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How do I reduce my risk and deploy AI at scale? – TM Forum

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How do I reduce my risk and deploy AI at scale?

Curated by Aaron Boasman-Patel

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  1. Watch the AI Governance Masterclass for an introduction into the AI Governance assets. Learn why governance and explainability are an essential part of your AI deployment and how you can reduce your AI deployment risks by using the TM Forum AI Data Governance assets.

  2. Read the AI Governance Whitepaper to understand the challenges of managing AI at scale and the problems it brings around accountability, auditability and maintenance.

    IG1184: Service Management Standards for AI R.18.5.1

  3. Use the AI Canvas to assess the business goals and outcomes of your AI deployments and assess the risk related to your AI projects at an early stage in terms of governance, costs and performance goals

    IG1238: AI Canvas V1.0.0

  4. Implement the AI Checklists across your organization to made sure critical items are addresses at all stages of the AI lifecycle

  5. Redesign and reengineer your operations processes to enable AI at scale

    IG1190: AIOPs Service Management V5.3.0

  6. Use the AI Model Data Sheet Specification to capture pertinent information about your AI models in a consistent manner across your organization and with partners

    IG1232: AI Model Data Sheet Specification

  7. Implement the TM Forum AI Management Suite API which defines the set of operations that should be offered in order that a Service Provider can govern AI systems at scale

    TMF915: AI Management API Component Suite V4.0.0

  8. Get involved and join the AI Governance Project to contribute to the standards and best practice in this area. Make sure you are at the forefront of thought leadership and and accelerate your AI plans and understand how to deploy safely and securely at scale.

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Member Resources

  • Open APIs
  • Open Digital Architecture
    • Open Digital Component Accelerator (ODA-CA)
  • Open Digital Framework1
    • Business Process Framework (eTOM)
    • Information Framework (SID)
    • Functional Framework
    • Application Framework (TAM)
    • TM Forum Metrics
    • Member toolkits
  • Member resource library
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