(9)
4.7 out of 5
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Plutoshift
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Plutoshift Features
What are the features of Plutoshift?
Statistical Tool
- Scripting
- Data Mining
- Algorithms
Data Analysis
- Analysis
- Data Interaction
Decision Making
- Data Visualizations
- Report Generation
- Data Unification
Plutoshift Categories on G2
Filter for Features
Statistical Tool
Scripting | Based on 10 Plutoshift reviews. Supports a variety of scripting environments | 95% (Based on 10 reviews) | |
Data Mining | Mines data from databases and prepares data for analysis This feature was mentioned in 10 Plutoshift reviews. | 93% (Based on 10 reviews) | |
Algorithms | Based on 10 Plutoshift reviews. Applies statistical algorithms to selected data | 97% (Based on 10 reviews) |
Data Analysis
Analysis | Analyzes both structured and unstructured data This feature was mentioned in 10 Plutoshift reviews. | 98% (Based on 10 reviews) | |
Data Interaction | Interacts with data to prepare it for visualizations and models This feature was mentioned in 10 Plutoshift reviews. | 98% (Based on 10 reviews) |
Decision Making
Modeling | Offers modeling capabilities | Not enough data | |
Data Visualizations | Creates data visualizations or graphs This feature was mentioned in 10 Plutoshift reviews. | 97% (Based on 10 reviews) | |
Report Generation | Generates reports of data performance This feature was mentioned in 10 Plutoshift reviews. | 95% (Based on 10 reviews) | |
Data Unification | Unifies information on a singular platform This feature was mentioned in 10 Plutoshift reviews. | 93% (Based on 10 reviews) |
Data Management
Aggregation | Consolidate manufacturing information from multiple sources | Not enough data | |
Data Models | Structure data using hierarchies to make it easier to use and manage | Not enough data | |
Propagation | Ability to trasnfer data between shop floor systems and software products | Not enough data | |
Data Collection | Provide features for manual and automated data collection | Not enough data | |
Cleansing | Process manufacturing information to remove errors and duplicated data | Not enough data |
Analytics
KPIs | Include standard KPIs to monitor manufacturing quality | Not enough data | |
Real Time | Deliver real time data on manufacturing operations and processes | Not enough data | |
Dashboards | Customizable dashboards display KPIs and metrics in real time | Not enough data | |
Queries | Run detailed queries for searching, sorting, and analyzing data. | Not enough data | |
Dashboards | Create personalized dashboards for observing and interacting with data. | Not enough data | |
Visualizations | Contains tools to visualize data sets or workflows. | Not enough data | |
Insights | Offers actionable insights or relevant findings from unstructured data sets. | Not enough data |
Deployment
Language Flexibility | Allows users to input models built in a variety of languages. | Not enough data | |
Framework Flexibility | Allows users to choose the framework or workbench of their preference. | Not enough data | |
Versioning | Records versioning as models are iterated upon. | Not enough data | |
Ease of Deployment | Provides a way to quickly and efficiently deploy machine learning models. | Not enough data | |
Scalability | Offers a way to scale the use of machine learning models across an enterprise. | Not enough data | |
Language Flexibility | Allows users to input models built in a variety of languages. | Not enough data | |
Framework Flexibility | Allows users to choose the framework or workbench of their preference. | Not enough data | |
Versioning | Records versioning as models are iterated upon. | Not enough data | |
Ease of Deployment | Provides a way to quickly and efficiently deploy machine learning models. | Not enough data | |
Scalability | Offers a way to scale the use of machine learning models across an enterprise. | Not enough data |
Management
Cataloging | Records and organizes all machine learning models that have been deployed across the business. | Not enough data | |
Monitoring | Tracks the performance and accuracy of machine learning models. | Not enough data | |
Governing | Provisions users based on authorization to both deploy and iterate upon machine learning models. | Not enough data | |
Model Registry | Allows users to manage model artifacts and tracks which models are deployed in production. | Not enough data | |
Cataloging | Records and organizes all machine learning models that have been deployed across the business. | Not enough data | |
Monitoring | Tracks the performance and accuracy of machine learning models. | Not enough data | |
Governing | Provisions users based on authorization to both deploy and iterate upon machine learning models. | Not enough data |
Data Sources
Pre-Built Connectors | Provides useful pre-defined data connections to various types of IoT sensors and objects. | Not enough data | |
API | Provides a robust external interface for integrating data, logic and workflows with other software applications. | Not enough data | |
Performance and Stability | Maintains an efficient, reliable data flow with established sources. | Not enough data |
Metrics
Device Performance | Track the individual performance of connected devices. | Not enough data | |
Operational Performance | Learn about overall operational performance from device observations. | Not enough data | |
Environmental Conditions | Make observations about environmental and workplace conditions. | Not enough data | |
Resource Usage | Measure the usage of and/or demand for various resources. | Not enough data |
Operations
Metrics | Control model usage and performance in production | Not enough data | |
Infrastructure management | Deploy mission-critical ML applications where and when you need them | Not enough data | |
Collaboration | Easily compare experiments—code, hyperparameters, metrics, predictions, dependencies, system metrics, and more—to understand differences in model performance. | Not enough data |
Generative AI
AI Text Generation | Allows users to generate text based on a text prompt. | Not enough data | |
AI Text Summarization | Condenses long documents or text into a brief summary. | Not enough data | |
AI Text Generation | Allows users to generate text based on a text prompt. | Not enough data | |
AI Text Summarization | Condenses long documents or text into a brief summary. | Not enough data |
Agentic AI - Manufacturing Intelligence
Proactive Assistance | Anticipates needs and offers suggestions without prompting | Not enough data |
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