Which of the following is a component of Cisco AI infrastructure?

A critical component of Cisco AI infrastructure is the data and AI pipelines. These pipelines are integral for the collection, processing, and management of data, which are essential for training AI models and delivering AI-driven insights. They facilitate the flow of data from various sources, through processing stages, and ultimately to the AI algorithms that analyze the data. This flow ensures that the AI applications have access to high-quality, well-structured data, which enhances their effectiveness in delivering accurate predictions and insights.

While other options may intersect with aspects of technology and data utilization, they do not form the foundational infrastructure necessary for AI deployment at the level that data and AI pipelines do. Cloud-based analytics, for instance, can provide valuable insights but relies on underlying data pipelines to source and process the relevant information. Similarly, virtual reality integration and mobile application development are application areas that can utilize AI technologies but are not themselves components of the AI infrastructure. This distinction underscores the importance of having robust data and AI pipelines as a fundamental element of effective AI capabilities within an organization.