Vertex AI Features
What are the features of Vertex AI?
Model Development
- Language Support
- Drag and Drop
- Pre-Built Algorithms
- Model Training
Machine/Deep Learning Services
- Computer Vision
- Natural Language Processing
- Natural Language Generation
- Artificial Neural Networks
- Computer Vision
Deployment
- Managed Service
- Application
- Scalability
System
- Data Ingestion & Wrangling
- Language Support
- Drag and Drop
Vertex AI Categories on G2
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Model Development
Language Support | As reported in 166 Vertex AI reviews. Supports programming languages such as Java, C, or Python. Supports front-end languages such as HTML, CSS, and JavaScript | 84% (Based on 166 reviews) | |
Drag and Drop | As reported in 143 Vertex AI reviews. Offers the ability for developers to drag and drop pieces of code or algorithms when building models | 79% (Based on 143 reviews) | |
Pre-Built Algorithms | Provides users with pre-built algorithms for simpler model development 164 reviewers of Vertex AI have provided feedback on this feature. | 85% (Based on 164 reviews) | |
Model Training | Based on 166 Vertex AI reviews. Supplies large data sets for training individual models | 85% (Based on 166 reviews) | |
Pre-Built Algorithms | Provides users with pre-built algorithms for simpler model development This feature was mentioned in 131 Vertex AI reviews. | 84% (Based on 131 reviews) | |
Model Training | As reported in 133 Vertex AI reviews. Supplies large data sets for training individual models | 85% (Based on 133 reviews) | |
Feature Engineering | Based on 131 Vertex AI reviews. Transforms raw data into features that better represent the underlying problem to the predictive models | 84% (Based on 131 reviews) |
Machine/Deep Learning Services
Computer Vision | Based on 164 Vertex AI reviews. Offers image recognition services | 83% (Based on 164 reviews) | |
Natural Language Processing | Offers natural language processing services This feature was mentioned in 160 Vertex AI reviews. | 85% (Based on 160 reviews) | |
Natural Language Generation | Offers natural language generation services 159 reviewers of Vertex AI have provided feedback on this feature. | 82% (Based on 159 reviews) | |
Artificial Neural Networks | Offers artificial neural networks for users This feature was mentioned in 142 Vertex AI reviews. | 83% (Based on 142 reviews) | |
Computer Vision | Based on 134 Vertex AI reviews. Offers image recognition services | 84% (Based on 134 reviews) | |
Natural Language Understanding | Offers natural language understanding services This feature was mentioned in 131 Vertex AI reviews. | 85% (Based on 131 reviews) | |
Natural Language Generation | Offers natural language generation services This feature was mentioned in 129 Vertex AI reviews. | 83% (Based on 129 reviews) | |
Deep Learning | Provides deep learning capabilities 130 reviewers of Vertex AI have provided feedback on this feature. | 84% (Based on 130 reviews) |
Deployment
Managed Service | Based on 157 Vertex AI reviews. Manages the intelligent application for the user, reducing the need of infrastructure | 83% (Based on 157 reviews) | |
Application | Allows users to insert machine learning into operating applications 158 reviewers of Vertex AI have provided feedback on this feature. | 83% (Based on 158 reviews) | |
Scalability | Provides easily scaled machine learning applications and infrastructure This feature was mentioned in 157 Vertex AI reviews. | 86% (Based on 157 reviews) | |
Language Flexibility | Allows users to input models built in a variety of languages. 64 reviewers of Vertex AI have provided feedback on this feature. | 84% (Based on 64 reviews) | |
Framework Flexibility | Allows users to choose the framework or workbench of their preference. This feature was mentioned in 65 Vertex AI reviews. | 82% (Based on 65 reviews) | |
Versioning | Records versioning as models are iterated upon. 65 reviewers of Vertex AI have provided feedback on this feature. | 84% (Based on 65 reviews) | |
Ease of Deployment | Provides a way to quickly and efficiently deploy machine learning models. This feature was mentioned in 61 Vertex AI reviews. | 84% (Based on 61 reviews) | |
Scalability | As reported in 61 Vertex AI reviews. Offers a way to scale the use of machine learning models across an enterprise. | 88% (Based on 61 reviews) | |
Managed Service | Manages the intelligent application for the user, reducing the need of infrastructure This feature was mentioned in 129 Vertex AI reviews. | 83% (Based on 129 reviews) | |
Application | Allows users to insert machine learning into operating applications This feature was mentioned in 130 Vertex AI reviews. | 83% (Based on 130 reviews) | |
Scalability | Based on 131 Vertex AI reviews. Provides easily scaled machine learning applications and infrastructure | 84% (Based on 131 reviews) | |
Language Flexibility | Based on 65 Vertex AI reviews. Allows users to input models built in a variety of languages. | 85% (Based on 65 reviews) | |
