The proposed project aims to define and apply a set of AI rules based on customer sentiment, loyalty and purchase behavioral data using data from Drive CX customer experience management platform. The rules would generate “hyper-personalized” marketing offers that result in measurable increases in loyalty and Customer Lifetime Value (CLTV). The deliverable would be a […]

Decentralized finance (DeFi) is a nascent field that recently gained a lot of media attention. DeFi refers to financial service applications that are operated on blockchain technologies such as Ethereum. Such financial service applications include lending and borrowing, leveraged trading, asset management, insurance, and many new products and services that come out every day. These […]

The proposed research project’s objective is to perform analysis on airfoil dimensions and configurations for a crosswind power kite system for wind energy generation. The airfoil will be examined through computational methods to determine how well the airfoil will perform. The airfoil configurations will then be optimized to find better designs for airborne wind energy […]

In every situation humans make observations and analyse the observed information, by combining and evaluating the relationships between the observations to understand the situation. Often these observations can be uncertain, redundant, from unknown sources, contradictory and too many for a human to be able to analyse fast enough and correctly, leading to incorrect assessment of […]

L’objectif principal de cette recherche est de déterminer le niveau actuel de risque électronique dans les PME. (10 à 499 employés) et d’étudier les variables qui peuvent influencer la probabilité et l’impact de l’e-risque dans le futur. En particulier, la recherche tiendra compte des variables liées à l’utilisation ou à la non-utilisation du télétravail suivant […]

Hearing loss affects over 1/2 of Canadians over 65 years of age. Remarkably, however, hearing aid adoption rates have remained stable and very low (20-25%) over the past 25 years. This is particularly surprising given the significant, concomitant advancements in hearing aid technologies within the same timeframe. In attempting to identify the causes of dissatisfaction […]

The company provides devices to measure quality of curing light used in dental procedures. These devices produce high volume and high velocity data. This data is then used to forecast a future state and to make a well informed business/operation decision according to an expected future state. One of the challenges in application of such […]

The on-line dating industry currently has over 1400 different sites, including known sites such as eHarmony, Match.com and LavaLife, however, research indicates a general dissatisfaction in the quality of relationship matches generated by these sites. The research proposal will investigate the use of new semantic technologies in providing a higher quality matching service. The commercial […]

Video Games require a vast array of different computations to present the desired experience. These computations must be completed consistently to make the software responsive to the user. The industry trend towards many separate processors (multi-core) in the same phYSical device and the emergence of network based ‘cloud’ computing have created many opportunities, but also […]

Nowadays, software projects are no longer isolated but drive the business process of many non-IT companies. With the rise of AI applied in many industries, the problem of optimally scheduling tasks and allocating proper resources has significantly increased the challenge because of the diversity of tasks and stakeholders in the project. Due to the large […]

The goal of this project is to train a machine learning model that can identify player’s personae using VLT (Video Lottery Terminal) data within a transactiontime limit. The personae are results of the previews MITACS project. Using unsupervised learning each playing session was associated with a playstyle. Identifying the playstyle as soon as possible is […]

Deep learning (DL) algorithms have achieved phenomenal success in different AI applications in recent times. Training DL algorithms require huge computational resources. Therefore, cloud or high-performance computing at the edge are obvious choices for this task. However, during inference cloud computing is not a suitable choice because of latency issues. There are billions of devices […]