IBM’s Watsonx Provides a Foundation for Generative AI
Analyst Perspective
It is a mark of the rapid, current pace of development in artificial intelligence (AI) that machine learning (ML) models, until recently considered state of the art, are now routinely being referred to by developers and vendors as “traditional.” Generative AI, and large language models (LLMs) in particular, have taken the AI world by storm in the past year, automating and accelerating the development of content, including text, digital images, audio and video, as well as computer programs and models. We are at the very early stages of identifying enterprise use cases for generative AI but expect adoption to grow rapidly and assert that through 2025, one-quarter of organizations will deploy generative AI embedded in one or more software applications. Vendors already well-established in AI and ML, such as IBM, are introducing products and services designed to help customers adopt reusable foundation models for generative AI alongside existing task-specific ML models.