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The AI in smartwatches can detect irregularities in heart rhythms, suggest workout routines . AI-driven digital assistants are quickly becoming pervasive while making their ways into our lives, for better or worse, and it's a matter of months, not years, until luxury brands like Rolex will embed machine-learning tools into .Build business solutions using multiple technologies, from eXplainable AI and ML to rule engines and cutting-edge optimization.To start using Rulex Platform standalone version and to install it on your machine, you need to satisfy the following prerequisites: Rulex Platform Installer: the installer is the executable that will guide you through the installation phase, providing all the files required to run Rulex Platform.
All the courses include a trial license to put into practice what you’re learning. If you are already familiar with Rulex, or you are using Rulex 4, we suggest you the following courses: Getting started with Rulex Platform. Setting up Rulex Platform on . Discover the transformative impact of the EU’s AI Act and explore Rulex’s innovative eXplainable AI for trust, compliance, and responsibility in decision-making. Predicting customer churn using machine learning
Using Rulex Platform REST API. ¶. Here you can browse the full Rulex Platform’s API documentation and find out how to use API requests and how to interpret the responses. Before jumping into the description of all the exposed API calls, you’ll find a sum-up of the general structure of standard Rulex Platform API requests as well as the .Automating workflows with Rulex Platform. Configuring solutions to run without human intervention ensures smooth data flow across systems, enhancing end-to-end business process automation, efficiency, speed, and data consistency.
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Visualize data on interactive dashboards, create visual reports, and master data storytelling with our data representation tool, Rulex Studio.Exploring the AI ACT: Transparency as the Key for Future Technology; Rule-based validation: 3 reasons why Rulex does it better; Explainable AI in Life Sciences We distinguish between two types of explanation: : regarding governance of the AI solution, the best practices used, how it has been tested and trained, and why it’s robust and fair. : regarding each specific decision made by the AI solution. 100% explainable, AI solutions should provide both types of explanation.
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Build business solutions using multiple technologies, from eXplainable AI and ML to rule engines and cutting-edge optimization.To start using Rulex Platform standalone version and to install it on your machine, you need to satisfy the following prerequisites: Rulex Platform Installer: the installer is the executable that will guide you through the installation phase, providing all the files required to run Rulex Platform.All the courses include a trial license to put into practice what you’re learning. If you are already familiar with Rulex, or you are using Rulex 4, we suggest you the following courses: Getting started with Rulex Platform. Setting up Rulex Platform on . Discover the transformative impact of the EU’s AI Act and explore Rulex’s innovative eXplainable AI for trust, compliance, and responsibility in decision-making. Predicting customer churn using machine learning
Using Rulex Platform REST API. ¶. Here you can browse the full Rulex Platform’s API documentation and find out how to use API requests and how to interpret the responses. Before jumping into the description of all the exposed API calls, you’ll find a sum-up of the general structure of standard Rulex Platform API requests as well as the .Automating workflows with Rulex Platform. Configuring solutions to run without human intervention ensures smooth data flow across systems, enhancing end-to-end business process automation, efficiency, speed, and data consistency.Visualize data on interactive dashboards, create visual reports, and master data storytelling with our data representation tool, Rulex Studio.
Exploring the AI ACT: Transparency as the Key for Future Technology; Rule-based validation: 3 reasons why Rulex does it better; Explainable AI in Life Sciences We distinguish between two types of explanation: : regarding governance of the AI solution, the best practices used, how it has been tested and trained, and why it’s robust and fair. : regarding each specific decision made by the AI solution. 100% explainable, AI solutions should provide both types of explanation.
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