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Computer Vision
Natural Language Processing (NLP)
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Time Series
Sales Demand Forecast
This time series technique uses historical data to make forward-looking predictions such as revenue, sales, product volume, customer churn and more.
Computer Vision
Paper2Digital
Companies with years of data locked in legacy documents can now extract and use that data to fuel competitive advantage.
Computer Vision
Object Detection and Segmentation
Manually identifying and categorizing objects in video and image files requires significant time and effort.
Natural Language Processing (NLP)
Summarization
Summarization using natural language processing provides concise and descriptive summaries of long pieces of content, boosting efficiency and knowledge sharing.
Natural Language Processing (NLP)
Reading Comprehension
Reading comprehension can review and understand that text, allowing you to mine for the insights you need.
Natural Language Processing (NLP)
Explainable Sentiment Analysis
Predict a positive or negative sentiment score from given text. Explain the sentiment score by highlighting the words that contributed to the prediction.
Natural Language Processing (NLP)
Named Entity Recognition
Extract people, places, organizations, dates, money and many other entities from given text.
Computer Vision
Pose Estimation
Computer vision is used to detect people and identify key points (e.g. head, shoulder, body, hands, feet) and poses, enabling many applications such as gaming, sports analytics, and gesture control.