(130)
4.4 out of 5
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Altair AI Studio Features
What are the features of Altair AI Studio?
Statistical Tool
- Scripting
- Data Mining
- Algorithms
Data Analysis
- Analysis
- Data Interaction
Decision Making
- Modeling
- Data Visualizations
- Report Generation
- Data Unification
Model Development
- Drag and Drop
- Pre-Built Algorithms
- Model Training
- Pre-Built Algorithms
System
- Data Ingestion & Wrangling
- Drag and Drop
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Altair AI Studio Categories on G2
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Reports
Reports Interface | Reports interface for standard and self-service reports is intuitive and easy to use. | Not enough data | |
Steps to Answer | Requires a minimal number of steps/clicks to answer business question. | Not enough data | |
Graphs and Charts | Offers a variety of attractive graph and chart formats. | Not enough data | |
Score Cards | Score cards visually track KPI's. | Not enough data | |
Dashboards | Provides business users an interface to easily design, refine and collaborate on their dashboards | Not enough data |
Self Service
Calculated Fields | Using formulas based on existing data elements, users can create and calculate new field values. | Not enough data | |
Data Column Filtering | Business users have the ability to filter data in a report based on predefined or automodeled parameters. | Not enough data | |
Data Discovery | Users can drill down and explore data to discover new insights. | Not enough data | |
Search | Ability to search global data set to find and discover data. | Not enough data | |
Collaboration / Workflow | Ability for users to share data and reports they have built within the BI tool and outside the tool through other collaboration platforms. | Not enough data | |
Automodeling | Tool automatically suggests data types, schemas and hierarchies. | Not enough data |
Advanced Analytics
Predictive Analytics | Analyze current and historical trends to make predictions about future events. | Not enough data | |
Data Visualization | Communicate complex information clearly and effectively through advanced graphical techniques. | Not enough data | |
Big Data Services | Ability to handle large, complex, and/or siloed data sets. | Not enough data |
Building Reports
Data Transformation | Converts data formats of source data into the format required for the reporting system without mistakes. | Not enough data | |
Data Modeling | Ability to (re)structure data in a manner that allows extracting insights fast and accurate. | Not enough data | |
WYSIWYG Report Design | Provides business users an interface to easily design and refine their dashboards and reports. (What You See Is What You Get) | Not enough data | |
Integration APIs | Application Programming Interface - Specification for how the application communicates with other software. API's typically enable integration of data, logic, objects, etc with other software applications. | Not enough data |
Statistical Tool
Scripting | Supports a variety of scripting environments This feature was mentioned in 176 Altair AI Studio reviews. | 79% (Based on 176 reviews) | |
Data Mining | As reported in 249 Altair AI Studio reviews. Mines data from databases and prepares data for analysis | 89% (Based on 249 reviews) | |
Algorithms | Based on 266 Altair AI Studio reviews. Applies statistical algorithms to selected data | 86% (Based on 266 reviews) |
Data Analysis
Analysis | Based on 283 Altair AI Studio reviews. Analyzes both structured and unstructured data | 88% (Based on 283 reviews) | |
Data Interaction | Interacts with data to prepare it for visualizations and models This feature was mentioned in 269 Altair AI Studio reviews. | 86% (Based on 269 reviews) |
Decision Making
Modeling | Offers modeling capabilities 275 reviewers of Altair AI Studio have provided feedback on this feature. | 89% (Based on 275 reviews) | |
Data Visualizations | Creates data visualizations or graphs 251 reviewers of Altair AI Studio have provided feedback on this feature. | 80% (Based on 251 reviews) | |
Report Generation | As reported in 254 Altair AI Studio reviews. Generates reports of data performance | 79% (Based on 254 reviews) | |
Data Unification | Unifies information on a singular platform This feature was mentioned in 226 Altair AI Studio reviews. | 82% (Based on 226 reviews) |
Model Development
Language Support | As reported in 32 Altair AI Studio reviews. Supports programming languages such as Java, C, or Python. Supports front-end languages such as HTML, CSS, and JavaScript | 76% (Based on 32 reviews) | |
