Cloud Native Big Data Engineering and Automation

XLScout is a startup engaged in democratizing innovation and connecting research and development with intellectual property (IP) departments across the world. The company is developing proprietary algorithms, using Artificial Intelligence and Machine learning, to mimic the behaviour of an expert searcher.
XLScout hosts a data vault of about 130+ million patent documents which occupies approximately 8TB of storage. Searching such documents is a cumbersome process requiring extensive effort, time and strategies that a novice searcher might not be aware of. The objective of this project is to automate the search process by allowing machines to understand users’ queries. A sustainable and adaptive text mining framework will be developed to provide NLP-based research outputs for IP search in different domains. This will provide scalable solutions for XLScout’s data vault on which the company will run proprietary AI/ML models and generate high-value analytic solutions to help the customers make informed decisions

Intern: 
Khushwant Rai
Faculty Supervisor: 
Katarina Grolinger
Province: 
Ontario
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