Assessing the effectiveness of customer management efforts on profitability in the insurance industry

To have a strategic advantage over competitors, companies have been encouraged to adopt customer-centric, value added processes and capabilities.  Firms allocate resources to train their employees in the necessary skills to build and maintain healthy relationships with their customers, yet little is understood on how investments in training impacts a firm?s performance.   The objective of […]

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Goal-oriented Safety-Guided Design and Assurance for FinTech

With the increasing popularity of digital assets such as cryptocurrencies, many financial technology (FinTech) systems have become safety critical. However, current FinTech system development approaches often lack the rigorous safety practices found in the aerospace, nuclear, automotive, and military industries. To address safety concerns of FinTech stakeholders (users, but also regulators and financial institutions), this […]

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Deep Fraud Detection

Financial fraud is a serious issue that is taking place globally and causing considerable damage at great expense. Statistical analysis and machine learning tools can help financial institutions detect different types of fraud. In some cases however, mislabeling and the cost of classification may actually increase the volume of ‘false positives’ for supervised methods. As […]

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Fast and Accurate Computation of Wasserstein Adversarial Examples

Machine learning (ML) has recently achieved impressive success in many applications. As ML starts to penetrate into safety-critical domains, security/robustness concerns on ML systems have received lots of attention lately. Very surprisingly, recent work has shown that current ML models are vulnerable to adversarial attacks, e.g. by perturbing the input slightly ML models can be […]

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Strengthening Canadian Competitiveness by Strengthening Local Value Chains

This proposed study is an unprecedented attempt by a North American municipality to proactively identify and strengthen the components of its local value chain to inform a comprehensive strategy dedicated to growing opportunities in local advanced manufacturing, targeting increasingly interwoven value chains. Surrey has the space and existing capabilities to become an advanced manufacturing hub […]

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An Integrated framework for connecting innovation providers and innovation seekers: from database construction and population to knowledge discovery

The energy and extractives industries in Canada and abroad (e.g.) are facing challenges that impact negatively on a number of areas including efficiencies and environmental footprint. The objective of this project is to provide Rainmaker Global Business Development with the machine learning and probabilistic research needed to develop a Canadian Clean Technology online marketplace by […]

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Assessment of Comprehensive Self-Care Programs in the Workplace: A Mixed Methods Study

The purpose of this 20-week study is two-fold. First, assess two comprehensive self-care programs on employee and organizational outcomes. Second, explore the self-care phenomenon. A single financial services organization will participate in the study. Financial consultants will be randomly assigned by office location into three groups. Group #1 will attend a comprehensive self-care program called […]

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Machine Vision Based System for the Recognition and Counting of Indian Coins

Counting coins, with speed and accuracy, has been a challenging issue for banks and stores. People used to count coins manually before the arrival of coin counting machines. The process of counting coins manually is a very time consuming and tedious job. Moreover, mistakes are likely to occur due to various reasons such as fatigue, […]

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Création d’un modèle d’attribution des campagnes marketing en ligne

Il arrive fréquemment que les consommateurs visitent un site web plusieurs fois avant d’y effectuer une transaction et que ces visites sur le site soit générées par différentes sources (publicité, médias sociaux, favoris, courriel). Cette situation occasionne un sérieux dilemme, celui de l’attribution du crédit de la conversion (i.e., transaction sur un site).  Doit-on l’associer […]

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Understanding atmospheric peril risk across re/insurance portfolios

Natural disasters that are associated to the atmosphere (known as atmospheric perils) such as hurricanes, tornadoes and hail, flooding, drought, and wildfire, caused over $100 billion in damage throughout the world in 2015. Insurance companies often cannot afford to be responsible when such catastrophes occur, and so they purchase insurance to protect themselves (called reinsurance) […]

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Validation of a Machine Vision-based System for the Recognition of Indian Coins

Counting coins, with speed and accuracy, has been a challenging issue for banks and stores. People used to count coins manually before the arrival of coin counting machines. The process of counting coins manually is a very time consuming and tedious job. Moreover, mistakes are likely to occur due to various reasons such as fatigue, […]

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