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However, only around 20% have implemented comprehensive programs with frameworks, governance, and guardrails to oversee AI model development and proactively identify and mitigate risks. Given the fast pace of AIdevelopment, leaders should move forward now to implement frameworks and mature processes.
Additionally, the dynamic nature of AI models poses another challenge, as these models continuouslylearn and evolve, leading to outputs that can change over time. Transparency and Explainability Enhancing transparency and explainability is essential. This involves human experts reviewing and validating AI outputs.
This follows a wave of AI factory investments worldwide, as enterprises and countries accelerate AI-driven economic growth across every industry and region: India : Yotta Data Services has partnered with NVIDIA to launch the Shakti Cloud Platform , helping democratize access to advanced GPU resources.
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