Registre des initiatives en IA

197 initiative(s) courante(s)

• 72

  Extracting impacts data from regulatory documents

  Use OCR pdf readers, topic detection and language models to detect specific data elements inside written text documents, for extraction and analysis in a cumulative impacts context. Large lanugage models and topic clustering tools

  Idéation Sciences des écosystèmes et des océans Perception et compréhension Compréhension du langage naturel

• 63

  Factoid Finder Tool

  The Factoid Finder extracts text from machine-readable PDFs to create searchable content libraries. Small Language Models are used to implement semantic search techniques, allowing users to search the library for relevant passages within the PDFs. Small Language Model and Text Embedder: MS Marco Distilbert Dot-v5 Cross-encoder: MS Marco MiniLM-L6-v2

  Pilote IA cognitive et générative Gestion des connaissances

• 144

  Factoid Finder Tool

  This completed project used the Factoid Finder extracts text from machine-readable PDFs to create searchable content libraries. Small Language Models are used to implement semantic search techniques, allowing users to search the library for relevant passages within the PDFs.

  Pilote Sciences des écosystèmes et des océans IA cognitive et générative Gestion des connaissances

• 257

  IA Figma

  The initiative explores the use of Figma's AI capabilities to support user experience (UX) design activities across DFO. Figma AI features may assist in generating interface designs, creating wireframes, producing placeholder content, organizing design assets, accelerating prototyping activities, and improving collaboration among design teams. The objective is to improve productivity and reduce manual effort while maintaining human oversight of all design decisions and outputs.

  Idéation Dirigeant principal du numérique

• 106

  Finwave: an online photo-identification database and AI matching tool

  This project  aims to  improve a publicly accessible machine learning platform capable of identifying individual killer whales in real-time from submitted photographs. The ultimate goal is to improve the web-based interface and validate the algorithm used for photo identification against known individuals.

  Pilote Sciences des écosystèmes et des océans Perception et compréhension Vision par ordinateur

• 219

  Fish-Habitat Associations

  Extraction of relevant habitat association info and strengths based on vetted literature input to AI for synthesis. Goal to improve equivalency models used in regulatory decisions. Possible partnership with McMaster University.

  Idéation Sciences des écosystèmes et des océans IA cognitive et générative Gestion des connaissances

• 123

  Fish-Habitat Associations

  Extraction of relevant habitat association info and strengths based on vetted literature input to AI for synthesis. Goal to improve equivalency models used in regulatory decisions. Possible partnership with McMaster University.

  Pilote Sciences des écosystèmes et des océans IA cognitive et générative Gestion des connaissances

• 208

  Détection des activités de pêche

  The goal is to use vessel movement behaviour in the form of AIS data to predict whether a vessel is currently engaged in fishing activity. AIS data is available to the department in near real-time from AIS transponders equipped on vessels. An automated system that can indicate to fishery officers when and where vessels are likely engaged in fishing activities will support better monitoring of compliance with regulations such as conformance with conditions in fishing licenses and in marine protected areas. Due to limited capacity and lengthy processes to manually review and distill data sources, fishery officers cannot fully monitor all vessels under present circumstances. This AI-supported system would help to increase monitoring coverage for fishery officers. Spatial processing: The vast amounts of geographically-referenced AIS transmissions from vessels must be refined to spatiotemporal areas of interest prior to feature engineering for input to the machine learning model. Appropriate spatial processing can support achieving this in a timely manner, particularly when near real-time processing is of interest. However, given the availability of the AIS pipeline, this processing is more appropriate to be performed by the pipeline than within the analytics environment for this use case. The fishing detection system would use the AIS pipeline API and would received data which has already been refine to the relevant spatial extents.

