Category Archives: Business Rules

Building Business Capability on May 8-12, 2023

Building Business Capability comes to Las Vegas, at the brand new Caesar’s Forum, on May 8–12, 2023. The conference enhances your ability to advance People, Product, Data, andKnowledge, to build your core leadership skills, to create a customer centric organization, … Continue reading

Posted in Business Analytics, Business Processes, Business Rules, Events | Leave a comment

Business Rules and Ontology in an Event-Driven Architecture

Bas van der Raadt describes an event-driven business architecture that connects business activities (business rules) with business data (ontology) via business events (state changes of business data). model. He explains how everything comes together and how it helps business people … Continue reading

Posted in Architecture, Business Rules, Event-driven, Semantic Web | Leave a comment

Decision Services Handling Large Payloads

Posted in Architecture, Business Processes, Business Rules, Cloud Platforms, DecisionCAMP, Event-driven, Microservices | Leave a comment

Businesses Require Better Goal Management

Jim Sinur: “Better goal management requires a new level of transparency and communication capabilities than in the past and follows a consistent goal cycle. While there still will be the issue of variations by legal system and location, the adaptation … Continue reading

Posted in Business Analytics, Business Processes, Business Rules, Digital Decisioning | Leave a comment

Augmented BPMS: A Research Manifesto

A group of researchers (many of whom are associated with Declarative AI and indirectly with DecisionCAMP) just published the manifesto “Augmented Business Process Management Systems“: “While traditional BPMSs encode pre-defined flows and rules, an ABPMS augmented by AI is able … Continue reading

Posted in Artificial Intelligence, BPM, Business Processes, Business Rules, Case Management, Innovation, Reasoning | Leave a comment

Learning Jointly from Rules and Data

Today’s post in Google AI Blog “Controlling Neural Networks with Rule Representations” introduces a novel approach that does not require machine learning models retraining to adapt the rule strength. In real-world domains where incorporating rules is critical – such as physics … Continue reading

Posted in Business Rules, Decision Modeling, Machine Learning | Leave a comment

Implementing Rating Engines with Business Rules and Lookup Models

On June 17 at 12 PM EST Carole-Ann Berlioz from Sparkling Logic will run a webinar about rules-based rating engines, e.g. scoring engines, pricing engines, compensation calculations, claims payment calculations, and many other types of calculation engines aimed to calculate … Continue reading

Posted in Business Rules, Decision Modeling | Leave a comment

Everything old is new again

Prof. Gene Freuder writes about Human-Centered AI: “human-centered”, “human-aware“, “human-AI collaboration” are, rightly, very prominent nowadays. But “everything old is new again”: I ran across an interesting twenty-year-old paper from the European Journal of Operational Research on Human centered processes and decision support … Continue reading

Posted in Business Rules, Constraint Programming, Decision Making, Human-Machine Interaction, Machine Learning | Leave a comment

Next DecisionCAMP Monthly Session on Nov. 5

The next DecisionCAMP monthly session “Building lightweight composable process applications using rules + workflow” will be presented by Dipo Majekodunmi, Solution Architect at ProcessMaker Inc., on Nov 5, 2020 at 12:00 PM EST. Join us at Zoom using the invite … Continue reading

Posted in BPM, Business Rules, Microservices | Leave a comment

Intuit Tax Knowledge Engine

Intuit just published a technical overview of their new Tax Knowledge Engine, the key innovation to make TurboTax smarter and more personalized for 37M+ consumers. First they listed key limitations for the traditional approach that are common for many rules-based … Continue reading

Posted in Artificial Intelligence, Business Rules, Explanations, Human-Machine Interaction, Knowledge Representation, Logic and AI | Leave a comment