Framework Flexibility | Based on 64 Vertex AI reviews. Allows users to choose the framework or workbench of their preference. | 83% (Based on 64 reviews) | |
Versioning | Based on 63 Vertex AI reviews. Records versioning as models are iterated upon. | 84% (Based on 63 reviews) | |
Ease of Deployment | Provides a way to quickly and efficiently deploy machine learning models. This feature was mentioned in 63 Vertex AI reviews. | 85% (Based on 63 reviews) | |
Scalability | As reported in 61 Vertex AI reviews. Offers a way to scale the use of machine learning models across an enterprise. | 88% (Based on 61 reviews) |
Management
Cataloging | As reported in 61 Vertex AI reviews. Records and organizes all machine learning models that have been deployed across the business. | 84% (Based on 61 reviews) | |
Monitoring | Tracks the performance and accuracy of machine learning models. 60 reviewers of Vertex AI have provided feedback on this feature. | 85% (Based on 60 reviews) | |
Governing | As reported in 61 Vertex AI reviews. Provisions users based on authorization to both deploy and iterate upon machine learning models. | 81% (Based on 61 reviews) | |
Model Registry | As reported in 61 Vertex AI reviews. Allows users to manage model artifacts and tracks which models are deployed in production. | 82% (Based on 61 reviews) | |
Cataloging | Records and organizes all machine learning models that have been deployed across the business. This feature was mentioned in 60 Vertex AI reviews. | 83% (Based on 60 reviews) | |
Monitoring | Based on 61 Vertex AI reviews. Tracks the performance and accuracy of machine learning models. | 85% (Based on 61 reviews) | |
Governing | Based on 60 Vertex AI reviews. Provisions users based on authorization to both deploy and iterate upon machine learning models. | 84% (Based on 60 reviews) |
System
Data Ingestion & Wrangling | As reported in 136 Vertex AI reviews. Gives user ability to import a variety of data sources for immediate use | 83% (Based on 136 reviews) | |
Language Support | Based on 138 Vertex AI reviews. Supports programming languages such as Java, C, or Python. Supports front-end languages such as HTML, CSS, and JavaScript | 82% (Based on 138 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 133 Vertex AI reviews. | 79% (Based on 133 reviews) |
Operations
Metrics | Based on 61 Vertex AI reviews. Control model usage and performance in production | 83% (Based on 61 reviews) | |
Infrastructure management | Deploy mission-critical ML applications where and when you need them This feature was mentioned in 62 Vertex AI reviews. | 85% (Based on 62 reviews) | |
Collaboration | As reported in 62 Vertex AI reviews. Easily compare experiments—code, hyperparameters, metrics, predictions, dependencies, system metrics, and more—to understand differences in model performance. | 85% (Based on 62 reviews) |
Generative AI
AI Text Generation | Allows users to generate text based on a text prompt. 26 reviewers of Vertex AI have provided feedback on this feature. | 81% (Based on 26 reviews) | |
AI Text Summarization | Condenses long documents or text into a brief summary. 26 reviewers of Vertex AI have provided feedback on this feature. | 85% (Based on 26 reviews) | |
AI Text Generation | As reported in 67 Vertex AI reviews. Allows users to generate text based on a text prompt. | 82% (Based on 67 reviews) | |
AI Text Summarization | Condenses long documents or text into a brief summary. This feature was mentioned in 67 Vertex AI reviews. | 85% (Based on 67 reviews) | |
AI Text-to-Image | As reported in 68 Vertex AI reviews. Provides the ability to generate images from a text prompt. | 82% (Based on 68 reviews) |
Scalability and Performance - Generative AI Infrastructure
AI High Availability | Ensures that the service is reliable and available when needed, minimizing downtime and service interruptions. This feature was mentioned in 18 Vertex AI reviews. | 92% (Based on 18 reviews) | |
AI Model Training Scalability | Based on 18 Vertex AI reviews. Allows the user to scale the training of models efficiently, making it easier to deal with larger datasets and more complex models. | 87% (Based on 18 reviews) | |
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. This feature was mentioned in 18 Vertex AI reviews. | 87% (Based on 18 reviews) |
Cost and Efficiency - Generative AI Infrastructure
AI Cost per API Call | Based on 18 Vertex AI reviews. Offers the user a transparent pricing model for API calls, enabling better budget planning and cost control. | 81% (Based on 18 reviews) | |
AI Resource Allocation Flexibility | Provides the user the ability to allocate computational resources based on demand, making it cost-effective. 18 reviewers of Vertex AI have provided feedback on this feature. | 81% (Based on 18 reviews) | |
AI Energy Efficiency | As reported in 18 Vertex AI reviews. Allows the user to minimize energy usage during both training and inference, which is becoming increasingly important for sustainable operations. | 84% (Based on 18 reviews) |