  Pilote Politiques stratégiques Automatisation et aide à la décision Analytique prédictive

• 183

  Généralités – Gestion administrative

  Draft and Refine Documents: Staff make use of Copilot to generate or refine briefing notes to make these clear and concise. Enhance Collaboration and Workflow Efficiency: By offering suggestions for document formatting, language style, and clarifying content, Copilot helps maintain consistency and accuracy across communications and facilitates more effective interdepartmental collaboration. Meeting notes: After a meeting is recorded, Copilot can transcribe audio to produce a relatively accurate record of the discussion, using natural language processing to identify key points, decisions, and follow-up tasks, and organizing these into relatively concise summaries and action item lists. Conduct Research and Summarize Information: It can quickly extract key points from extensive reports, legislation, or guidelines—helping to synthesize complex information into actionable insights. Support Data Analysis and Reporting: Employees use Copilot to structure performance metrics, track progress against key indicators, and generate reports that inform decision-making. **These functionalities save time, improve comprehensiveness, and can help ensure that critical details are captured.**

  Pilote Secteur des programmes IA cognitive et générative IA générative (texte, images, code)

• 26

  Generative AI in intranet Internet content creation

  Integrate Generative AI capacity right into Drupal CMS to help users create draft content, ease translation, generate images, tags and metadata. Technologie already exists, need to be security reviewed, integrated and configured. Challenge, web infrastructure team capacity

  Idéation Dirigeant principal du numérique IA cognitive et générative IA générative (texte, images, code)

• 246

  GeoAI

  Overview: Potential GeoAI‑Impacted Programs and Processes GeoAI (the integration of geospatial data, AI, and machine learning) is being explored to enhance decision‑making, efficiency, and service delivery by automating spatial analysis, identifying patterns at scale, and enabling predictive insights. 1. Program and Service Delivery GeoAI can support more targeted, timely, and evidence‑based services by: Identifying spatial patterns in environmental, socio‑economic, or ecological data Prioritizing areas for intervention, monitoring, or investment Improving accessibility and equity of services through location‑based insights Examples Risk‑based prioritization of inspections, monitoring sites, or enforcement activities Predictive habitat or species distribution mapping to support conservation or fisheries management Enhanced situational awareness for emergency response or environmental incidents 2. Operational Efficiency GeoAI enables automation and scalability in routine or data‑intensive operations, reducing manual effort and turnaround times. Examples Automated feature extraction from satellite imagery, aerial photos, or LiDAR (e.g., shoreline change, infrastructure, habitat types) Near‑real‑time monitoring of environmental conditions or operational assets Change detection to flag anomalies or emerging risks Operational Benefits Reduced reliance on manual digitization and visual interpretation Faster updates to spatial products and dashboards More consistent and repeatable analytical outputs 3. Business Processes and Decision Support GeoAI can modernize internal business processes by embedding spatial intelligence into planning, reporting, and governance workflows. Examples Predictive analytics to support long‑term planning and scenario analysis Decision‑support tools that integrate geospatial, operational, and administrative data AI‑assisted data quality assessment and metadata generation Process Impacts Improved transparency and defensibility of decisions Better integration of spatial data across programs and systems Enhanced performance measurement and outcome tracking 4. Cross‑Cutting Opportunities Across all domains, GeoAI supports: Data integration: Linking spatial, temporal, and non‑spatial datasets Scalability: Applying consistent analysis across large geographic areas Innovation: Enabling new analytical questions that were previously impractical

  Idéation Dirigeant principal du numérique Automatisation et aide à la décision Analytique prédictive

• 227

  Github Copilot

  GitHub Copilot is being piloted at DFO aimed at enhancing developer productivity and exploring the operational value of AI-assisted coding. Stats: (90-day period) - 27,584 lines of code were accepted - 17,801 prompts were accepted - Potential savings of $144K ($50/hour developer) based on 40 developers

  Pilote Dirigeant principal du numérique Infrastructure et habilitation IA générative (texte, images, code)

• 98

  Guidance on Optimal Timing for Environmental DNA (GOTeDNA)

  Provide guidance on optimal eDNA sampling periods and standardized sampling procedures for assessing and monitoring coastal species using eDNA. GOTeDNA, a centralized interactive online tool currently in development, will report/visualize trends in spatio-temporal eDNA distributions.

