AI & ML Research 24 Hours

Last updated: June 21, 2026, 11:30 PM ET

AI & ML Research

Samsung Electronics deployed ChatGPT Enterprise and Codex to its global workforce, representing one of OpenAI's largest enterprise rollouts to date. This move signals a significant adoption of generative AI tools within large corporations for internal productivity.

Understanding how large language models interact with external systems is central to developing more capable AI agents. The concept of tool calling is fundamental to this, enabling LLMs to access data and execute actions beyond their core training. This capability is vital for AI agents to perform complex tasks and respond dynamically to user requests.

For enterprise document processing, retrieving structured information from unstructured or poorly formatted PDFs remains a challenge. Techniques like Retrieval-Augmented Generation (RAG) can be adapted to reconstruct document structure, such as a table of contents, even when PDFs lack built-in outlines. This involves identifying and aligning sections to improve document comprehension and data extraction accuracy.

In self-service business intelligence environments, the creation of robust date tables is a common requirement for time-series analysis. While traditionally handled with specific coding languages like DAX, alternative methods are emerging, offering new possibilities for data analysts to build these essential components directly within their workflows without relying solely on upstream data pipelines.