Tag: AI governance
Tamara Weed, Apr, 6 2026
Learn how to implement AI ethics frameworks for generative AI. Move from vague principles to technical practices, bias mitigation, and regulatory compliance.
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Tamara Weed, Mar, 22 2026
Moving from an LLM pilot to production requires more than technology-it demands strategy, governance, and phased rollout. Learn how top enterprises avoid costly mistakes and scale AI effectively.
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Tamara Weed, Jan, 29 2026
Model access controls determine who can use which LLMs and what they can ask for. Without them, companies risk data leaks, compliance violations, and security breaches. Learn how RBAC, CBAC, and AI guardrails protect sensitive information.
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Tamara Weed, Dec, 22 2025
Shadow AI-unapproved AI tools used by employees-is a growing compliance threat. Learn how to identify, govern, and bring these tools into compliance with real-world strategies and regulatory requirements.
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Tamara Weed, Nov, 17 2025
Generative AI is transforming leadership-not by replacing humans, but by freeing them to focus on what matters: people, strategy, and culture. Learn practical steps to lead effectively in the AI era.
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Tamara Weed, Oct, 22 2025
Ethical review boards for generative AI ensure responsible development by evaluating projects against fairness, privacy, and transparency standards. Learn how they work, who's on them, and what outcomes they deliver.
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