  Pilote Sciences des écosystèmes et des océans Automatisation et aide à la décision Analytique prescriptive

• 192

  Harbour Assessments

  Automatically and continuously assess harbour conditions via drone and satellite imagery Solution being developed for Small Craft harbours to assess harbour conditions (presence of ice, usage, vessel and vehicle traffic, change detection) based on drone footage and satellite imagery.

  Idéation En pause Affaires autochtones, aquaculture et gouvernance Perception et compréhension Vision par ordinateur

• 25

  Help DFO employees navigate CDOS structure and services

  CDOS is a large and complex organisation. Leverage AI to help DFO user access services, understand organization structure, identify SME. Expose know procedures and documentation through natural language. Using enterprise search, agents and other tools and technologies. Integrate existing tools such as Viva topics that already uses AI to identify expert based on multiple communication channels Right now multiple initiatives goes in this direction, but no unified vision, (pocket of knowledge) Currently not a great user experience, cdos internal staff oriented

  Idéation Dirigeant principal du numérique Interaction et engagement IA conversationnelle et assistants virtuels

• 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.

  Développement Dirigeant principal du numérique Interaction et engagement IA conversationnelle et assistants virtuels

• 99

  Improved freshwater runoff modelling in Eastern Canada to drive ocean models

  Use Neural Networks to post-process streamflow simulations from the WRF-Hydro model, improving their agreement with observational data. These neural networks are applied as a downstream calibration step. Builds synergy between traditional calibration methods and modern AI techniques in hydrologic modeling.

  Pilote Sciences des écosystèmes et des océans Automatisation et aide à la décision Analytique prédictive

• 103

  Improved understanding of the processes impacting harmful algal blooms

  Using machine learning algorithms to analyze phytoplankton images from the Imaging Flow Cytobot (IFCB) to recognize and quantify species associated with harmful algal blooms.

  Pilote Sciences des écosystèmes et des océans Perception et compréhension Vision par ordinateur

• 113

  Improving forecasting for high-priority ports

  Research into feasibility of improving accuracy and timeliness of short-term forecasts for coastal regions by combining traditional and AI modelling methods.

  Pilote Sciences des écosystèmes et des océans Automatisation et aide à la décision Analytique prédictive

• 114

  InsightBridge: Executive CSAS Summaries

  Uses AI to convert complex, technical CSAS reports into concise, plain-language summaries tailored for executive decision-makers. Enhances leadership understanding and accelerates informed decision-making by providing easily digestible insights. Ensures executives can quickly grasp critical information without sifting through dense documentation.

  Pilote Sciences des écosystèmes et des océans IA cognitive et générative IA générative (texte, images, code)

• 191

  Irish Moss Research

  Automatically and non-invasively detect and assess health of Irish Moss Solution being developed for Science to review hundreds of hours of video for Irish Moss presence and health.

  Idéation En pause Affaires autochtones, aquaculture et gouvernance Perception et compréhension Vision par ordinateur

• 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.

  Développement Dirigeant principal du numérique Interaction et engagement IA conversationnelle et assistants virtuels

• 5

  ITSD knowledge content improvement

  The DFO IT Service Desk is leveraging generative AI (usually Copilot) to enhance its knowledge base articles and Assyst FAQs, which is knowledge intended for clients. This includes creating new knowledge articles, validating and improving existing content, translating materials, and tailoring messaging to different audiences.

  Pilote Dirigeant principal du numérique IA cognitive et générative IA générative (texte, images, code)

• 3

  Labels Pilot

  We are looking into using Labels back end for smart labels as well as a free copilot agent for the departement to use in order to validate a user's classification. if we could fund the "query" fund for the user community we could point the Free agent to consume DFO specific Information on Information Classification. as for the other option we will need to ensure we have items to feed the machine learning.

  Pilote Dirigeant principal du numérique Automatisation et aide à la décision Automatisation des processus assistée par IA

• 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

  Développement Secteur des programmes Interaction et engagement IA conversationnelle et assistants virtuels