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Generative AI in the Enterprise
Introduction Generative AI background and concepts Business and technical challenges
Introduction
Ownership of content
Data quality
Model complexity
Ethical considerations
Sustainability
Regulatory compliance
Benefits Use cases Dell and NVIDIA solution architecture Infrastructure component considerations for AI Dell infrastructure and software components NVIDIA infrastructure and software components System Configurations Conclusion References

Ownership of content

Ownership of content

  • There are valid concerns in the enterprise about ownership of output and intellectual property when using some generative AI models. These concerns include issues of accuracy, truthfulness, and source attribution. Data used for training public models, while extensive, might be based on incomplete or outdated knowledge or lead to the inability to verify facts or access real-time information.