Registre des initiatives en IA
Toutes les initiatives inscrites au registre sont consultables ici, sans compte. Chaque fiche montre son avancement, ses jalons et l'historique de ses décisions. Les demandes encore en cours de triage n'y figurent pas : elles rejoignent le registre une fois examinées.
Filtrer 1
63 initiative(s)
-
3
Labels PilotWe 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.
Pilot Dirigeant principal du numérique Automatisation et aide à la décision
-
4
Database Scripting Automationi would like to be able to review the scripts the DBAs run to ensure that we can automate and reduce the administrative workload. if possible we would then be able to provide more opporutnities for the group to do more architecturing then Administrative updates. haven'T delved this through, but i think it would be high value.
Idea Dirigeant principal du numérique Automatisation et aide à la décision
-
8
SAP AI AgentSAP AI Agent to validate financial transaction coding with invoices
Idea Dirigeant principal du numérique Automatisation et aide à la décision
-
10
AI Agent for EGCSAI Agent for EGCS to evaluate Gs&Cs applications from external applicants (not until 2026-27)
Idea Dirigeant principal du numérique Automatisation et aide à la décision
-
15
MyGCHR Phoenix analysisMYGCHR Phoenix analysis tool (Mark Jarvis) to flag incorrect records and recognize future incorrect entries to help cleanup pay files
Idea Dirigeant principal du numérique Automatisation et aide à la décision
-
17
Recruitment and staffing toolsRecruitment and staffing tools (Mark Jarvis) (existing agents created by Microsoft to be explored further)
Idea Dirigeant principal du numérique Automatisation et aide à la décision
-
24
Automated Identification of Vessel Fishing ActivityPiloting use of vessel AIS data with AI to predict probable fishing activity and provide near real time alerts to officers, aiming to boost compliance coverage and response. Action plan for this initiative: 1. Governance: Supervised under compliance analytics team, reporting to C & P management. 2. Guardrails: Apply strict controls (no personal data), validate accuracy in live pilots, monitoring for unintended use.
Pilot Secteur des programmes Automatisation et aide à la décision
-
27
Turn on AI Auto labeling on all M365 documents and communications channelsOur E5 M365 licences grant access to AI based tools in Purview to automatically categorized documents and set labels accordingly. Model training would require attention of an Security/IM expert to make perfect. We may want to create specific AI specific labels to avoid conflicts with officials ones.
Idea Dirigeant principal du numérique Automatisation et aide à la décision
-
31
Quality control of oceanographic data - Maritimes RegionThe goal of the project is to assist in the processing and quality control of CTD (oceanographic) data by leveraging machine learning models to predict quality flags for the CTD data products generated by Maritimes region, enabling faster data processing by reducing manual burden. Initial explorations have been conducted to investigate transferability of existing quality control models from Pacific region. Based on investigation results, new models will be trained specific to Maritimes region. Client: Maritimes Region - Ocean Data
Pilot Politiques stratégiques Automatisation et aide à la décision
-
41
Cyber Security OperationCyber Security Operation Centre has deployed AI/ML in MS Defender (Endpoint Detection and Response (EDR) system), MS Sentinel (Security Incident and Event Management (SIEM) system), Data Lost Prevention (DLP), and Exchange Online Protection (EOP) for real-time threat detection.
Production Dirigeant principal du numérique Automatisation et aide à la décision
-
44
HRMS helpdesk in Power Apps – Power Automate – SharepointUse AI to determine the correct templatae response to client questions. We would like to use Protected B data (helpdesk requests already answered) as training data.
Pilot Ressources humaines et services de gestion Automatisation et aide à la décision
-
45
MyGCHR – Phoenix analysis toolPro B data would be needed, but feed MyGCHR and Phoenix records, but flag those that are incorrect in the hopes of training the AI to recognize future incorrect entries and to help clean up pay files for employees. P&C is in negotiation currently with PSPC to ‘own’ our backlog of Phoenix cases, so this could be a big help.
Idea Ressources humaines et services de gestion Automatisation et aide à la décision
-
47
Recruitment and staffing toolsThere are agents already created by vendors like Microsoft. We would love to explore them futher.
Idea Ressources humaines et services de gestion Automatisation et aide à la décision
-
54
PII & Sensitivity ScoresDetermines the sensitivity of the content of a document based on a trained model and allows for the redaction of the sensitive material in the document. Presidio
On hold En pause Secteur des programmes Automatisation et aide à la décision
-
56
Method Recommendation EngineA large language model reviews a scientist’s objective for collecting data in the field and based on the criteria, the model will provide the best procedure to use for their work
Idea Secteur des programmes Automatisation et aide à la décision
-
59
Clustering to characterize extreme marine conditions for the benthic region of the Northeastern Pacific continental marginWe introduce a method for characterizing extremes that uses machine learning to divide the data into regions with relatively consistent environmental conditions (temperature, oxygen, acidity), and define the extremes based on the historical statistics of variability of each of these fields. unsupervised clustering with k-means
Pilot Sciences des écosystèmes et des océans Automatisation et aide à la décision
-
61
CTD data QC using MLWorking with CDOS office to streamline our CTD QC using ML cnn and others
Pilot Sciences des écosystèmes et des océans Automatisation et aide à la décision
-
65
Comprehensive marine substrate classification applied to Canada’s Pacific shelfWe built five regional and one coastwide substrate model for the BC coast using substrate observations and seafloor bathymetry derivatives and oceanographic predictors using Random Forests. Random Forests
Pilot Sciences des écosystèmes et des océans Automatisation et aide à la décision
-
67
Nearshore biotopes modelmodel to define and map nearshore biotope was developed and presented at CSAS Mar 3-4, 2025 - the paper was accepted with revisions but not to the methods. The model use sdmTMB to predict species and then use k-means clustering method to find species assemblages. Large datasets can be used. R scripts for sdmTMB, k-means cluster, figures
Idea Sciences des écosystèmes et des océans Automatisation et aide à la décision
-
69
Species distribution modelingSpecies distribution models for various coral/sponge/groundfish Random Forests
Pilot Sciences des écosystèmes et des océans Automatisation et aide à la décision
-
70
Data Validation Tool (See B6, B22)Use large language models to help detect errors in data transcribed using optical character recognition. Apply validation rules to propose corrections and normalize data into a standardized format. (Digitizing non-machine-readable (handwritten) documents and extracts characters into a digital format) Llama 3.0 Large Language Model
Pilot Sciences des écosystèmes et des océans Automatisation et aide à la décision
-
75
Study on the use of Artificial Neural Networks to Predict the Return Timing and Northern Diversion Rate for Migrating Fraser River Sockeye SalmonThe Machine Learning feasibility study compliments the statistical approach by asking whether Artificial Intelligence (AI) methods can be developed to predict salmon behaviour as functions of ocean conditions. classical machine learning models, including linear regression, Ridge regression, and Random Forest
Idea Sciences des écosystèmes et des océans Automatisation et aide à la décision
-
83
Daily UseMapping, The AI Assist function in FME has been used to support code development for data processing while integrating and manipulating data in workbenches.
Pilot Secteur des programmes Automatisation et aide à la décision
-
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.
Pilot Sciences des écosystèmes et des océans Automatisation et aide à la décision
-
99
Improved freshwater runoff modelling in Eastern Canada to drive ocean modelsUse 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.
Pilot Sciences des écosystèmes et des océans Automatisation et aide à la décision