Title:
Design and implement policies and processes for AI data governance in hybrid cloud/on-premise architecture
Agreement Number:
1025996
Agreement Value:
$75,000.00
Agreement Date:
Dec 16, 2024 - Mar 26, 2025
Description:
The Project will support the assessment of data quality and data sources for AI model training and project development. The project also characterizes and documents aspects of data for data governance, explainability of AI model decisions in hybrid cloud/on-premise architecture
Organization:
National Research Council Canada
Expected Results:
The NRC Artificial Intelligence (AI) Assist Program aims to equip and support SMEs to incorporate AI into their core products and services and/or undertake scientific research, product development, testing, and validation. AI Assist aims to increase the number, the quality, and the competitiveness of Generative AI (Gen AI), Deep Neural Nets (DNN), and Deep Learning (DL) products created and delivered by SMEs
Location:
Markham, Ontario, CA L3R 9Z7
Reference Number:
172-2024-2025-Q3-1025996
Agreement Type:
Contribution
Report Type:
Grants and Contributions
Recipient Business Number:
723869889
Recipient Type:
For-profit organization
Recipient's Operating Name:
EAIGLE
Recipient's Legal Name:
EAIGLE Inc.
Federal Riding Name:
Markham--Thornhill
Federal Riding Number:
35055
Program:
Industrial Research Assistance Program – AI Assist
Program Purpose:
The NRC Artificial Intelligence (AI) Assist Program aims to equip and support SMEs to incorporate AI into their core products and services and/or undertake scientific research, product development, testing, and validation. AI Assist aims to increase the number, the quality, and the competitiveness of Generative AI (Gen AI), Deep Neural Nets (DNN), and Deep Learning (DL) products created and delivered by SMEs.
Coverage:
The AI Assist program is designed to help innovative SMEs navigate the challenges of developing and adapting generative AI (GenAI) and deep learning (DL) solutions and to assist SMEs with awareness, planning and execution in order to develop these technologies safely and ethically