Integration and Extensibility - Generative AI Infrastructure
AI Multi-cloud Support | As reported in 18 Vertex AI reviews. Offers the user the flexibility to deploy across multiple cloud providers, reducing the risk of vendor lock-in. | 86% (Based on 18 reviews) | |
AI Data Pipeline Integration | Based on 18 Vertex AI reviews. Provides the user the ability to seamlessly connect with various data sources and pipelines, simplifying data ingestion and pre-processing. | 82% (Based on 18 reviews) | |
AI API Support and Flexibility | Allows the user to easily integrate the generative AI models into existing workflows and systems via APIs. This feature was mentioned in 18 Vertex AI reviews. | 87% (Based on 18 reviews) |
Security and Compliance - Generative AI Infrastructure
AI GDPR and Regulatory Compliance | As reported in 18 Vertex AI reviews. Helps the user maintain compliance with GDPR and other data protection regulations, which is crucial for businesses operating globally. | 88% (Based on 18 reviews) | |
AI Role-based Access Control | Allows the user to set up access controls based on roles within the organization, enhancing security. 18 reviewers of Vertex AI have provided feedback on this feature. | 84% (Based on 18 reviews) | |
AI Data Encryption | As reported in 18 Vertex AI reviews. Ensures that data is encrypted during transit and at rest, providing an additional layer of security. | 93% (Based on 18 reviews) |
Usability and Support - Generative AI Infrastructure
AI Documentation Quality | Provides the user with comprehensive and clear documentation, aiding in quicker adoption and troubleshooting. This feature was mentioned in 18 Vertex AI reviews. | 85% (Based on 18 reviews) | |
AI Community Activity | Based on 18 Vertex AI reviews. 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. | 84% (Based on 18 reviews) |
Integration - Machine Learning
Integration | Based on 52 Vertex AI reviews. Supports integration with multiple data sources for seamless data input. | 86% (Based on 52 reviews) |
Learning - Machine Learning
Training Data | Enhances output accuracy and speed through efficient ingestion and processing of training data. This feature was mentioned in 51 Vertex AI reviews. | 86% (Based on 51 reviews) | |
Actionable Insights | Based on 50 Vertex AI reviews. Generates actionable insights by applying learned patterns to key issues. | 84% (Based on 50 reviews) | |
Algorithm | Based on 51 Vertex AI reviews. Continuously improves and adapts to new data using specified algorithms. | 88% (Based on 51 reviews) |
Prompt Engineering - Large Language Model Operationalization (LLMOps)
Prompt Optimization Tools | As reported in 16 Vertex AI reviews. Provides users with the ability to test and optimize prompts to improve LLM output quality and efficiency. | 89% (Based on 16 reviews) | |
Template Library | Based on 16 Vertex AI reviews. Gives users a collection of reusable prompt templates for various LLM tasks to accelerate development and standardize output. | 88% (Based on 16 reviews) |
Model Garden - Large Language Model Operationalization (LLMOps)
Model Comparison Dashboard | Based on 16 Vertex AI reviews. Offers tools for users to compare multiple LLMs side-by-side based on performance, speed, and accuracy metrics. | 91% (Based on 16 reviews) |
Custom Training - Large Language Model Operationalization (LLMOps)
Fine-Tuning Interface | Provides users with a user-friendly interface for fine-tuning LLMs on their specific datasets, allowing better alignment with business needs. This feature was mentioned in 16 Vertex AI reviews. | 90% (Based on 16 reviews) |
Application Development - Large Language Model Operationalization (LLMOps)
SDK & API Integrations | Based on 16 Vertex AI reviews. Gives users tools to integrate LLM functionality into their existing applications through SDKs and APIs, simplifying development. | 92% (Based on 16 reviews) |
Model Deployment - Large Language Model Operationalization (LLMOps)
One-Click Deployment | Offers users the capability to deploy models quickly to production environments with minimal effort and configuration. This feature was mentioned in 16 Vertex AI reviews. | 91% (Based on 16 reviews) | |
Scalability Management | Based on 16 Vertex AI reviews. Provides users with tools to automatically scale LLM resources based on demand, ensuring efficient usage and cost-effectiveness. | 84% (Based on 16 reviews) |
Guardrails - Large Language Model Operationalization (LLMOps)
Content Moderation Rules | Gives users the ability to set boundaries and filters to prevent inappropriate or sensitive outputs from the LLM. This feature was mentioned in 15 Vertex AI reviews. | 90% (Based on 15 reviews) | |
Policy Compliance Checker | Offers users tools to ensure their LLMs adhere to compliance standards such as GDPR, HIPAA, and other regulations, reducing risk and liability. 15 reviewers of Vertex AI have provided feedback on this feature. | 90% (Based on 15 reviews) |