Drag and Drop | Offers the ability for developers to drag and drop pieces of code or algorithms when building models This feature was mentioned in 56 Altair AI Studio reviews. | 91% (Based on 56 reviews) | |
Pre-Built Algorithms | As reported in 53 Altair AI Studio reviews. Provides users with pre-built algorithms for simpler model development | 85% (Based on 53 reviews) | |
Model Training | Supplies large data sets for training individual models 51 reviewers of Altair AI Studio have provided feedback on this feature. | 84% (Based on 51 reviews) | |
Pre-Built Algorithms | Provides users with pre-built algorithms for simpler model development This feature was mentioned in 52 Altair AI Studio reviews. | 88% (Based on 52 reviews) | |
Model Training | Based on 48 Altair AI Studio reviews. Supplies large data sets for training individual models | 85% (Based on 48 reviews) | |
Feature Engineering | Based on 46 Altair AI Studio reviews. Transforms raw data into features that better represent the underlying problem to the predictive models | 84% (Based on 46 reviews) |
Machine/Deep Learning Services
Computer Vision | Offers image recognition services 29 reviewers of Altair AI Studio have provided feedback on this feature. | 76% (Based on 29 reviews) | |
Natural Language Processing | As reported in 34 Altair AI Studio reviews. Offers natural language processing services | 78% (Based on 34 reviews) | |
Natural Language Generation | Offers natural language generation services This feature was mentioned in 22 Altair AI Studio reviews. | 74% (Based on 22 reviews) | |
Artificial Neural Networks | Based on 38 Altair AI Studio reviews. Offers artificial neural networks for users | 84% (Based on 38 reviews) | |
Computer Vision | Based on 25 Altair AI Studio reviews. Offers image recognition services | 78% (Based on 25 reviews) | |
Natural Language Understanding | Offers natural language understanding services 31 reviewers of Altair AI Studio have provided feedback on this feature. | 75% (Based on 31 reviews) | |
Natural Language Generation | Offers natural language generation services 24 reviewers of Altair AI Studio have provided feedback on this feature. | 74% (Based on 24 reviews) | |
Deep Learning | Provides deep learning capabilities This feature was mentioned in 35 Altair AI Studio reviews. | 83% (Based on 35 reviews) |
Deployment
Managed Service | Based on 37 Altair AI Studio reviews. Manages the intelligent application for the user, reducing the need of infrastructure | 79% (Based on 37 reviews) | |
Application | Allows users to insert machine learning into operating applications This feature was mentioned in 36 Altair AI Studio reviews. | 83% (Based on 36 reviews) | |
Scalability | Provides easily scaled machine learning applications and infrastructure This feature was mentioned in 33 Altair AI Studio reviews. | 84% (Based on 33 reviews) | |
Managed Service | Manages the intelligent application for the user, reducing the need of infrastructure This feature was mentioned in 30 Altair AI Studio reviews. | 82% (Based on 30 reviews) | |
Application | Allows users to insert machine learning into operating applications 32 reviewers of Altair AI Studio have provided feedback on this feature. | 83% (Based on 32 reviews) | |
Scalability | Provides easily scaled machine learning applications and infrastructure This feature was mentioned in 29 Altair AI Studio reviews. | 86% (Based on 29 reviews) |
System
Data Ingestion & Wrangling | As reported in 51 Altair AI Studio reviews. Gives user ability to import a variety of data sources for immediate use | 85% (Based on 51 reviews) | |
Language Support | Supports programming languages such as Java, C, or Python. Supports front-end languages such as HTML, CSS, and JavaScript 28 reviewers of Altair AI Studio have provided feedback on this feature. | 80% (Based on 28 reviews) | |
Drag and Drop | Based on 49 Altair AI Studio reviews. Offers the ability for developers to drag and drop pieces of code or algorithms when building models | 92% (Based on 49 reviews) |
Data Preparation
Connectors | Ability to connect the analytics platform with a wide range of connector options for common data sources, including popular enterprise applications. | Not enough data | |
Data Governance | Connects to enterprise data governance software, or provides integrated data governance features to avoid misuse of data | Not enough data |
Data Modeling and Blending
Data Querying | Using formulas based on existing data elements, users can create and calculate new field values | Not enough data | |
Data Filtering | Business users have the ability to filter data in a report based on predefined or automodeled parameters. | Not enough data | |
