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.

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18 initiative(s)

Registre des initiatives en IA
ID	Initiative en IA	Statut actuel	Description	Secteur	Région	Catégorie d'IA	Expert en la matière
252	DFO AI Hub Non traduit	Proof of Concept	The DFO AI Hub is a centralized digital platform that demonstrates the application of artificial intelligence technologies to fisheries and...	Politiques stratégiques	Sans région précise	Interaction et engagement	Tran, Tan
250	DFO Data Centre Chatbot Non traduit	Proof of Concept	• Faster access to Data Centre information and processes • Reduced dependency on SMEs and email-based support • Improved staff onboarding an...	Politiques stratégiques	Région de la capitale nationale	Interaction et engagement	Tran, Tan
247	NECTR - Power Apps Solution - AI Copilot integration Non traduit	Proof of Concept	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...	Politiques stratégiques	Sans région précise	Interaction et engagement	Pennie, Colin
231	Smart Assyst Non traduit	Idea	Assyst is point of entry to all CDOS service requests and it covers many of the ITIL and ITSM practices which is the foundation of any IT or...	Dirigeant principal du numérique	Région de la capitale nationale	Interaction et engagement	Laplante, Stéphane
136	Natural Language Process (NLP) Chatbot using retrieval-augmented-generation (RAG) on DFO PAC Site Non traduit	Proof of Concept	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 als...	Sciences des écosystèmes et des océans	Région de la capitale nationale	Interaction et engagement	Winegardner, Amanda
134	LLM Document Chatbot Non traduit	Proof of Concept	Large language model that can help users ask questions to document sets and get answers, summarize key information, and find data with citat...	Sciences des écosystèmes et des océans	Région de la capitale nationale	Interaction et engagement	Winegardner, Amanda
131	EN/FR Translation Model Non traduit	Pilot	A large language model that is trained on the Translations Bureau’s and DFO's language-characteristics (i.e. grammar, annotation, syntax, wo...	Sciences des écosystèmes et des océans	Région de la capitale nationale	Interaction et engagement	Winegardner, Amanda
107	AI tools for translations Non traduit	Pilot	AI translation tools for all non project-specific communications (e.g., emails, meeting notes, internal taskings). Additional AI tools are n...	Sciences des écosystèmes et des océans	Région de la capitale nationale	Interaction et engagement	Winegardner, Amanda
55	Natural Language Process (NLP) Chatbot using retrival-augmented-generation (RAG) on DFO PAC Site Non traduit	Proof of Concept	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...	Secteur des programmes	Pacifique	Interaction et engagement	Quan, Eric
53	LLM Document Chatbot Non traduit	Proof of Concept	Large language model that can help users ask questions to document sets and get answers, summarize key information, and find data with citat...	Secteur des programmes	Pacifique	Interaction et engagement	Quan, Eric
51	EN/FR Translation Model Non traduit	Pilot	A large language model that is trained on the Translations Bureau’s and DFO's language-characteristics (i.e. grammar, annotation, syntax, wo...	Secteur des programmes	Pacifique	Interaction et engagement	Quan, Eric
46	P&C General Chatbot Non traduit	Idea	Instead of using the intranet, this chatbot could help guide employees to P&C services. ADDED FROM ID 44: Use AI to determine the correct...	Ressources humaines et services de gestion	Région de la capitale nationale	Interaction et engagement	Gardner, Leigh
43	PSPC Concierge Non traduit	Idea	In partnership with CDOS and Pay Programs, we are agreeing to test the PSPC chatbot with 50 users, slated to start in June. This test will d...	Ressources humaines et services de gestion	Région de la capitale nationale	Interaction et engagement	Gardner, Leigh
25	Help DFO employees navigate CDOS structure and services Non traduit	Idea	CDOS is a large and complex organisation. Leverage AI to help DFO user access services, understand organization structure, identify SME. Exp...	Dirigeant principal du numérique	Québec	Interaction et engagement	Bussieres, Martin
20	IM Chatbot Non traduit	Proof of Concept	Chatbot to answer Information Management related questions, based on information available on the IM intranet site. This is a work in progr...	Dirigeant principal du numérique	Région de la capitale nationale	Interaction et engagement	Mojgani, Susan
16	P&C General Chatbot Non traduit	Idea	P&C General Chatbot (Mark Jarvis) to guide employees to P&C services instead of using the intranet	Dirigeant principal du numérique	Région de la capitale nationale	Interaction et engagement	Gardner, Leigh
7	Virtual ITSD agent for clients Non traduit	Idea	The next phase for ITSD involves deploying a client-facing chatbot. This virtual assistant will allow DFO employees to interact directly wit...	Dirigeant principal du numérique	Québec	Interaction et engagement	Miousse, Gaétan
6	ITSD internal chatbot Non traduit	Proof of Concept	ITSD is currently implementing a simple chatbot leveraging Copilot, to streamline access to its knowledge base for our agents. This initiati...	Dirigeant principal du numérique	Québec	Interaction et engagement	Miousse, Gaétan

