Artificial Intelligence (AI) 3rd-Party Platform
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Artificial Intelligence (AI) 3rd-Party Platform is a software platform that facilitates the creation of AI-based systems.
- Context:
- It can range from being a General AI Platform designed for multiple purposes to being a Task-Specific AI Platform optimized for particular use cases.
- It can range from being a Cloud-Based AI Platform for scalability and remote access, to being an On-Premise AI Platform for secure and local processing, to being a Cloud/On-Prem Hybrid AI Platform offering both options.
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- It can include an ML Platform.
- It can offer scalable computing resources to handle large datasets and complex computations.
- It can be accessed by an AI Platform API.
- It can integrate with data sources, frameworks, and libraries to streamline AI development processes.
- It can offer Pre-Built AI Models and Pre-Built AI System Templates.
- It can offer AI System Observability Systems.
- It can support the entire lifecycle of an AI solution, from data preprocessing to model deployment and monitoring.
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- Example(s):
- a General Cloud-based AI Platform, such as:
- a Task-Specific Cloud-based AI Platform, such as:
- Conversational AI Platforms, such as: ...
- Bing Chat Enterprise, which is designed to provide AI-powered customer service and internal support for enterprises.
- Salesforce Einstein, which offers AI-driven analytics and predictions specifically for customer relationship management (CRM) tasks.
- Cognigy.AI, a platform focused on automating customer interactions using conversational AI.
- Kore.ai XO Platform, which provides tailored conversational AI solutions for automating enterprise workflows.
- Yellow.ai, which enables AI-powered customer and employee engagement across multiple communication channels.
- Boost.ai, a platform designed for automating customer support and improving operational efficiency through AI-driven virtual agents.
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- Counter-Example(s):
- See: Machine Learning Framework, Deep Learning Library, Cloud Computing Platform, AI Model.