Fast Analytics - Fast Machine Learning Technology for Large Data Sets
Concept: Demand for Machine learning, data mining, predictive analytics software is growing rapidly. The problem: best analytical methods are very complex and require a lot of computational power. The solution: to develop very fast core engines customized for vertical industries. The engines will be able to work on large data sets, including mobile applications.
Business application:
This project may become a key player on modern Internet because fast analytical engines are able to deliver valuable B2B and B2C analytical services in real time.
Market opportunity: this project creates a chance to launch an IPO-type business, to dominate very large and fast growing markets, including Internet and intranet segments.
Partner: opened. Ideal partner: internet company or investor looking for an IPO-type opportunity.
Status: several fast algorithms have been developed. R&D team will be formed with strategic partner.
Business application:
- text mining for consumer behavior analysis
- image search on the Internet and for autonomous robots
- video search and analysis
This project may become a key player on modern Internet because fast analytical engines are able to deliver valuable B2B and B2C analytical services in real time.
Market opportunity: this project creates a chance to launch an IPO-type business, to dominate very large and fast growing markets, including Internet and intranet segments.
Partner: opened. Ideal partner: internet company or investor looking for an IPO-type opportunity.
Status: several fast algorithms have been developed. R&D team will be formed with strategic partner.
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