252
DFO AI Hub
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
250
DFO Data Centre Chatbot
• 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
247
NECTR - Power Apps Solution - AI Copilot integration
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
231
Smart Assyst
Assyst is point of entry to all CDOS service requests and it covers many of the ITIL and ITSM practices which is the foundation of any IT organisation - and it has the potential to support most if not all of the ITIL and ITSM practices. The most recent versions of Assyst now have deeply integrated AI functionalities that are embedded in all parts and stages of the IT support process. It includes: A natively integrated Chat Bot for technicians and clients, AI ticket assignment, integration to MS Teams, recommended solutions, automated FAQ generation, natural language system search, risk prediction, conversational coding for Assyst developers, smart ticket assignment and escalation, summarization of knowledge articles, and more Activating and configuring those AI functionalities would require an investment in the Assyst system in order to make it AI ready. There is currently a lot of waste in the various CDOS ITIL practices due to a lack of investment in our ITSM tools. Modernizing Assyst to make it AI ready and turning on many of the newer AI features would joinlty contribute to reduce much of the waste incurred during the delivery of our CDOS services to the organization. It would also be a strong showcase both for CDOS and our clients of the power of AI integrated to a complete service process instead of the common and simple use case of AI conversational agents that may only produce limited and siloed value.

Idea Dirigeant principal du numérique Interaction et engagement
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
131
EN/FR Translation Model
A large language model that is trained on the Translations Bureau’s and DFO's language-characteristics (i.e. grammar, annotation, syntax, words) context. The model’s enables translation to be like those by the Translation Bureau. Training on scientific documents to understand scientific terminology is currently in progress.

Pilot Sciences des écosystèmes et des océans Interaction et engagement
107
AI tools for translations
AI translation tools for all non project-specific communications (e.g., emails, meeting notes, internal taskings). Additional AI tools are needed to translate larger projects, as relying on the Translation Bureau is costly and introduces delays in deliverables.

Pilot 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
51
EN/FR Translation Model
A large language model that is trained on the Translations Bureau’s and DFO's language-characteristics (i.e. grammar, annotation, syntax, words, scientific term) context. The model’s enables translation to be like those by the Translation Bureau. Training on large database of scientific documents (published by Canadian Science Advisory Secretariat) to understand scientific terminology is currently in progress. MADLAD 400 10B (Initially trained on sample of ~100 translated documents, in progress of additional training with published CSAS documents going back to year 2000)

Pilot Secteur des programmes Interaction et engagement
46
P&C General Chatbot
Instead of using the intranet, this chatbot could help guide employees to P&C services. ADDED FROM ID 44: Use 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.

Idea Ressources humaines et services de gestion Interaction et engagement
43
PSPC Concierge
In partnership with CDOS and Pay Programs, we are agreeing to test the PSPC chatbot with 50 users, slated to start in June. This test will determine if a chatbot is a viable solution to answer generic pay quests.

Idea Ressources humaines et services de gestion Interaction et engagement
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

Idea Dirigeant principal du numérique 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
16
P&C General Chatbot
P&C General Chatbot (Mark Jarvis) to guide employees to P&C services instead of using the intranet

Idea Dirigeant principal du numérique Interaction et engagement
7
Virtual ITSD agent for clients
The next phase for ITSD involves deploying a client-facing chatbot. This virtual assistant will allow DFO employees to interact directly with a virtual technician who can guide them to the appropriate IT services on the portal, provide links to FAQs, and offer 24/7 support for simple issues. This will enable our technical staff to focus on more complex tasks that require their expertise.

Idea 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