The emergence of Large Language Models (LLMs) and their applications, such as ChatGPT, signals a dynamic
progression in the field of artificial intelligence (AI). These models promise a future of expert-level precision, high
-speed information processing, and unprecedented productivity. At NTT DATA, we view LLMs as instrumental in reshaping industries, from automating
complex tasks to inspiring revolutionary products and services.
Their integration into business models and customer interactions is a necessity, especially in a world where customers expect personalization and relevance.
However, AI adoption is not without its challenges. Given the novelty and experimental nature of LLM technology, many organizations prefer to validate AI use cases through Proof of Concepts (PoCs) before committing resources to larger initiatives. This is where prototyping becomes invaluable, providing a low -risk environment to assess AI applications and benefits. NTT DATA has embraced this approach, developing an AI Prototyping framework and technology stack to expedite the end - to -end AI prototyping process, allowing our clients to test, validate, and adopt AI innovations swiftly and confidently.
