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Who’s Accountable for AI and its Risks? Why Enterprise CEOs Need to Assign AI Ownership Now
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What Is Your Organization's AI Maturity?

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Q1: Are the majority of your investments this year focused on making data accessible for data scientists and building models?
Q2: Are your main priorities for this year focused on pipelines and/or experiment management?
Q3: Is the data science team driving the production operations initiatives within a business unit?
Q4: For deployment, are you primarily looking for a deployment tool that only deploys models as docker containers?
Q5: Are your main “production operations” priorities centered on monitoring data drift and model performance, and retraining?
Q6: Is your desired state to have a centralized, enterprise group that owns the production operations of all models across all business units?
Q7: Do you have more than 3 model development tools across all business units?
Q8: Is there pressure from executives to provide holistic model governance across all business units?
Q9: Do you have more than 5 models being used 24x7?

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Govern and Scale Enterprise AI Initiatives
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ModelOp is the leading AI Governance software for Global 2000 enterprises and helps safeguard all AI initiatives — including Large Language Models (LLMs), generative AI, in-house, third-party, and embedded systems — without stifling innovation. Through automation and integrations, ModelOp empowers enterprises to quickly address the critical governance and scale challenges necessary to protect and fully unlock the transformational value of enterprise AI — resulting in accountability, transparency, robustness, and fairness of AI systems.