Webinars and Events
Discover the difference ModelOps can make to your AI initiatives
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From Chaos to Control: Data Governance & AI Governance Capabilities for Success with GenAI
Learn how leading enterprises are integrating AI governance into their data strategies, ensuring compliance, and mitigating risk — without slowing down innovation. Featuring speakers from ModelOp, Macula Systems, and Mercy, you'll gain real-world insights on navigating the challenges of GenAI and agentic AI.
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AI Portfolio Intelligence: The Key to Tracking Enterprise AI Value
Discover why treating AI as a strategic portfolio is essential for demonstrating ROI and aligning innovation with business goals. Learn how AI Governance, focusing on the Minimum Viable Governance (MVG) approach, works in parallel with AI Portfolio Intelligence to unlock AI's full potential.
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AI Governance Unwrapped: Insights from 2024 and Goals for 2025
In this webinar, we unpack the key trends from 2024 and looked ahead to 2025. Learn actionable strategies to manage AI portfolios, comply with evolving regulations, and scale your AI initiatives with confidence.
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Episode 9: The Explainable AI Dilemma: How to Build Trust with GenAI and Vendor Models
Building trust in GenAI and vendor models is challenging, but effective AI Governance makes it possible. Learn how traceability, documentation, and monitoring can help your organization manage third-party AI with confidence.
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Episode 8: The Minimum Viable Governance Approach to Complying with the EU AI Act
In this webinar, we share practical and tactical tools and insights for quickly and effectively complying with the EU AU Act requirements, including the February 2025 deadline on prohibited systems.
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2024 AI Governance Leadership Summit
Revisit the 2024 AI Governance Leadership Summit, where ModelOp and a community of business leaders in AI, innovation, risk, and security came together to share insights and real-world experiences. We explored what it takes to push beyond research, experiments, and pilots, and bring GenAI to market efficiently, ethically, and responsibly.