Imaginez un monde dans lequel vous seriez les acteurs du contenu audiovisuel. Un monde dans lequel votre avis aurait un réel impact sur vos émissions préférées. Ce projet va dans ce sens puisqu’il tente de créer une réelle connexion entre les diffuseurs et les téléspectateurs. L’interactivité est donc de mise, tentant de mettre l’utilisateur au […]

The goal of this project is to build an information system to help SCA(Saskatchewan Cattlemen’s Association) improve the information flow between itself and cattle producers, make information more accessible for cattle producers and automate some of the procedure SCA currently has to do manually. Examples include sale reporting via web services and cow tracking via […]

Le projet a pour Object l’élaboration d’une stratégie de développement logiciel pour l’interface utilisateur d’une plateforme Web intelligente.

Connective Intelligence is a niche professional services firm which specializes in organizational growth, innovation and transformation. While Connective Intelligence has been in business for over 20 years, it’s in a new phase of growth driven by two (2) recent successful product innovations which now require digital innovation and data analytics to further accelerate growth with […]

The current Alpha Sizing system for clothing sizes (S, M, L) has vast inconsistencies. Apart from shopper frustration, the most significant consequence of unpredictable fit is the monetary and environmental cost of unnecessary shipping and logistics. 30% of clothes are returned due to poor fit. The cost of this problem exceeds US$14 Billion annually. Furthermore, […]

Currently, call centres effort in this matter is largely reactive. Someone calls in, they are upset, and agents respond accordingly. However, this approach is not always most effective, especially with difficult customers. Therefore, knowing the customers current emotional state is very important for appropriate problem solving. Affective computing can be used to detect and evaluate […]

Car (automobile) insurance is a very common type of insurance: policyholders pay a premium to get financial compensation in case an accident happens with their cars. Insurance companies use complex calculations and a lot of information to determine the value of these premiums. More specifically, they must also consider their expectations of the future. Predicting […]

Seafair is a strategic leadership and community investment company. As a local organization founded and operating in Newfoundland & Labrador, we employ individuals across the province in urban, rural and remote settings in the delivery of community, home and residential care; safety supply and services; consumer health services; and in community development and capacity building […]

Quantum computers, that is, computers that exploit quantum mechanical phenomena to process information, have been shown to theoretically perform some computations faster than the best available methods on traditional computers. One widely applicable quantum computing technique is quantum search which offers an improvement to the problem of finding a needle in a digital haystack. Despite […]

In partnership with schools and community partners, the Restorative Action Program deals with bullying, physical violence, crime, mental health, substance abuse, suicide and self-harm – with programming delivered to over 8000 youth in Saskatoon schools. They work with youth to develop and practice conflict management, relationship management, and leadership skills – focusing on prevention, intervention […]

Existing data lake systems lack the support for storing or discovery features that could be used with different ML projects. These limitations negatively affect the process of decision-taking. Data scientists spend most of their time finding, preparing, and integrating relevant data sets to finish analytics tasks. Feature discovery systems are needed to ease the process […]

In recent years, with the emergence of online social networks and the growing interest in genetics and biological networks, the research community has been tasked with analyzing knowledge extracted from multi-relational datasets. Such analysis, generally known as Knowledge Discovery in Databases (KDD), is concerned with the computer aided discovery of useful knowledge in databases. An […]