Generative AI Under Control: Real-World Governance Examples
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In this video, Vyoma Gajjar discusses the future of AI governance in 2024 and beyond, highlighting the importance of productionizing Gen AI methods, augmenting traditional AI practices, and addressing governance challenges. She outlines the key pillars of governance, including risk management, compliance management, and life cycle governance, and provides examples of using generative AI including for social media sentiment analysis.
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#AI #MachineLearning #AIGovernance #MLGovernance #GenAI #GenAIGovernance
Learn more about the technology → https://ibm.biz/BdK7Td
In this video, Vyoma Gajjar discusses the future of AI governance in 2024 and beyond, highlighting the importance of productionizing Gen AI methods, augmenting traditional AI practices, and addressing governance challenges. She outlines the key pillars of governance, including risk management, compliance management, and life cycle governance, and provides examples of using generative AI including for social media sentiment analysis.
AI news moves fast. Sign up for a monthly newsletter for AI updates from IBM → https://ibm.biz/BdK7Tx
#AI #MachineLearning #AIGovernance #MLGovernance #GenAI #GenAIGovernance
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