Trusted AI governance: a new model for responsible innovation
As organizations increasingly rely on artificial intelligence (AI) to guide critical decisions, the need for efficient AI management and governance becomes more essential. Key concerns like compliance, secure data, and ethical AI practices need to be continuously addressed without slowing innovation or compromising on trust.
The KPMG Trusted AI framework, powered by the IBM watsonx portfolio, helps organizations monitor and govern their AI solutions with confidence. This integrated approach reduces risk, streamlines oversight, and enhances operational efficiency.
At the heart of this solution is watsonx.governance, an end-to-end tech enabled platform designed to manage, direct, and monitor AI systems across the enterprise. It supports productivity and accelerates the adoption of generative and Agentic AI within the bounds of the AI intake and lifecycle processes.
Together, KPMG and IBM deliver a transformative model for AI governance that includes:
- Effective lifecycle governance: Automating oversight across the end-to-end lifecycle.
- Compliance and accountability: Aligning with regulatory and internal standards while maintaining audit trails throughout the lifecycle.
- Scalability and innovation: Future-proofing governance to meet growing data and user demands.
- Effective monitoring of AI solutions: Helping client monitor metrics to assess any business impacts arising from model and data drift.
Discover more about IBM watsonx.governance and connect with us to learn more
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