3-Part On-Demand CIO Series: Manage AI Governance, Trust, Risk & Security

Find out what 3100 + viewers learned about AI trust risk and security management technology framework to safeguard enterprise AI usage and data. 

Rated: 4.8 out of 5

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While 40% of enterprises have embraced GenAI, less than 10% have fully integrated it into their operations. Corporate offices are struggling to implement robust AI governance, while business units are eager to capitalize on AI's potential through POCs and projects. Join this complimentary Gartner AI webinar as a Gartner expert explores and dissects the controls organizations need to implement to move forward safely and expeditiously. Plus, they will present Gartner’s AI TRiSM (Trust Risk and Security Management) technology framework, delving into its key functions to safeguard enterprise AI usage and data. You will walk away from this session with answers to your vital questions and recommended actions to help you achieve your goals.

• Understand how to get started managing AI risks and security threats

• Gain insight into what AI TRiSM functional architecture is

• Explore what AI TRiSM’s technical architecture is and how vendors service the requirements

Join 1600 +  viewers and discover how to enhance AI governance strategies for your AI’s success.

Rated: 4.7 out of 5

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As organizations evolve from pilots to operationalize AI, governance will become crucial to success. To get it right, CIOs and executives must blend governance approaches across the enterprise to align information technology, risk, and data impacts. Join this complimentary Gartner leadership webinar as a Gartner expert covers how a blended approach to governance practices can be structured to manage the many interdependencies that could impact AI's success. You will walk away from this session with answers to your vital questions and recommended actions to help you achieve your goals.

• Align IT, risk and data governance for cohesive AI oversight 

• Collaborate with cross-functional teams for effective governance

• Refine AI governance strategies for your AI’s success

Find out what 2400+ viewers joined to learn how to align AI governance with strategy, investment, risk, value, performance, and resources to drive responsible AI progress.

Rated: 4.8 out of 5

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The criticality, scalability and democratization of AI requires governance to balance the AI’s value with the new risks it poses. AI encompasses a continually evolving technological landscape in which there are trade-offs between scale, performance, explainability, accessibility, speed, skills and cost. Successful AI governance requires an operating model, policies, controls and enabling technologies that can be found in the Gartner Executive AI Governance Playbook. The playbook can be used to design, implement and adjust AI governance, ensuring compliant, ethical, trustworthy and responsible AI. Join this complimentary Gartner webinar as a Gartner expert shares how to evolve AI governance to support AI progress in its focus areas such as strategy, investment, risks, value, performance and resources. You will walk away from this session with answers to your vital questions and recommended actions to help you achieve your goals.

• Establish and evolve an AI governance framework

• Develop effective policies and control to mitigate risks and deliver value

• Learn best practices for scaling AI implementations responsibly

  
  

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