How does IBM Watson relate to Cloud computing?

How does IBM Watson relate to Cloud computing?

• A. It is only available on local servers
• B. It provides services through cloud deployments
• C. It does not utilize Cloud computing
• D. It offers services that are only accessible offline

Answer: (B)

IBM Watson relates to cloud computing primarily by providing services through cloud deployments. This allows Watson's powerful artificial intelligence capabilities to be accessible over the internet, making it easier for businesses and developers to integrate its functionalities into their applications without needing significant on-premise infrastructure. By leveraging cloud computing, IBM Watson can operate with high scalability, enabling users to process large amounts of data quickly and efficiently while also offering flexibility and reduced costs associated with maintaining hardware. Cloud deployment fosters collaboration and accessibility, ensuring that Watson’s services can be utilized anywhere with an internet connection. In contrast, the other options limit Watson's use or suggest outdated models. Exclusive reliance on local servers or offline services does not align with the current trends in AI, where cloud-centric approaches are favored for their efficiency and capabilities.

IBM Watson relates to cloud computing primarily by providing services through cloud deployments. This allows Watson's powerful artificial intelligence capabilities to be accessible over the internet, making it easier for businesses and developers to integrate its functionalities into their applications without needing significant on-premise infrastructure.

By leveraging cloud computing, IBM Watson can operate with high scalability, enabling users to process large amounts of data quickly and efficiently while also offering flexibility and reduced costs associated with maintaining hardware. Cloud deployment fosters collaboration and accessibility, ensuring that Watson’s services can be utilized anywhere with an internet connection.

In contrast, the other options limit Watson's use or suggest outdated models. Exclusive reliance on local servers or offline services does not align with the current trends in AI, where cloud-centric approaches are favored for their efficiency and capabilities.