Data Blending | Allows the user to combine data from multiple sources into a functioning dataset. | Not enough data |
Setup
Integration | Provides the ability to import data from a variety of sources and in multiple data formats. | Not enough data | |
Maintenance | Consistently maintains, updates, and tests data sources to ensure quality. | Not enough data | |
No-Code | Allows users to analyze data easily without the need to code. | Not enough data |
Data
Security | Ensures privacy and security of customer data. | Not enough data | |
Data Visualization | Visualizes text data through charts and graphs. | Not enough data |
Analysis
Automation | Automates back-end technical manual processes. | Not enough data | |
Named entity recognition | Identifies entities such as organization, person name, location, etc | Not enough data | |
Keyphrase Extraction | Extracts keyphrases to determine patterns and themes within text. | Not enough data | |
Topic Analysis | Automatically identifies and organizes text based on topic or subject matter. | Not enough data | |
Sentiment Analysis | Utilizes sentiment analysis to capture user feedback. | Not enough data | |
Language Identification | Identifies the language in which text was written in. | Not enough data | |
Syntax/Part of Speech Parsing | Provides the ability to identify syntax and parts of speech. | Not enough data |
Customization
Pre-Built Parameterization | Allow capabilities to be customized (key-phrase, topics, sentiment, named entity) by adding keywords or exceptions. | Not enough data | |
Custom Extension | Allow user to add custom functions to Analysis capabilities | Not enough data | |
Compositionality | User created models can be used as features/pre-built in other models | 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 | |
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-to-Image | Provides the ability to generate images from a text prompt. | Not enough data |
Scalability and Performance - Generative AI Infrastructure
AI High Availability | Ensures that the service is reliable and available when needed, minimizing downtime and service interruptions. | Not enough data | |
AI Model Training Scalability | Allows the user to scale the training of models efficiently, making it easier to deal with larger datasets and more complex models. | Not enough data | |
AI Inference Speed | Provides the user the ability to get quick and low-latency responses during the inference stage, which is critical for real-time applications. | Not enough data |
Cost and Efficiency - Generative AI Infrastructure
AI Cost per API Call | Offers the user a transparent pricing model for API calls, enabling better budget planning and cost control. | Not enough data | |
AI Resource Allocation Flexibility | Provides the user the ability to allocate computational resources based on demand, making it cost-effective. | Not enough data | |
AI Energy Efficiency | Allows the user to minimize energy usage during both training and inference, which is becoming increasingly important for sustainable operations. | Not enough data |
Integration and Extensibility - Generative AI Infrastructure
AI Multi-cloud Support | Offers the user the flexibility to deploy across multiple cloud providers, reducing the risk of vendor lock-in. | Not enough data | |
AI Data Pipeline Integration | Provides the user the ability to seamlessly connect with various data sources and pipelines, simplifying data ingestion and pre-processing. | Not enough data | |
AI API Support and Flexibility | Allows the user to easily integrate the generative AI models into existing workflows and systems via APIs. | Not enough data |
Security and Compliance - Generative AI Infrastructure
AI GDPR and Regulatory Compliance | Helps the user maintain compliance with GDPR and other data protection regulations, which is crucial for businesses operating globally. | Not enough data | |
AI Role-based Access Control | Allows the user to set up access controls based on roles within the organization, enhancing security. | Not enough data | |
AI Data Encryption | Ensures that data is encrypted during transit and at rest, providing an additional layer of security. | Not enough data |
Usability and Support - Generative AI Infrastructure
AI Documentation Quality | Provides the user with comprehensive and clear documentation, aiding in quicker adoption and troubleshooting. | Not enough data | |
AI Community Activity | Allows the user to gauge the level of community support and third-party extensions available, which can be useful for problem-solving and extending functionality. | Not enough data |
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