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Transforming a Legacy Enterprise Culture to a Data-Based Enterprise Culture - with Bikalpa Neupane of Takeda Pharmaceuticals
The AI in Business Podcast
Considerations for Scaling AI and Data Science Projects
Scaling AI and data science projects involves addressing various aspects such as higher inference, training, data center, and hosting costs. It also requires evaluating infrastructure limitations, guardrails for risk assessment and privacy, and ethical considerations. Additionally, scaling involves factors like experimentation, the cost of AI, and the use of different patterns like fine-tuned models or context-based approaches for better results.
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