Introduction PMML is an XML standard whose scope is to define different kinds of predictive models (Regression, Scorecard, Tree, Neural Network, etc) in a system-agnostic way, so that it may be used and shared by different systems/implementations. The OpenAPI Specification (OAS) defines a standard, language-agnostic interface to RESTful APIs which allows both humans and computersRead more →
Modern enterprises are increasingly integrated with Machine Learning (ML) algorithms in their business workflows as a means of leveraging existing data, optimising decision making processes, detecting anomalies or simply reducing repetitive tasks. One of the challenges with ML methods, especially with internally complex predictive models, is being able to provide non-technical explanations on why aRead more →
This post is meant as an introduction of the overall motivations, goals and choices around the Efesto initiative. Premise Originally, "Drools" (and its repository) was meant only as a "rule engine", and all the code was built around this paradigm. Over the years, new engines have been created that used, more or less, the "ruleRead more →
Tuning algorithms, especially when machine learning is involved is often a tricky business. In this post we present an optimization based technique to automatically tune LIME in order to obtain more stable explanations. LIME (aka Local Interpretable Model agnostic explanations) is one of the most commonly used algorithms for generating explanations for AI based models.Read more →
It’s a wrap! Last week, during the online OptaPlanner Week event, we had 10 talks by 13 speakers across 3 days with – per day – up to 250+ live attendees and 1300+ viewers afterwards. We’ve split up the talks into separate videos for your convenience, watch them below. Big thanks to all speakers forRead more →
This post summarises the current design of REST endpoints which are automatically generated and made available, when using DMN model assets in a Kogito application. This work was finalised as part of KOGITO-2840. Introduction For each DMN model in a Kogito application, a collection of REST endpoints is automatically code generated based on the contentRead more →
For the last few months, here at KIE team we’ve been hard at work. Today I am proud to announce that our cloud-native business automation platform is hitting a major milestone. Today we release Kogito 1.0! Kogito includes best-of-class support for the battle-tested engines of the KIE platform: the Drools rule language and decision platform, the jBPM workflow and process automation engine, the OptaPlanner constraint satisfaction solver; and it bringsRead more →
