Data – ABCDQI

Critical Need for Data Flow: Efficient and secure data flow is essential for agencies to expand their AI capabilities effectively.
Growth in AI Use Cases: The number of AI applications within the federal government more than doubled in 2024, focusing on internal support, healthcare, and service delivery.
Overcoming Silos: Challenges in data sharing due to agencies working in silos hinder effective AI deployment and decision-making, especially in collaborative environments like the military.
AI Enhancements in Supply Chain: AI is set to improve supply chain resilience, enabling agencies to predict disruptions and enhance logistics management, thus addressing substantial financial losses.
Regulatory Support for Security: Compliance with regulatory frameworks like CMMC and FedRAMP is crucial for bolstering cybersecurity and managing risks in government systems as AI usage expands.

Eight innovative projects are longlisted in Canada’s Public Service Data/AI Challenge, focusing on data-driven solutions for federal government services.
The challenge includes proposals like an AI-enhanced language training tool and a digital twin for smarter infrastructure management to improve decision-making.
A generative AI tool aims to streamline application processing for Indigenous children under Jordan’s Principle, reducing workload and processing times.
Financial forecasting and risk assessment tools are also proposed to enhance government spending efficiency and project management.
Last year’s winners showcased the effective use of data to solve real-world issues, demonstrating the challenge’s impact on public service improvement.

Tag: Data