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The Chief AI Officer's Handbook
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Understanding and implementing deterministic, probabilistic, and generative AI can be daunting for businesses, regardless of size or industry. Each type of AI comes with its complexities and challenges, making it essential for organizations to grasp their nuances and applications. To highlight their significance, let’s explore some pain points and challenges that are enriched with compelling examples and data.
Deterministic AI, with its rule-based approach, seems straightforward at first glance. However, the devil is in the details. One of the primary challenges is the rigidity of deterministic systems. These systems operate within strict parameters, making them less adaptable to changes or unexpected inputs. For instance, a deterministic AI system in manufacturing might control robotic arms precisely, ensuring consistent product quality. But what happens when a sudden change in raw...
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