Registre des initiatives en IA

16 initiative(s) courante(s)

• 136

  Natural Language Process (NLP) Chatbot using retrieval-augmented-generation (RAG) on DFO PAC Site

  A chatbot that allows users to search DFO PAC website using natural language and return responses not only on data it was trained on but also incorporating a retrieval of new information found on DFO website as it is updated

  Proof of Concept Sciences des écosystèmes et des océans Interaction et engagement

• 134

  LLM Document Chatbot​

  Large language model that can help users ask questions to document sets and get answers, summarize key information, and find data with citations and sourcing. ​

  Proof of Concept Sciences des écosystèmes et des océans Interaction et engagement

• 55

  Natural Language Process (NLP) Chatbot using retrival-augmented-generation (RAG) on DFO PAC Site

  A chatbot that allows users to search DFO PAC website using natural language and return reponses not only on data it was trained on but also incorporating a retrieval of new information found on DFO website as it is updated Azure OpenAI GPT4o/4o mini Text-Embedding-3-Large Open Web UI Crawl4AI (AI-based webscraper)

  Proof of Concept Secteur des programmes Interaction et engagement

• 53

  LLM Document Chatbot​

  Large language model that can help users ask questions to document sets and get answers, summarize key information, and find data with citations and sourcing., including, from documents with multiple templates using prompt engineering approaches Azure OpenAI GPT4o/4o mini

  Proof of Concept Secteur des programmes Interaction et engagement

• 20

  IM Chatbot

  Chatbot to answer Information Management related questions, based on information available on the IM intranet site. This is a work in progress.

  Proof of Concept Dirigeant principal du numérique Interaction et engagement

• 6

  ITSD internal chatbot

  ITSD is currently implementing a simple chatbot leveraging Copilot, to streamline access to its knowledge base for our agents. This initiative aims to further improve the speed and quality of service provided by our technicians by enabling them to quickly locate the information they need to provide support and service to clients.

  Proof of Concept Dirigeant principal du numérique Interaction et engagement

• 12

  P&C AI Chatbot for Pay

  AI Chatbot for Pay to assist with pay questions and errors in LoO (PSPC led) DFO Pilot with PSPC Concierge Chatbot for HR & pay information Provides personalized HR and pay guidance when visiting MyGCPay Concierge provides answers and sources for general questions

  Proof of Concept Interaction et engagement

• 165

  AIMMS (Artificial Intelligence for Marine Mammals in Survey imagery)

  The AIMMS project develops a platform to automate and accelerate the interpretation of aerial imagery for marine mammal population assessments. By streamlining annotation and review, and enabling scientists to develop custom machine-learning models without advanced coding skills, the AIMMS workflow significantly reduce processing time, accelerate delivery of science advice, and lower operational costs.

  Proof of Concept Gestion des pêches Perception et compréhension

• 252

  Centre d'IA du MPO

  The DFO AI Hub is a centralized digital platform that demonstrates the application of artificial intelligence technologies to fisheries and oceans research, management, and operations. The platform serves as an educational tool that demonstrates how AI can help addresses business needs for faster, more accurate data analysis, improved decision support, and increased operational efficiency across research, monitoring, and management functions. It enables exploratory use of machine learning, computer vision, and natural language processing to process diverse data sources (e.g., imagery, sensor data, scientific reports), automate routine analytical tasks, and generate actionable insights for policy, compliance, and conservation programs.

  Proof of Concept Politiques stratégiques Interaction et engagement

• 256

  Conception d’expérience utilisateur et flux de travail de création de contenu optimisés par l’IA

  AI-enabled capabilities to help UX and content designers deliver digital work faster and more consistently. This includes supporting early ideas, rapid iteration, drafting and revising content, creating and comparing design options (task flows, wireframes, mockups, interactions, prototypes), and producing documentation needed for handoffs and approvals while still meeting GC standards. We also want employees to build modern, transferable skills.

  Proof of Concept Dirigeant principal du numérique

• 258

  Mise en place d’un processus national normalisé de traitement des données de biotélémétrie

  Development of a national biotelemetry platform that standardizes the processing of acoustic animal tracking data. Automated workflows that apply Random Forest and neural network methods to identify movement patterns, mortality events, and other biologically significant behaviours will standardize quality control, improve data interoperability, and provide self-service analytical tools for scientists and managers across multiple departments, supporting faster evidence-based decision making.

  Proof of Concept Sciences des écosystèmes et des océans

• 247

  NECTR – Solution Power Apps – Intégration d’IA Copilot

  We would like to integrate copilot into power apps to be able to help users find and identify data in the database. This will save time for users looking to identify and extract data from the system. We currently have almost 500 users, so enabling AI for this would save a lot of time for these employees.

  Proof of Concept Politiques stratégiques Interaction et engagement

• 249

  Plateforme d'IA

  Build a secure, scalable AI platform that extends the Enterprise Data Hub (EDH) and enables DFO teams to develop, deploy and govern AI solutions that will accelerate insights, support scientific discovery and uphold the highest standards of data quality, security, and ethical use.

  Proof of Concept Dirigeant principal du numérique Infrastructure et habilitation

• 250

  Robot conversationnel du centre de données du MPO

  • Faster access to Data Centre information and processes • Reduced dependency on SMEs and email-based support • Improved staff onboarding and operational efficiency • Supports GoC digital-first and AI-enablement direction

  Proof of Concept Politiques stratégiques Interaction et engagement

• 245

  Solution de reconnaissance d’objets, de classification, d’étiquetage, d’organisation et de compréhension des modèles (OCTOPUS)

  This initiative leverages AI technologies to build an Object, Classification, Tagging, Organization, and Pattern Understanding Solution (OCTOPUS) to enhance the analysis of video, image, and audio data, improve monitoring capabilities and support decision-making processes at DFO. The MVP will initially focus on video processing capabilities, with planned expansion to image and audio analysis in FY 2026–27. In addition, the initiative will deliver integrated data annotation and model training tools to support continuous improvement and reuse of AI models.

  Proof of Concept Dirigeant principal du numérique Perception et compréhension

• 240

  The Current

  Don't let your harvested data get stuck in still water. Navigate new data streams with AI automation, augmentation and information enablement. The Current is a cloud-hosted platform that enables users anywhere in the department to ingest large volumes of structured and unstructured documents, extract data using optical character recognition and large language models, validate and review results through human-in-the-loop workflows, and relate extracted information using shared concepts and standards. The architecture emphasizes asynchronous processing, modular extraction services, strong traceability, and governance-ready design. The platform supports configurable extraction tasks, versioned models and definitions, auditable review processes, and future discovery of related research outputs and datasets across heterogeneous sources. As the initial use-case, the Text Intelligence and Data Extraction (TIDE) Service has been developed for the Salmon Habitat Restoration (SHARE) System. TIDE is a baseline iteration of The Current that fulfills the minimum viable product requirements of SHARE. TIDE focuses on digitizing, extracting, and modeling data from large unstructured text documents. TIDE establishes the baseline architecture and demonstrates a scalable workflow in Production.

  Proof of Concept Gestion des pêches Perception et compréhension