Online Sessions

Between annual Decision Camps, we run Online Sessions based on the presenter’s requests. If you want to present, contact DMCommunity. Here is the list of the old and upcoming DecisionCamp Online Sessions with recordings available from our YouTube channel:

• TBA
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• 2023-09-18 – 2023-09-20: DecisionCAMP 2023 Recordings
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• 2023-04-19: “RuleOps: Rule Engines and Kubernetes DevOps” presented by Luca Molteni from Red Hat: “Rule Engines are very powerful tools to encode custom declarative logic, in this talk we’re going to see what benefits we can get from applying Drools to the Kubernetes Control Plane. From symbolic AI, inference, to CEP, we think this might a good fit to solve common Kubernetes administration problems. We created then “RuleOps”, an exploration space to provide a toolkit for the cloud engineers and DevOps.” Register
• 2023-01-11: “Why is symbolic AI being overshadowed by statistical AI?” presented by Bas van der Raadt: There is so much hype around statistical AI. But why? These AI systems can only reproduce old facts. They produce unreliable outcomes. They are not transparent. And their underlying architectures seem to increasingly factor out human control. So why is the decision making industry heading in such a disastrous direction? And why is symbolic AI, which does not suffer from all mentioned disadvantages, not able to turn this tide around by offering a more reliable and transparent alternative? Maybe symbolic AI systems are perceived as too hard to implement, because they require explicit domain knowledge (which is a problem for most organizations). Could building symbolic AI systems be made easier? Could Natural Language specification of domain knowledge be an answer? Bas van der Raadt will try to address these questions in a short presentation and demo of an experimental, Natural Language Execution (NLE) platform, called Hapsah. See also this post. Recording
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• 2022-09-28 – 2022-09-28: DecisionCAMP 2022 Recordings
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• 2022-04-20: “Decision Services Handling Large Payloads” presented by Jacob Feldman from OpenRules.com. In this session Jacob will share the recent OpenRules experience building decision services capable to handle huge payloads with sound performance. He will describe how putting a decision service into a cloud-based environment supporting parallel execution allowed a large US corporation improve the performance 100 times! Recording
• 2022-02-23: “Applying DMN to Model Legislations” presented by Vincent van Dijk from Pharosius.nl.
  In this session Vincent van Dijk will share his experience applying DMN for building the Digital System for Environment and Planning Act in the Netherlands described here. Issues to be discussed:
  – how can we minimize translations and directly execute DMN?
  – how do we combine models from different sources to deliver a single conclusion?
  – how do we implement dynamic questioning and how does this help the end users?
  – how do we deal with the declarative character of DMN in the dialogue with the end user?
  – is DMN suitable to model legislation and can models be easily read by legal experts? Recording
• 2022-01-26: “DMN 1.4 and beyond” presented by Denis Gagne, Trisotech.
  In this session Denis will present a summary of the work done by the DMN 1.4 Revision Task Force (RTF) and open discussion on what should come next for the Decision Model and Notation standard. Recording
• 2021-12-15: “Learning Executable Constraint Models from Positive and Negative Examples” presented by Helmut Simonis, Insight Research Centre for Data Analytics
  We discuss how to learn constraint models for combinatorial problems from positive and negative example solutions.  The constraints learned are either structural, coming from the perceived problem structure of the model, or based on input data which provide parameters and index sets. The learning process uses information about global constraints from the Global Constraint Catalogue, and defines a set of constraint pattern to discover conjunctions of similar constraints over common data structures. The CAT tool generates constraint models in MiniZinc, which can then be run by a variety of back-end solvers, it also produces a human readable description of the constraint model which allows a user to understand the model generated. It was tested on the benchmark problems of the PTHG21 Challenge. Recording
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• 2021-09-13 – 2021-09-15: DecisionCAMP 2021 Recordings
