The current Sun Life anomaly detection methods are based on human inspection. The method is labour intensive and only a relatively small number of cases can be reviewed. There is no guarantee that the most suspicious interactions are in fact being sampled and reviewed. In this project we will focus on the develop of novel […]

The City of Delta, the City of Surrey, and the Semiahmoo First Nation in British Columbia are testing the feasibility of restoring historic salt marshes to reduce the risk of coastal flooding by installing a pilot project to test multiple salt marsh rebuilding techniques in Boundary Bay. This study will test the hypothesis that the […]

This grant application, aims to develop an efficient and accurate project management analysis platform based on active and few-shot learning techniques. The main objective of our platform is to provide advanced insights and predictions related to project activities, teams, and budgets, using recent advancements in natural language processing (NLP), active and few-shot learning technologies. By […]

The primary goal for this project is to develop a user customized dashboard to help overcome business challenges and provide the opportunity to access new and different markets. Mortgage Brokers Ottawa can access new and different markets with more efficient assessment and considerations of the terms and risks of the mortgage, unique financial circumstances and […]

To validate structured trade contracts for language and economic term correctness, the existing document understanding systems use machine learning methods, natural language understanding, and text analysis, to extract data elements from financial documents. This can be expanded to a wide variety of financial documents, especially customer-provided reference material. The project focuses on document information extraction […]

This project will outline step-by-step how to make fair financial models that do not depend on a person’s private information such as age, gender and race. It is aimed to be a guide to use machine-learning tools and adding defendable mathematical theory to improve previously existing models that have problems with producing biased results. As […]

Increasing industrial interest in biobased polymers to replace traditional plastics is on the rise. Bio- sourced alternatives still experience challenges that require resolution prior to their being able to fit into existing infrastructure and replace petroleum plastics in the market. This project will address the processability of a lignocellulosic thermoplastic to facilitate injection molding.

Finliti is planning to use AI to improve their business operations. Some areas they are looking into involve using AI to sort clients into the most appropriate persona which will reflect their investing preferences, and assessing the future performance of a proposed portfolio while accounting for a client’s persona and financial goals. AI is intended […]

Sai is a startup that aims to help artists and arts organizations manage their finances more effectively. They noticed that many artists struggle with financial literacy due to the lack of financial education in their artistic backgrounds, and the pandemic has exacerbated this issue. To address these challenges, Sai is developing an integrated educational program […]

This project aims to help clients achieve their growth goals by leveraging AI and associated techniques to address their business challenges. These challenges such as increased customer churn across all segments. We aim to develop a tool and an algorithm that can predict churn based on identifying the leading indicators for churn in each segment. […]

Malicious adversaries are increasingly aiming to bypass security controls. There is a race to “owning” vulnerable machines and it is advantageous to malicious adversaries if the existing vulnerabilities are not patched. The research will be performed on a vulnerability assessment and management platform, specifically designed to assist organizations in identifying and mitigating cyber risks. It […]

Insider threat involves individuals who have access to company resources and causes harm to the institution. These insiders can be employees, consultants, contractors, and third-party companies. Different types of insiders include people who intentionally harm the company, those to masquerade as a trusted entity, and those who unintentionally cause harm. Insider threats can lead to […]