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IBM watsonx.governance Technical Essentials

via IBM Training

Overview

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In this course, the learner is introduced to the concept of AI Governance and watsonx.governance, IBM's end to end solution for governing AI models. The narrative follows Anna Parker Chief Risk Officer of an insurance company that is looking into implementing AI Governance.

The course educates the learner in IBM’s holistic and staged approach to establish scalable, sustainable, organizational AI Governance and AI Model Lifecycle Governance.

In the current environment, AI is under more scrutiny than ever before both from internal and external source. With watsonx.governance Anna can create an organized AI team and empower them with dashboards, workflows, and automated alerts to mitigate risks, enhance accountability, improve efficiency and maximize profitability of AI-based projects.

Through video lectures and interactive demos, the learner is educated about the need of implementing AI Governance, IBM's fundamental pillars of trustworthy AI and the challenges that of AI solutions. The course presents how watsonx.governance can be used to govern both predictive and generative AI models from inception to deployment to retirement.

Syllabus

  • Explain the importance of AI Governance
  • Identify the risks that are associated with predictive and generative AI-based projects
  • Outline the solutions IBM products offer to AI Governance
  • Relate EU AI act articles to watsonx.governance capabilities
  • Outline how watsonx.governance can create and govern a generative AI-based project
  • Compare the risks of predictive vs generative AI

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4.2 rating at IBM Training based on 965 ratings

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