RTE Runner

RTE Runner is an artificial intelligence solution developed by Cybersoft North America Inc. According to the vendor, it is designed to analyze complex data, empower decision making, and enhance human and industrial productivity. This software solution is aimed at small to large-sized companies across various professions and industries, including data scientists and analysts, industrial engineers, manufacturing companies, logistics and supply chain companies, and financial institutions.

Key Features

According to the vendor, RTE Runner utilizes advanced algorithms and machine learning techniques to analyze complex data and provide valuable insights. It aims to automate the data science process, potentially reducing the burden on overwhelmed teams and breaking data silos to enable real-time predictions.

The vendor claims that RTE Runner can streamline data analysis processes and potentially increase productivity by automating the flow of data into deployed models. It dynamically creates model execution pipelines for real-time predictions, which can save time and resources.

According to the vendor, RTE Runner enables real-time predictions on incoming data, potentially providing instant insights and actionable information. It continuously analyzes live data streams, updates predictions in real-time, and sends alerts and notifications based on prediction confidence.

The vendor states that RTE Runner monitors the health of deployed models based on prediction confidence, aiming to ensure optimal performance and accuracy. It provides insights into model performance, identifies potential issues or anomalies, and enables proactive maintenance and troubleshooting.

According to the vendor, RTE Runner aims to facilitate data-driven decision making by analyzing large volumes of data, identifying patterns, and uncovering hidden relationships. It presents data in visualizations and reports, potentially making it easier for users to interpret and act upon the insights.

The vendor claims that RTE Runner creates intuitive data pipelines that feed live data into deployed models, aiming to enable real-time predictions on incoming data. It aims to break data silos and ensure a seamless flow of data for efficient analysis.

According to the vendor, RTE Runner allows the creation of automated data pipelines, potentially eliminating the need for manual intervention. It aims to automate the flow of data into deployed models, potentially reducing processing time and improving efficiency.

The vendor states that RTE Runner aims to monitor the health of deployed models based on prediction confidence, providing valuable information for model maintenance and ensuring consistent and accurate results.

According to the vendor, RTE Runner aims to automate repetitive tasks, potentially freeing up valuable human resources for more strategic work. It aims to save time and resources by streamlining data analysis processes and eliminating manual interventions.