SBVR Specification for the Organ Donation Challenge

Ron Ross submitted Rule Specification for the Organ Donation Challenge that is based on SBVR/RuleSpeak. “The first and foremost concern is the exact business semantics of the problem. The rule specifications presented below address that fundamentally important objective. The RuleSpeak/SBVR philosophy is that there is no point in developing a system solution if the business problem has not been precisely communicated. SBVR philosophy is that if business semantics are fully captured, a system solution could be generated automatically.Link Continue reading

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40% of European AI start-ups have almost nothing to do with AI

A new report from London-based venture capital firm MMC Ventures found no evidence that artificial intelligence was an important part of the products offered by 40 percent of Europe’s 2,830 AI start-ups. The findings raise questions about how the term AI has become a blanket phrase for start-ups looking to attract investments. Link

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bpmNEXT-2019 in April 15-17

bpmnextThe 7th bpmNEXT will be held in Santa Barbara, California on April 15-17, 2019. It will cover Process Mining and Advanced Analytics, AI and Machine Learning, Robotic Process Automation, Decision Management, Digital Transformation, and new cloud software architecture built on containers and REST services. It is designed specifically for those already chest-deep in Intelligent Automation technology and eager to get in early on its next round of technology innovation – to touch it, see it, and influence it.

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Roadblocks to Rules Engines

Carol-Ann Berlioz from Sparling Logic lists several roadblocks to decision management systems or rules engines as they are still often called. And she also lists great benefits of using them: Link Continue reading

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Running Java-based Decision Services in the New World

Java was introduced over twenty years ago and to this day, it still remains very popular among developers. A new Java framework “Quarkus” provides an effective solution for running Java in the new world of serverless, microservices, containers, Kubernetes, FaaS, and the cloud. Its container-first approach for cloud-native Java applications unifies imperative and reactive programming paradigms for microservices development. Link

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Overwhelming Response to DecisionCAMP-2019

While the abstract submission deadline for the DecisionCAMP-2019 is March 31, we’ve already received an overwhelming response from many well-known experts and practitioners with their intentions to present at DecisionCAMP in September. It is interesting that if the DMN standard was dominating the last 3 DecisionCAMPs, this year many potential presenters warn me that they plan to go far beyond DMN. It seems this year the major discussion scheme will be “DMN and Beyond“. So, I want to invite all our readers to submit their abstracts or at least to attend DecisionCAMP in Bolzano, Italy on Sep. 17-19. It’s going to be fun! Continue reading

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The Hundred-Page Machine Learning Book

Andriy Burkov, a machine learning team leader at Gartner, published “The Hundred-Page Machine Learning Book“. Its preface says: “Let’s start by telling the truth: machines don’t learn. What a typical “learning machine” does, is finding a mathematical formula, which, when applied to a collection of inputs (called “training data”), produces the desired outputs. This mathematical formula also generates the correct outputs for most other inputs (distinct from the training data) on the condition that those inputs come from the same or a similar statistical distribution as the one the training data was drawn from.Link Wiki Continue reading

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“Old” AI vs Deep Learning

Vincent Gosselin from DecisionBrain wrote: “At last an article that takes a realistic view of AI rather than a sole focus on deep learning. We recently came across a failed AI project where a fairly hyped company, let’s call it company “AIE” (means “Ouch” in French) was imposed to the planning team of a large airline. The problem to solve involved scheduling thousands of tasks. The AIE company actually tried to automatically learn how to efficiently sequence tasks (based on previous manually generated schedules -> historical data) and did so for over 9 months without success… We solved the problem in 3 days using ‘old’ AI: IBM’s CP Optimizer (a powerful scheduling tool using heuristic search and constraint programming).” Link

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Mike Gualtieri: How to Make AI Happen Without Getting Fired

Mike Gualtieri from Forrester Research offers 8 tips on how to make AI happen without getting fired. These tips are based on his discussions with enterprise data scientists and enterprise leaders who embarked on machine learning and AI projects in their organizations. When determining and executing an AI Strategy at your company, the following eight observations, tips and advice may be very useful before getting started. Link Continue reading

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Decision Management: What It Is and Why You Need It

GartnerDMToday Roy Schulte from Gartner ran the webinar “Decision Management: What It Is and Why You Need It” describing the state of the art in decision management and offering guidance on how to get started. Here are a few slides: Continue reading

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