Search for tag: "ai governance"
Responsible AI:A Guide to AI GovernancePhaedra Boinodiris shares her expertise on creating a culture of responsible AI and provides actionable tips for implementing AI governance best practices. Gain a deeper understanding of responsible… |
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IBM watsonx.governance: Bring light to the black boxWatch the demo to learn about IBM watsonx.governance and how it helps you govern generative AI and ML models, evaluate and monitor for model health, accuracy, drift and bias, and access powerful… |
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Generative AI Under Control: Real-World Governance ExamplesIn 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… |
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Scaling your business with AI and hybrid cloudHear from Arvind Krishna, IBM CEO and Shadman Zafar, Co-CIO, Citi, on how Citi Bank is using IBM OpenPages as their risk and compliance platform to help them enhance, automate and strengthen… |
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Watsonx.governance: Monitor AI models with Amazon SageMakerIBM watsonx.governance integrates with Amazon SageMaker so you can monitor your AI models. Watch the demo to see how it works |
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IBM watsonx.governance: Direct, manage and monitor your GenAI and ML models, anywhereWatch the demo to learn about IBM watsonx.governance and how it helps you govern generative AI and ML models, evaluate and monitor for model health, accuracy, drift and bias, and access powerful… |
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IBM watsonx at the MastersIBM works with the Masters to design, develop, and deliver the digital experiences found in the Masters app and website. This year, IBM Consulting is using generative AI models developed with IBM… |
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What the EU AI Act means for you and how to prepareWebinar explaining the EU AI Act and how to act so that your business is in accordance. |
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Exercise 7: Monitor the modelThis video accompanies the Managing ModelOps with IBM Cloud Pak for Data V4.8 course, and demonstrates how to use AI Factsheets in Cloud Pak for Data to track AI models in an organization. |
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Model monitoring with IBM watsonx.governanceWatch the demo to see how IBM watsonx.governance brings model monitoring capabilities to both generative AI and machine learning models, including performance metrics and more. Try today. |
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Tracking and transparency with IBM watsonx.governanceIBM watsonx.governance is a one-stop automated toolkit built to govern both generative AI and machine learning (ML) models on the IBM watsonx platform. See how tracking and transparency works with… |
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AI transparency with watsonx.governanceWatch the demo to see how you can use watsonx.governance to fuel transparent AI workloads. To learn more, visit https://www.ibm.com/products/watsonx-governance. |
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Exercise 7: Monitor the modelThis video accompanies the Managing ModelOps with IBM Cloud Pak for Data V4.6 course, and demonstrates how to use AI Factsheets in Cloud Pak for Data to track AI models in an organization. |
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Scale and accelerate the impact of AI with trusted dataIn the ever-evolving landscape of technology, a remarkable door to new opportunities has swung open, courtesy of AI. Astonishingly, a whopping 64% of businesses have embraced the conviction that… |
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Client story with Citi's Marc SabinoMarc Sabino, Chief Auditor at Citi, speaks with Arvind Krishna about how Citi transformed their internal auditing processes with OpenPages, incorporated AI governance to their AI strategy, and look… |
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Accelerate your Data Fabric Journey with Express and Quickstart Offerings.IBM’s new Express and QuickStart offerings lets you kickstart you AI/Data Fabric journey by addressing specific needs quickly – this is ideal for your medium or smaller sized businesses… |