[ Plutoshift Reviews ](https://www.g2.com/products/plutoshift-plutoshift/reviews) [ Plutoshift Reviews ](https://www.g2.com/products/plutoshift-plutoshift/reviews) # Plutoshift Features ##### ## Statistical Tool (3) Scripting Supports a variety of scripting environments Data Mining Mines data from databases and prepares data for analysis Algorithms Applies statistical algorithms to selected data Show More ##### ## Data Analysis (2) Analysis Analyzes both structured and unstructured data Data Interaction Interacts with data to prepare it for visualizations and models Show More ##### ## Decision Making (4) Modeling Offers modeling capabilities Data Visualizations Creates data visualizations or graphs Report Generation Generates reports of data performance Data Unification Unifies information on a singular platform Show More ##### ## Data Management (5) Aggregation Consolidate manufacturing information from multiple sources Data Models Structure data using hierarchies to make it easier to use and manage Propagation Ability to trasnfer data between shop floor systems and software products Data Collection Provide features for manual and automated data collection Cleansing Process manufacturing information to remove errors and duplicated data Show More ##### ## Analytics (7) KPIs Include standard KPIs to monitor manufacturing quality Real Time Deliver real time data on manufacturing operations and processes Dashboards Customizable dashboards display KPIs and metrics in real time Queries Run detailed queries for searching, sorting, and analyzing data. Dashboards Create personalized dashboards for observing and interacting with data. Visualizations Contains tools to visualize data sets or workflows. Insights Offers actionable insights or relevant findings from unstructured data sets. Show More ##### ## Deployment (10) Language Flexibility Allows users to input models built in a variety of languages. Framework Flexibility Allows users to choose the framework or workbench of their preference. Versioning Records versioning as models are iterated upon. Ease of Deployment Provides a way to quickly and efficiently deploy machine learning models. Scalability Offers a way to scale the use of machine learning models across an enterprise. Language Flexibility Allows users to input models built in a variety of languages. Framework Flexibility Allows users to choose the framework or workbench of their preference. Versioning Records versioning as models are iterated upon. Ease of Deployment Provides a way to quickly and efficiently deploy machine learning models. Scalability Offers a way to scale the use of machine learning models across an enterprise. Show More ##### ## Management (7) Cataloging Records and organizes all machine learning models that have been deployed across the business. Monitoring Tracks the performance and accuracy of machine learning models. Governing Provisions users based on authorization to both deploy and iterate upon machine learning models. Model Registry Allows users to manage model artifacts and tracks which models are deployed in production. Cataloging Records and organizes all machine learning models that have been deployed across the business. Monitoring Tracks the performance and accuracy of machine learning models. Governing Provisions users based on authorization to both deploy and iterate upon machine learning models. Show More ##### ## Data Sources (3) Pre-Built Connectors Provides useful pre-defined data connections to various types of IoT sensors and objects. API Provides a robust external interface for integrating data, logic and workflows with other software applications. Performance and Stability Maintains an efficient, reliable data flow with established sources. Show More ##### ## Metrics (4) Device Performance Track the individual performance of connected devices. Operational Performance Learn about overall operational performance from device observations. Environmental Conditions Make observations about environmental and workplace conditions. Resource Usage Measure the usage of and/or demand for various resources. Show More ##### ## Operations (3) Metrics Control model usage and performance in production Infrastructure management Deploy mission-critical ML applications where and when you need them Collaboration Easily compare experiments—code, hyperparameters, metrics, predictions, dependencies, system metrics, and more—to understand differences in model performance. Show More ##### ## Generative AI (4) AI Text Generation Allows users to generate text based on a text prompt. AI Text Summarization Condenses long documents or text into a brief summary. AI Text Generation Allows users to generate text based on a text prompt. AI Text Summarization Condenses long documents or text into a brief summary. 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