Grant: Applied Research and Development Grants - Level 1
Seneca College of Applied Arts and Technology
$30,000.00
Smart Project Performance Management - Infrastructure Industry Operations Excellence through Machine Learning
FY 2021-22
Summary
Audiit Business Solutions Corp., founded in 2014, provides data-oriented project management solutions that help companies achieve Project Excellence. The Audiit Platform is a software-based solution that enables strategic data governance and project performance management. The platform provides on-going project decision-making support, continuous project performance improvements, and schedule/cost control to customers with high-complexity projects that are managed through existing software systems. Audiit currently works with high-profile clients in the infrastructure sector, including Bruce Power Nuclear, Ontario Power Generation, Aecon, and K-Line. The technology that drives Audiit Platform utilizes Audiit Trail, which provides a complete history of events during projects to provide on-going project analysis. The collection of this historical data during projects creates a massive opportunity to utilize the millions of project management data points using advanced analytical techniques such as machine learning (ML) and artificial intelligence (AI) of which there has been notably slow uptake in the industry. Audiit is collaborating with Seneca's School of Software Design & Data Science to identify, validate, and implement ML models that can provide performance improvements for their customers during Project Excellence and Project Execution. Led by Professor Reid Kerr, student Research Assistants will apply their academic knowledge and skills to find and test ML algorithms on both sample and real data provided by Audiit's clients, to discover which ML methods improve project performance. Following the project, Audiit will implement the output from this project directly into their existing Platform, quickly providing their customers with the most advanced ML-backed data analysis on the market.
Program
Applied Research and Development Grants - Level 1
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
570639-2021
Name nom
Barai, Namrata
Department département
Head Office
Organization id
1803
Institution établissement
Seneca College of Applied Arts and Technology
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2021
Competition year année de concours
2021
Award amount
30000
Program id
CARD1
Program name en
Applied Research and Development Grants - Level 1
Program name fr
Subventions de recherche et développement appliquée - niveau 1
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
1561
Committee name en
Applied Research and Development Grants
Committee name fr
Subventions de recherche et développement appliquée
Area of application code
600
Area of application group en
Construction, urban and rural planning
Area of application group fr
Construction, urbanisme et aménagement rural
Area of application en
Construction, urban and rural planning
Area of application fr
Construction, urbanisme et aménagement rural
Research subject code
2800
Research subject group en
Artificial intelligence
Research subject group fr
Intelligence artificielle
Research subject en
Artificial intelligence (computer vision, use2603)
Research subject fr
Intelligence artificielle (vision artificielle, utiliser 2603)
Installment
inst:1
Partie
1
Nb partie
1
Application title
Smart Project Performance Management - Infrastructure Industry Operations Excellence through Machine
Learning
Keyword
NSERC
Application summary
Audiit Business Solutions Corp., founded in 2014, provides data-oriented project management solutions that help companies achieve Project Excellence. The Audiit Platform is a software-based solution that enables strategic data governance and project performance management. The platform provides on-going project decision-making support, continuous project performance improvements, and schedule/cost control to customers with high-complexity projects that are managed through existing software systems. Audiit currently works with high-profile clients in the infrastructure sector, including Bruce Power Nuclear, Ontario Power Generation, Aecon, and K-Line. The technology that drives Audiit Platform utilizes Audiit Trail, which provides a complete history of events during projects to provide on-going project analysis. The collection of this historical data during projects creates a massive opportunity to utilize the millions of project management data points using advanced analytical techniques such as machine learning (ML) and artificial intelligence (AI) of which there has been notably slow uptake in the industry. Audiit is collaborating with Seneca's School of Software Design & Data Science to identify, validate, and implement ML models that can provide performance improvements for their customers during Project Excellence and Project Execution. Led by Professor Reid Kerr, student Research Assistants will apply their academic knowledge and skills to find and test ML algorithms on both sample and real data provided by Audiit's clients, to discover which ML methods improve project performance. Following the project, Audiit will implement the output from this project directly into their existing Platform, quickly providing their customers with the most advanced ML-backed data analysis on the market.