Business
Below are several major categories—each illustrating how AI services are used in concrete ways.
Natural Language Processing & Understanding
- Text classification, sentiment analysis, topic extraction — e.g. tagging support tickets or social media messages.
- Named Entity Recognition (NER) — identifying names, places, dates in text.
- Machine Translation — converting text between languages.
- Summarization, question answering, and text generation — e.g. generating content drafts, chatbots, document summarization.
Conversational & Chatbot Platforms
These services power chat interfaces (text or voice) that understand and respond to users. They often include intent detection, multi-turn dialogue management, and integration with back-end systems. For example, one might embed a conversational agent in a website or app to answer user queries or assist with transactions.
https://overchat.ai/ is a platform in the conversational domain that demonstrates how AI services can power real-time chat automation without needing to build the low-level components oneself.
Computer Vision & Image/Video Processing
- Object detection / image classification — e.g. detecting products on a shelf, classifying medical images.
- Face recognition / facial attributes — identifying who is in a photo, or recognizing emotions.
- Optical Character Recognition (OCR) — extracting text from scanned documents or images.
- Image segmentation, video analytics, anomaly detection in videos.
Speech & Voice
- Speech-to-text transcription — converting spoken words into text.
- Text-to-speech synthesis — generating natural spoken voice from text, often with expressive tone.
- Speaker identification and diarization — recognizing who spoke when.
- Voice conversion, voice cloning — transforming voice style or mimicking a voice.