AI-Supported Software System

An AI-Supported Software System is a data-driven software system that can solve AI-supported tasks.

• Context:
  • It can (typically) be supported by AI Technologies like ML algorithms, NLP algorithms, Computer Vision, GenAI algorithms, etc.
  • It can (often) be based on AI Platforms or AI Frameworks.
  • It can range from being an AI-Assisted Software System with limited AI to being an AI-Powered Software System where AI is a core component.
  • It can range from being a Domain-Specific AI System to being a Open-Domain AI System.
  • It can range from being an Human-Directed AI-Supported System to being an Autonomous AI-Supported System, depending on ...
  • …
• Example(s):
  • an AI-Powered Tool.
  • an AI Application such as a product recommendation system.
  • a Generative AI System that solves GenAI-supported tasks (creates original text, images, videos, etc.), such as an LLM-supported system.
  • a Corporate AI Chatbot for enterprise use.
  • a Conversational AI System like a customer support chatbot.
  • an AI-based Assistant.
  • an AI-Supported Image Editing Application.
  • a Domain-Specific AI-Supported System, such as:
    • an AI-Supported Healthcare System.
    • an AI Legal Tech System, such as a Legal Contract AI System.
  • an Autonomous Vehicle System that utilizes AI for perception and planning.
  • …
• Counter-Example(s):
  • a Database-Supported Software System that does not use AI techniques.
  • a Manual Software System with no intelligent automation.
  • …
• See: AI Application, Intelligent System, Cognitive System, Smart System.

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References

2023

• (ChatGPT, 2023) ⇒ "What is an "AI-Supported Software System"? Summarize in 2-3 paragraphs.” prompt. ChatGPT, September 25 Version, OpenAI, 8 Oct. 2023. https://chat.openai.com.
  • QUOTE: An AI-supported software system is a computer program or application that integrates artificial intelligence (AI) technologies and capabilities to enhance its functionality and provide more intelligent and efficient solutions to users. This type of software leverages machine learning algorithms, natural language processing, computer vision, and other AI techniques to process data, make predictions, automate tasks, and assist users in various ways.

     AI-supported software systems can be found across a wide range of industries and applications. For example, in customer service, AI chatbots are used to provide instant responses to customer inquiries. In healthcare, AI-supported diagnostic software can help doctors make more accurate diagnoses based on medical data. In finance, AI-powered trading algorithms can analyze market trends and execute trades autonomously. These systems often learn and adapt over time, becoming more proficient at their tasks as they are exposed to more data and user interactions.

    In essence, AI-supported software systems harness the power of artificial intelligence to augment human capabilities, improve decision-making, automate repetitive tasks, and provide more intelligent and personalized services across various domains, ultimately increasing efficiency and productivity.

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