Data Sharing and Deep Data Analysis Social Network
A single, unique platform that allows users to obtain deep analysis of their data and to share this data and data analysis with other users.
Problem
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Social media users have limited ability to truly understand and interact with the data available to them
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Data is usually raw, providing little insight
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Social media hides insights and analyses for themselves
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Users must go and search manually for further information about a particular product, person or topic
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What should be a valuable resource to inform, inspire and empower users instead too often bores, confuses and misleads them
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No application is offering wide variety of different AI tools in one platform with a social component that enables users to share data with, and learn from, other users
Cortex solves this problem
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Users can share their data which is analysed using a wide variety of different AI modules and the analyses results are eventually shown to the user, everything through the mobile iOS or Android application
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Brings together a wide variety of deep analysis algorithms in one single platform
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Provides deep analysis results to users, so they can extract hidden knowledge from the wealth of data available
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Extracted hidden knowledge is not only reserved for the company itself, but is also exposed to users
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Enables users to see beyond the raw data, discover hidden knowledge and expand their horizons, using information to inform, inspire and empower
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Consists of four main parts: Social Network, Data Analysis, AutoML and Active Learning
1. Social Network:
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Mobile phone application (iOS and Android) and database containing information about the users, shared data and data analysis
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Users upload their data (image, video, audio and text) as a post
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Data is analysed using multiple AI modules in parallel
2. Data Analysis:
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Pipeline which takes uploaded data and analyses it using different AI modules in parallel
3. AutoML:
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Engine to build new AI modules or to fine-tune existing ones
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AutoML engine Artificial Intelligence Factory: https://www.piculjantechnologies.ai/artificial-intelligence-factory
4. Active Learning:
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Pipeline which allows correction of bad predictions
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Corrections are sent to AutoML to fine-tune existing model
Post Structure
Post contains a file (image, video, audio, text, ...) and a note.
