The following is a categorized list of AI tools and platforms, along with their key applications. 

1. General-Purpose AI Platforms (Cloud-based)

These platforms offer a wide array of AI services for development, deployment, and scaling of AI models and applications: 

• Vertex AI: Google's unified platform for machine learning model training and deployment.
• Microsoft Azure AI: A comprehensive suite of AI services, including tools for building generative AI models and apps.
• Amazon SageMaker: A fully managed service for developing, training, and deploying machine learning models at scale.
• IBM Watsonx (formerly IBM Watson): Combines generative AI and traditional ML for building and deploying AI models.
• Google Cloud AI Platform: Integrates AI functionalities within Google Cloud services, offering tools like AutoML.
• H2O.ai: A cloud-based AI solution for extracting insights from data and increasing productivity. 

2. Machine Learning Frameworks and Libraries 

These open-source tools provide the building blocks for developing machine learning models: 

• TensorFlow: An open-source library for building and deploying ML models across various environments.
• PyTorch: A deep learning framework favored for its flexibility and ease of use in research and development.
• Keras: A user-friendly neural network library, often used on top of TensorFlow.
• Scikit-learn: A Python library for data science and predictive analysis, offering various algorithms.
• Hugging Face Transformers: Provides pre-trained models for Natural Language Processing (NLP) tasks. 

3. Conversational AI Platforms

These platforms enable the creation of chatbots and virtual assistants for engaging in natural language conversations: 

• Rasa: An open-source platform for building customizable conversational AI chatbots and assistants.
• OpenAI ChatGPT: A well-known chatbot capable of generating text and images.
• Claude.ai: An AI assistant focused on security and data privacy, capable of processing large amounts of data and automating tasks.
• IBM Watson Assistant: A platform for developing conversational AI applications. 

4. Data Analysis and Visualization Tools

AI-powered tools enhance data analysis, visualization, and insight generation: 

• Domo: A data platform with AI-powered data visualization tools.
• Zoho Analytics: An AI-powered BI and data analytics platform with strong data visualization capabilities.
• ThoughtSpot: Combines AI with a search-based interface for data analysis.
• Tableau: A data visualization tool with integrated AI capabilities.
• Microsoft Power BI: Offers AI-powered data visualization and business intelligence features. 

5. Tools for Specific AI Tasks 

This category encompasses tools designed for specialized AI applications:

• AI Productivity Tools: Tools for enhancing tasks like research, writing, and presentation creation.
• AI Video Tools: Used for creating, editing, and enhancing videos.
• AI Text Generators: Tools for generating various types of text content.
• AI Image Tools: Tools for generating and editing images.
• AI Audio Generators: Tools for creating and editing audio content.
• AI Code Tools: Assist with code writing and development, including low-code/no-code options. 

6. AI Learning Platforms

These platforms utilize AI to personalize and improve the learning experience: 

• 360Learning: An AI-powered collaborative learning platform combining features of an LMS, LXP, and Academies.
• Docebo: A user-friendly, cloud-based platform for training, including AI-driven features like Deep Search and Auto-Tagging.
• Sana Labs: Facilitates knowledge sharing and application through AI-powered search and real-time queries. 

7. Other Notable AI Platforms and Tools:

• Databricks Lakehouse Platform: A hybrid data architecture for large-scale analytics and AI workloads.
• Alteryx Intelligence Suite: Offers data blending and advanced analytics capabilities.
• DataRobot: An AI platform designed for automated machine learning.
• OpenCV: An open-source library focused on computer vision tasks.
• NLTK (Natural Language Toolkit): A library for working with human language data in NLP. 

This list provides an overview of available AI platforms and tools, categorized to help you understand their primary uses and capabilities.