Presentations text content in 1 Decision Automation using
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1
Decision Automation
using Models , Services and Dashboards
Chair BPMN MIWG at OMGCo-Chair BPM Health Workgroup at OMGDMN RTF Member at OMGBPMN RTF Member at OMGCMMN RTF Member at OMGChair BPSWG at WfMCXPDL Co-Editor at WfMC
Denis GagnéCEO & CTO
Slide2Abstract
The
Decision Model and Notation (DMN) offers the perfect solution to specifying Business Decisions. Symbolic and sub-symbolic artificial Intelligence (AI) approaches can effectively be used jointly within DMN, delivering explainable decision automation that is desired if not mandatory in any business context. The resulting DMN Decision Models are also the perfect architecture for the creation of decision support dashboards.
In this session we will demonstrate how line of business people can define business decisions that are explainable, auditable, and traceable. These business decisions can be assembled and consumed as services via a modern platform API architecture and visualized via graphical dashboards. The resulting dashboards help visualize information and knowledge that that are critical for the operations of any type of business.
Slide3Digital businesses are insights driven
To turn insights into actions, they rely on their ability to make the right business decisions
Slide4🐘
Analytics and Decisions
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Gartner 2013
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A decision that's made by technology that might have been made by a human
Decision automationSimplicable.org
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Technology = Hardcoded rules or complex algorithm
Slide6AI
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🐘
To have computers do things, that, if people did them, we would consider intelligentTo explain how human intelligence works, and reproduce it in computersGoals of AIsubject to “Disappearing AI”👆
AI the elephant in the room
Slide7The Dark Secret
No one really knows how the most advanced algorithms do what they do.
That could be a problem.at the Heart of AI
7MIT Technology Review 2017
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Slide88
Place your screenshot here
Marvin Minsky
AI
The current AI
resurgence is
connectionist
(sub symbolic)
driven
Slide9Explainable
AI is required if not mandatoryA Black Box solution will not cut it
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Business
Decisions
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Slide10Explainable
Decisions
Transparency, Provability and
Explainabilityare mandatory requirements of today’s business decisions automationArticle 22 of the GDPR requires that companies be able to explain to their customers how machine decisions are made.
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DMN to the rescue
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What is DMN?
Decision Model and Notation
DMN is a standard published by the Object Management Group (OMG). Why DMN matters?A common meta-model and notation for describing and modeling repeatable Business Decisions Enables various groups to effectively collaborate in defining a Decision ModelProvides a standard notation for Decision TablesCurrent StatusDMN 1.2 is the current version
https://www.omg.org/dmnDMN
Slide13DMN
Decisions
Decision Support
Decision Automation13DMN DMN 👤User acts based on the recommendation from the DMN decisionSystem acts based onthe DMN decision
Slide14Decision Automation based on
DMN14
Decisions as first class citizen
Visual representation of decisionsWhat you model is what you execute!Completely explainable decision automation
Slide15DMN
is an open StandardDMN is Model Driven
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Slide16Decisions
Tactical
Operational
Strategic16
DMN
IEEE and ISO are exploring the usage of DMN for strategic decision in the context of governance and ethics
Slide17What you model is what you execute !
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The Model is the Decision Requirements
The Model is the Decision LogicThe Model is the Decision DocumentationThe Model is the Decision CodeThe Model is VerifiableDMN
DMNDMN
Slide18A picture is worth a thousand words
A complex business decision can be conveyed with a simple Decision Requirement Diagram (DRD), providing context and making the decision and its context obvious and transparent
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Slide20DMN Model
Offers an explainable business context to Black Box AI
Identifies Data and Information requirements of Black Box AISpecifies Black Box AI relation to Business Decisions
Frames the impact analysis of Black Box AI on actual Business Decisions 20
auditableexplainabletraceable
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Black Box AI
DMN provides business context to black box AI
Slide22Dec
ision
Most powerful concept of DMN Enables Decision as a Service (
DaaS)
Services
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Slide23Decision Services
Allows DMN decisions to be easily encapsulated, tested, re-used, and orchestrated in various apps
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DeterministicStatelessReusableAutonomous units of business functionalityContract-basedLoosely coupled
Platform-independentDiscoverable and location independentStandards-basedAPI
Slide24Decision
As a
Service Full lifecycle management platform of Decision Service APIs for composite apps
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🏭
DMN
API
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Internal Library of services
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External Store of services
Decision as a Service
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🏭
DMN
API
Dashboarding
Slide27Decision Requirement Diagrams as Dashboard specifications
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Frame the impact analysis of Information and knowledge requirements on actual Business Decisions
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Slide29DMN
Decisions
DescriptiveWhat Happened?DMN Decision Services execution logs can be configured for audits of WHY and HOW any Business Decision was achieved
DiagnosticWhy did it happen?DMN Decision Services exposed as a Dashboard can provide insight on the Business Decision behavior wrt dependency variationsPrescriptiveWhat should I do?DMN Decision Services can automate Business Decisions that are explainable, auditable and traceable 29
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Slide3131
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Slide33Decision Automation
Decision Models
Decision Services
Decision Dashboards33
DMN
DMN
DMN
DMN
auditable
explainable
traceable
Slide34THANKS!
Any questions?You can find me at
dgagne@Trisotech.com
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1 Decision Automation using
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