Integrate Excel with Drools on OpenShift with Knative and Quarkus!

In this blog post I want to share the results of a technical exploration in bridging, bringing together and integrating a diverse set of technologies ...

Matteo Mortari May 4, 2023

Simplify Kubernetes debugging with declarative logic

We put Drools inside Kubernetes’ control plane …you wouldn’t believe what happened next! 😉 This is a longer post on the current status of exp...

Matteo Mortari March 23, 2023

Transparent ML, integrating Drools with AIX360

Following up from a previous blog post about integrating Drools with the Open Prediction Service, in this new post we want to share the current result...

Matteo Mortari September 20, 2022

Integrating Drools DMN Engine with IBM Open Prediction Service

In this blog post we’re going to explore an integration between the Drools DMN Engine and another open source project from IBM: "Open Predi...

Matteo Mortari April 14, 2022

Event-driven predictions with Kogito

This blogpost introduces the event-driven predictions addon and is the third of my series of event-driven with Kogito posts, after the event-driven de...

Alessandro Costa January 27, 2022

Counterfactuals; getting the right answer

Sometimes the result of an automated decision may be neither desired or that which was required. What if there was a tool to find a way to overturn th...

Roberto Emanuel October 26, 2021

Introducing process operational monitoring for Kogito

Starting from Kogito 1.11.0, the Prometheus monitoring add-on enables operational monitoring of processes.

Alessandro Costa September 28, 2021

Shopping recommendations in PMML.

In previous posts (PMML revisited and Predictions in Kogito) we had a glance at how a PMML engine has been implemented inside Drools/Kogito ecosystem....

Gabriele Cardosi July 7, 2021

Autotuning LIME explanations with few predictions

Tuning algorithms, especially when machine learning is involved is often a tricky business. In this post we present an optimization based technique to...

Tommaso Teofili June 15, 2021

Getting started with TrustyAI in only 15 minutes

Hi Kogito folks, In the previous blogposts we demonstrated how to deploy a Kogito service together with the TrustyAI infrastructure on an OpenShift cl...

Jacopo Rota May 26, 2021

Model fairness with partial dependence plots

In this post we use PDPs to visualize potential fairness concerns in a machine learning model.

Tommaso Teofili May 4, 2021

A Genetic Algorithm with Trusty PMML

Recently, I've stumbled upon this interesting article and paired project about a Genetic Algorithm. Then, I've asked myself if somehow the features of Trusty PMML could be meaningfully used inside such context.

Gabriele Cardosi March 15, 2021