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Tag Archives: AI

Kogito, ergo Rules — Part 1: Bringing Drools Further

The Kogito initiative is our pledge to bring our business automation suite to the cloud and the larger Kubernetes ecosystem. But what does this mean for our beloved rule engine, Drools? In this post we introduce modular rule bases using rule units: a feature that has been experimental for a while in Drools 7, but that will be instrumental for ...

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AI in Testing: The third wave of automation

The evolution of agile methodology enforced the enterprises to innovate and deliver at lightning speed. While delivery cycle time is decreasing, the technical complexity required to deliver positive user experience and maintain a competitive edge is increasing—as is the rate at which we need to introduce compelling innovations. To meet the continuous integration and delivery needs, we have turned to ...

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The Truth About AI and Test Automation

Software testing has gradually evolved in the past few decades. In the past, teams were accustomed to the waterfall methodology: Everything was sequential, from requirements to product deployment. Only after the development phase was completed did the testers got their hands on the product. Historically, testers would find a number of bugs in this phase, and it would take a ...

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How to Get Started with Java Machine Learning

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What are the best tools to get started with Java machine learning? They’ve been around for a while, but these days it feels like everyone is talking about artificial intelligence and machine learning. It’s no longer a secret reserved to scientists and researchers, with implementations in nearly any new emerging technology. In the following post we’ll do a quick overview ...

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