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Initiative #32

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CTD Anomaly Detection

Listed in the registry Pilot Original language : English

AI Strategic Operating Model (AI-SOM) Phase B — AI Discovery · Upcoming
Where we are
AI documentation & artifact progress
Pre-phase — Completed
PRE Pre-phase — Completed
Proof of concept
Phase A — AI Strategy — Completed
A.1 Intake & Concept Case
A.1.1 Gather information and generate the Concept Case — Completed
  • Completed : Concept Case
  • Completed : Statement of Sensitivity (SoS)
We are here
Phase B — AI Discovery — Upcoming
B.1 Outcome-Based Roadmap, High-level Architecture, VoAI, and AI assessment — We are here
B.2 Comprehensive Stakeholder Meeting (AI Review AIRB)
B.1.1 Outcome-Based Roadmap and feasibility validation — Upcoming
B.1.2 AI Technical Architecture Review — Upcoming
B.2.1 AIRB presentation — Upcoming
  • Not started : Outcome-Based Roadmap
  • Not started : High-level Architecture
  • Not started : ATIP Assessment
  • Not started : Cyber Assessments (SoS, SA&A, SIP, Audits)
  • Not started : DERAI — Pilot Assess
  • Not started : RISK — Cost, People, Technology
Phase C — AI Development — Upcoming
C.1 AI Model/RAG Development Plan
C.1.1 AI Pilot Development — Upcoming
C.1.2 AI model testing, evaluation and fine tuning — Upcoming
  • Not started : DERAI — Pilot Address
  • Not started : DERAI — Production Assess
Phase D — AI Delivery — Upcoming
D.1 Product Testing, Development, Approvals & Deployment
D.1.1 Deployment Validation — Upcoming
D.1.2 AI Review Approval — Upcoming
D.1.3 Production Release — Upcoming
D.1.4 Monitor Results — Upcoming
  • Not started : AI Production Assessment (AIR — final/approved)
  • Not started : Production readiness assessment
  • Not started : DERAI Monitoring plan / monitoring configuration
  • Not started : Operational support and ownership documentation
  • Not started : Approval records (e.g., CDOS CAB decision), if required

About the initiative

Description of the initiative

The goal of this project is to apply machine learning to detect anomalous oceanographic data, highlighting meaningful physical phenomena in the state of the ocean for closer investigation by scientists. A proof of conept model has been developed to demonstrate feasibility. Further validation is required with the client to verify alignment with the needs of scientists. Client: Pacific Region - Ocean Sciences Division

AI family

Perception and Understanding

AI capability
Environmental/Ecological Modeling, Forecasting, and Classification

Bucket rationale

Detects anomalies/patterns in sensor readings—interprets environmental data, a Perception AI use.

Lifecycle

  1. Ideation

    Stage status : Completed

    May 26, 2025

  2. Assessment

    Stage status : Completed

  3. Approved

    Stage status : Completed

  4. Development

    Stage status : Completed

  5. Pilot

    Stage status : In progress

  6. Production

    Stage status : Upcoming

  7. Archived

    Stage status : Upcoming

Schedule for this initiative

  • Completed
  • In progress
  • Planned
  • Not applicable
  • Today
2025 May Jun Jul Aug Sep Oct Nov Dec 2026 Jan Feb Mar Apr May Jun Jul Aug Sep
  1. Ideation

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Contacts

Requester
Collister, David
Sector contact
Croft, Lee
Subject matter expert
Croft, Lee

Data and tools

Sector
Strategic Policy
Region
National Capital Region
Submitted on
May 26, 2025

Government priorities and declaration

Declared to TBS Recorded as transmitted to TBS; not editable here.

Declared name of the AI system
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TBS registry identifier
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Status declared to TBS
In development
Sent to TBS on
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Purpose of the system, as declared
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