Where AI is Failing Organizations Without a Semantic Layer: Lessons From the Trenches (with Case Studies)

It has been over three years since OpenAI, an artificial intelligence research company, introduced ChatGPT in November 2022. While artificial intelligence has existed for decades prior, this release and development of Generative AI (GenAI), large language models (LLMs), and their impact on enterprises has been especially wide-reaching, making AI a topic from boardrooms to dinner table conversations. Some organizations were well-positioned to quickly embrace this opportunity from the onset. These early adopters share two key traits: 1) they have already built strong technical foundations, such as modern cloud infrastructures and composable architectures, and 2) they have invested in robust knowledge and data management practices, enabling them to effectively integrate and operationalize their GenAI pilots. For many others, however, the path to AI adoption has been far less straightforward.