NRC — Data Analytics Centre research facility

The eligibility criteria for this grant include: 1. Small and medium-sized enterprises (SMEs) 2. Large and multinational enterprises (MNEs) 3. Public sector organizations, specifically the NRC AI Accelerator for the Government of Canada 4. Universities and colleges These organizations can work with the NRC's Data Analytics Centre to extract valuable insights from their data and benefit from services such as exploratory data analysis, modeling and prediction, visualization and decision support, IoT and big data analysis, high-performance computing, and AI consultation services.

Who is eligible?

The NRC's Data Analytics Centre collaborates with organizations across different sectors to leverage data analytics for strategic business value. Eligible entities benefit from tailored support to enhance data insight capabilities.

• Small and medium-sized enterprises (SMEs) seeking data-driven strategies.
• Large and multinational enterprises (MNEs) aiming for advanced analytics applications.
• Public sector entities involved in data analytics for operational improvements.
• Universities and colleges interested in collaborative research and development projects.

Eligible expenses

This grant can be utilized for engaging in collaborative projects that leverage advanced data analytics, AI, and high-performance computing across various sectors. Eligible activities focus on enhancing analytical capabilities, developing robust AI models, and implementing data-driven strategies to address industry-specific challenges.

• Exploratory data analysis to define objectives and conduct feasibility studies.
• Development and application of machine learning models and prediction techniques.
• Visualization and decision support using advanced data analytics techniques.
• Implementation of Internet of Things (IoT) and big data analysis projects.
• Utilization of high-performance computing (HPC) resources for data-intensive research.
• Consultation on organizational data strategies and artificial intelligence integration.
• Sector-specific projects like AI-assisted medical image diagnosis and infrastructure IoT models.

There are evaluation and selection criteria for this grant.

• Evaluation based on the project's alignment with the funding program's objectives
• Selection criteria include overall impact, innovative approach, feasibility, and expertise of the team
• Additional consideration for projects that demonstrate potential for commercialization or societal benefits

Here are additional relevant details for this grant:

• The Data Analytics Centre offers access to high-performance computing facilities, visualization rooms, and AIoT demonstration platforms to enhance research and project outcomes.
• Collaboration opportunities are available with experts in diverse fields such as AI, IoT, cybersecurity, and big data.
• The Centre works with both private and public sector organizations, suggesting a broad application scope for grant projects.
• Students are welcomed annually through employment and co-op programs, providing additional resource and partnership opportunities.