Model Monitoring - Large Language Model Operationalization (LLMOps)
Drift Detection Alerts | Based on 15 Vertex AI reviews. Gives users notifications when the LLM performance deviates significantly from expected norms, indicating potential model drift or data issues. | 90% (Based on 15 reviews) | |
Real-Time Performance Metrics | Provides users with live insights into model accuracy, latency, and user interaction, helping them identify and address issues promptly. This feature was mentioned in 15 Vertex AI reviews. | 92% (Based on 15 reviews) |
Security - Large Language Model Operationalization (LLMOps)
Data Encryption Tools | Provides users with encryption capabilities for data in transit and at rest, ensuring secure communication and storage when working with LLMs. 16 reviewers of Vertex AI have provided feedback on this feature. | 92% (Based on 16 reviews) | |
Access Control Management | Offers users tools to set access permissions for different roles, ensuring only authorized personnel can interact with or modify LLM resources. 16 reviewers of Vertex AI have provided feedback on this feature. | 88% (Based on 16 reviews) |
Gateways & Routers - Large Language Model Operationalization (LLMOps)
Request Routing Optimization | Provides users with middleware to route requests efficiently to the appropriate LLM based on criteria like cost, performance, or specific use cases. 16 reviewers of Vertex AI have provided feedback on this feature. | 89% (Based on 16 reviews) |
Inference Optimization - Large Language Model Operationalization (LLMOps)
Batch Processing Support | As reported in 16 Vertex AI reviews. Gives users tools to process multiple inputs in parallel, improving inference speed and cost-effectiveness for high-demand scenarios. | 89% (Based on 16 reviews) |
Customization - AI Agent Builders
Natural Language Configuration | Supports configuration using natural language instructions. This feature was mentioned in 17 Vertex AI reviews. | 85% (Based on 17 reviews) | |
Tone Customization | Based on 17 Vertex AI reviews. Allows users to customize the tone of agent. | 75% (Based on 17 reviews) | |
Security Guardrails | Enables definition of clear security guardrails for agent actions. This feature was mentioned in 16 Vertex AI reviews. | 82% (Based on 16 reviews) |
Functionality - AI Agent Builders
Omni-channel Support | As reported in 17 Vertex AI reviews. Provides support across web, mobile, messaging apps, and other channels. | 79% (Based on 17 reviews) | |
Agent Branding | Allows customization of agent branding, including visual appearance and conversational style. 17 reviewers of Vertex AI have provided feedback on this feature. | 68% (Based on 17 reviews) | |
Proactive Response Capabilities | Based on 16 Vertex AI reviews. Equips agents with proactive response capabilities based on predefined triggers. | 83% (Based on 16 reviews) | |
Seamless Human Escalation | Facilitates seamless escalation to human employees for complex issues. 17 reviewers of Vertex AI have provided feedback on this feature. | 68% (Based on 17 reviews) |
Data and Analytics - AI Agent Builders
Analytics & Reporting | Provides analytics and reporting on agent performance and interactions. 16 reviewers of Vertex AI have provided feedback on this feature. | 76% (Based on 16 reviews) | |
Contextual Awareness | As reported in 17 Vertex AI reviews. Offers agents the ability to maintain contextual awareness across interactions. | 78% (Based on 17 reviews) | |
Data Privacy Compliance | Based on 17 Vertex AI reviews. Ensures compliance with data privacy and governance requirements. | 79% (Based on 17 reviews) |
Integration - AI Agent Builders
Workflow Automation | Based on 17 Vertex AI reviews. Automates workflows and actions based on agent responses. | 88% (Based on 17 reviews) | |
API Usage | As reported in 17 Vertex AI reviews. Allows the use of APIs for advanced agent configuration. | 78% (Based on 17 reviews) | |
Platform Interoperability | As reported in 17 Vertex AI reviews. Enables interoperability with multiple platforms for unified experiences. | 81% (Based on 17 reviews) | |
CRM Data Integration | As reported in 17 Vertex AI reviews. Allows integration with CRM data to ground agent responses in business context. | 75% (Based on 17 reviews) |
Agentic AI - Data Science and Machine Learning Platforms
Autonomous Task Execution | Capability to perform complex tasks without constant human input | Not enough data | |
Multi-step Planning | Ability to break down and plan multi-step processes | Not enough data | |
Cross-system Integration | Works across multiple software systems or databases | Not enough data | |
Adaptive Learning | Improves performance based on feedback and experience | Not enough data | |
Natural Language Interaction | Engages in human-like conversation for task delegation | Not enough data | |
Proactive Assistance | Anticipates needs and offers suggestions without prompting | Not enough data | |
Decision Making | Makes informed choices based on available data and objectives | Not enough data |
