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Grant: Idea to Innovation

Ryerson University

$128,050.00

An intelligent information retrieval and processing system for financial databases

EF 2009-10

Résumé
Our long-term goal is to develop and market powerful search and processing tools/software for financial databases, by applying our advanced innovative signal and information processing technologies in the areas content-based information retrieval (CBIR), statistical signal processing and adaptive filtering, and advanced computational intelligence. The current product under development is FinancialSharp, a software platform of novel tools to support content-based search/retrieval, customized analysis, and intelligent decision-making for sophisticated financial professionals. Our software and services will maximize the competency of our customers in the financial industry by 1) greatly increasing flexibility and quality of financial data analysis and supporting intelligent decision making, thus enabling smart investment decisions; 2) empowering financial professionals to conduct complicated analyses independently and easily, thereby reducing the need for costly research support. FinancialSharp will run as a web-based Application Service Provider (ASP). This proposed Phase IIa project is built on our successful completion of a Phase I project, in which we filed 2 US patents on key technologies, developed a FinancialSharp Web demo and presented the demo to financial professionals in about 20 institutions. Based on the enthusiastic market response we received and with the support of our early investor, our objectives of the Phase IIa project are to develop a commercial prototype of FinancialSharp, test market, and spin-off a start-up company. Our project team is composed of leading technology researchers and developers, financial professionals, interface design and marketing experts. Our technologies and product concepts have attracted strong interests from investment professionals. Several investment firms indicated that they would evaluate an investment opportunity in our project if we demonstrate a feasible FinancialSharp prototype at the end of Phase IIa.
Programme
Idea to Innovation
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
380664-2009
Name nom
Zhang, XiaoPing
Department département
Electrical and Computer Engineering
Organization id
43
Institution établissement
Ryerson University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2009
Competition year année de concours
2009
Award amount
128050
Program id
I2IPJ
Program nane en
Idea to Innovation
Program name fr
De l'idée à l'innovation
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
802
Area of application group en
Information and communication services
Area of application group fr
Services d'information et de télécommunications
Area of application en
Information systems and technology
Area of application fr
Systèmes d'information et technologie de l'information
Research subject code
2700
Research subject group en
Information technology
Research subject group fr
Technologie de l'information
Research subject en
Information technology
Research subject fr
Technologie de l'information
Partie
1
Nb partie
2
Application title
An intelligent information retrieval and processing system for financial databases
Keyword
NA
Application summary
Our long-term goal is to develop and market powerful search and processing tools/software for financial databases, by applying our advanced innovative signal and information processing technologies in the areas content-based information retrieval (CBIR), statistical signal processing and adaptive filtering, and advanced computational intelligence. The current product under development is FinancialSharp, a software platform of novel tools to support content-based search/retrieval, customized analysis, and intelligent decision-making for sophisticated financial professionals. Our software and services will maximize the competency of our customers in the financial industry by 1) greatly increasing flexibility and quality of financial data analysis and supporting intelligent decision making, thus enabling smart investment decisions; 2) empowering financial professionals to conduct complicated analyses independently and easily, thereby reducing the need for costly research support. FinancialSharp will run as a web-based Application Service Provider (ASP). This proposed Phase IIa project is built on our successful completion of a Phase I project, in which we filed 2 US patents on key technologies, developed a FinancialSharp Web demo and presented the demo to financial professionals in about 20 institutions. Based on the enthusiastic market response we received and with the support of our early investor, our objectives of the Phase IIa project are to develop a commercial prototype of FinancialSharp, test market, and spin-off a start-up company. Our project team is composed of leading technology researchers and developers, financial professionals, interface design and marketing experts. Our technologies and product concepts have attracted strong interests from investment professionals. Several investment firms indicated that they would evaluate an investment opportunity in our project if we demonstrate a feasible FinancialSharp prototype at the end of Phase IIa.