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• 2021-06-09: “Performance of a Large Decision Table Deployed as a Microservice” presented by Dr. Bob Moore, JETset Business Consulting.
  There have been a number of solutions submitted to February’s decision modelling challenge. This talk inspired by the solutions to the challenge, looks at some aspects of managing large decision tables, considering the comparative performance of various solutions and suggesting things one should consider when trying to come up with an optimal approach when dealing with large decision tables. Read more Recording
• 2021-05-05: “Compression of Redundant Rules and Other Logical Optimizations” presented by Seth Meldon, Progress Corticon.
  When migrating to an enterprise BRMS from an existing tool for maintaining business logic, implementers will often be given a specification of business rules to work from that replicate the design patterns used in the legacy tool. This can result in replicating logical problems and inefficiencies in the BRMS. This talk, inspired by the demonstration of one of these capabilities (compressing over 16,000 rules into just over 1000) in the February decision modeling challenge, discusses the ways that Progress Corticon BRMS helps rule modelers to catch these logical inefficiencies in the design phase. Recording
• 2021-04-07: “Machiavelli: How should an aspiring prince use rules, decisions and processes?” presented by John Svirbely and Denis Gagne, Trisotech.
  “The Prince” from Machiavelli was meant as an instruction guide for new princes and royals. But what if Machiavelli had the benefit of modern modeling tools to capture his teachings? Join us as we revisit Machiavelli’s “The Prince” using unambiguous terminology and rules to define and automate decision and process models. Armed with an automated set of decision services, any layman can aspire to become a Prince. Recording
• 2021-03-10: “Practical decision modelling in an Agile environment” presented by Nick Broom. “Agile has been the buzzword across companies and domains for years now and focusing on the early delivery of value and ‘pivoting’ has become even more important given the past 12 months. So how does decision modelling fit with Agile practices? How can a complex decision model be developed iteratively so that it realises value as early as possible? How does a user story and its acceptance criteria relate to a decision model? This presentation aims to tackle these questions in practical terms using real-world examples.“
• 2021-02-10: “Decision Governance“, presented by Larry Goldberg, Sapiens Decision. “Today we understand that decisions made in business systems at scale determine not only the financial success of each organization, but indeed its very character. Consequently, governance over the design, testing and deployment of those decisions becomes critical to the success of the enterprise. This talk discusses the principals of governance in Sapiens Decision, and the means for its implementation.“‌‌‌
• 2021-01-19: “Kogito: Cloud-native Business Automation“, presented by Mario Fusco and Matteo Mortari, Red Hat.  They presented practical examples how to build cloud-native event-driven business applications using Kogito, a new framework based on Drools, jBPM, OptaPlanner, and integrated with Quarkus – watch recording
• 2020-11-05: “Building lightweight composable process applications using rules + workflow“, presented by Dipo Majekodunmi, Solution Architect at ProcessMaker Inc.
  who demonstrated how to build and run a credit evaluation process using ProcessMaker + OpenRules decision services connected via REST API calls.
• 2020-10-07:  “Binding Text and Logic using Accord Project Templates“, presented by Dan Selman, CTO at Clause, Inc.
• 2020-09-04: “Self-Learning Decision Models“, presented by Jacob Feldman, CTO at OpenRules, Inc.
• 2020-07-29: “Best Practices for Regressing Testing Decisions“, presented by Carole-Ann Berlioz, Chief Product Officer at Sparkling Logic.
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• 2020-06-29 – 2020-07-01: DecisionCAMP 2020
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• 2020-06-25: Baljeet Singh. Managing Decisions for Workflows
• 2020-06-12: Carole-Ann Berlioz. Best Practices: Making Decisions
• 2020-05-29: Dr. Bob Moore. NIM – An Adventure in Machine Learning
• 2020-05-22: Rulesmatix LABS Decision Services Testing Framework

If you want to present, send an email to decisionmanagementcommunity@gmail.com that includes:

• Author
• Title
• Brief Abstract.

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• Slack Channel
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