AI Finds and Organizes Information
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Finds and organizes relevant information
AI finds relevant information
USE CASES
Iris.ai helps researchers find relevant information in scientific documents without having to know specific terms.
Fama checks applicants’ public digital presence to flag harmful online behavior as part of the screening processes.
Everlaw makes legal documents relevant to specific cases easily searchable and accessible. Similarly,
ROSS and CARA help legal research teams find tailored information.
TECHNICAL TERMS
Machine learning: natural language processing
Key technologies: topic modeling, semantic search, text summarization
Here's a video example
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Finds and organizes relevant information
AI finds specific information
USE CASES
Xplenty and RapidMiner find specific information, such as customers with specific buying habits (e.g., all customers that buy a particular product at a certain time of day).
Jina AI finds information in large databases, consi- dering the intent and contextual meaning of search queries.
Jus Mundi helps law professionals find information relevant to their research in international law.
TECHNICAL TERMS
Machine learning: data mining, natural language processing
Key technologies: clustering, classification, deep neural networks, named entity recognition, semantic search
Here's a video example:
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Finds and organizes relevant information
AI sorts data into groups
USE CASES
TOMRA sorts physical items in food production and waste recycling using sensors and AI.
Gmail not only sorts emails into default groups or categories, including ‘Primary’, ‘Social’, ‘Promotions’, but also allows one to create custom categories.
Different kinds of behaviors that violate the terms of service of LinkedIn are automatically sorted into groups and remediated to maintain a safe and trusted community.
TECHNICAL TERMS
Machine learning: supervised learning
Key technologies: classification, object detection
03
Finds and organizes relevant information
AI creates and finds group segments
USE CASES
Appier’s platform helps businesses find and understand their target group through predictive audience segmentation.
Social Bakers finds the right actionable insights for businesses through social listening and by creating personas for different audiences.
Hubspot finds companies within specific industries.
Adobe Analytics Cloud and Salesforce provide customer segmentation as part of their AI-based marketing cloud Einstein.
TECHNICAL TERMS
Machine Learning: unsupervised learning and predictive analytics
Key technologies: association, clustering, customer segmentation, forecasting
04
Finds and organizes relevant information
AI labels (adds tags for algorithms to understand that data) and enhances data
USE CASES
Meta acquired AI.Reverie, which generates virtual worlds to synthesize data for any scenario to train machine learning and deep learning models at scale.
SuperAnnotate offers manual and automated data annotation tools for text, image, and video data of large volumes.
Scale AI annotates content, language, image, and video data.
TECHNICAL TERMS
Machine learning, deep learning: computer vision, generative models
Key technologies: generative adversarial networks, variational autoencoders, image recognition
Here's a video example:
05
Finds and organizes relevant information
AI turns unstructured data (e.g., emails) into structured data (e.g., excel sheets)
USE CASES
Amazon HealthLake organizes, indexes, and structures patient information to provide a complete view of the health of individuals and groups of patients.
Automation Hero extracts information (layout, characters, and intent) from PDF documents, and provides no-code tools to build information flows, so that they can be sent automatically to the relevant person or department.
Adoreboard analyses unstructured customer and employee feedback and turns it into structured business insights.
TECHNICAL TERMS
Machine learning: natural language processing
Key technologies: named entity recognition, keyword extraction, topic modeling, clustering
Here's a video example:
06
Finds and organizes relevant information
AI labels (adds tags for algorithms to understand that data) and enhances data
USE CASES
Meta acquired AI.Reverie, which generates virtual worlds to synthesize data for any scenario to train machine learning and deep learning models at scale.
SuperAnnotate offers manual and automated data annotation tools for text, image, and video data of large volumes.
Scale AI annotates content, language, image, and video data.
TECHNICAL TERMS
Machine learning, deep learning: computer vision, generative models
Key technologies: generative adversarial networks, variational autoencoders, image recognition
Here's a video example:
05
Finds and organizes relevant information
AI turns unstructured data (e.g., emails) into structured data (e.g., excel sheets)
USE CASES
Amazon HealthLake organizes, indexes, and structures patient information to provide a complete view of the health of individuals and groups of patients.
Automation Hero extracts information (layout, characters, and intent) from PDF documents, and provides no-code tools to build information flows, so that they can be sent automatically to the relevant person or department.
Adoreboard analyses unstructured customer and employee feedback and turns it into structured business insights.
TECHNICAL TERMS
Machine learning: natural language processing
Key technologies: named entity recognition, keyword extraction, topic modeling, clustering
Here's a video example:
06