AI is transforming today’s business world by personalizing customer experiences and optimizing complex operations. Among the advances driving this digital transformation, generative AI has garnered significant market attention by creating new content, solving business-specific challenges, and unlocking automation opportunities. However, the underlying technology enabling these breakthroughs – foundation models – is where the true revolution lies. These models’ broader capabilities and impact extend far beyond generative applications.

Foundation models, such as BERT, GPT, and Stable Diffusion, are large-scale ML models trained on vast datasets to perform a wide range of tasks. They power chatbots, search engines, code-writing assistants, image generators, and medical research. Integrated into digital transformation’s core, foundation models help organizations efficiently address real-world challenges. However, developing and deploying these models demands significant resources and expertise, highlighting the need for organizations to understand their potential and related trends.

This viewpoint examines foundation models as the fundamental building blocks of AI’s future, exploring their architecture, applications, and challenges. Organizations can use this report to understand foundation models, assess their trajectory, and strategically adopt them to drive innovation and gain a competitive edge.

Scope

All industries and geographies

Contents

In this report, we examine:

• Foundation models’ introduction and brief history
• Characteristics and types of foundation models
• Market overview and provider landscape
• The current state of the market and future outlook

Membership(s)

Artificial Intelligence (AI)

Sourcing and Vendor Management