with us a sneak peak at the kind of out-of-the-box thinking his presentation will cover: Everybody is likely familiar with Sudoku puzzles. When I solve them, I typically use little pencil marks to track which values are still feasible in unresolved cells. In other words, for each unresolved cell, I annotate it with the set of remaining possible values or its domain. As each cell is solved, the implication is propagated to its neighboring cells by crossing off the infeasible values (domain narrowing) from each set of candidate values. This technique is effectively a form…

By Robert Parker

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