KMWorld 2024 day 2 continues the discussion around the new KM paradigm: AI and knowledge workers

How AI Changes the KM Paradigm

Generative AI and large language models (LLMs) are reshaping the landscape of corporate knowledge management, heralding a new era where technology speaks our language and enhances our work. Over the past year, retrieval-augmented generation (RAG) has emerged as the premier method for applying LLMs to corporate content, proving its value in real-world applications. However, the journey doesn't end with RAG; in fact, it’s just the beginning.

Jeff Evernham, chief strategist and evangelist, Sinequa, showed how AI is transforming KM with real-world examples of organizations' use of RAG to unlock the full potential of their knowledge; introduced our new digital colleagues, AI-powered assistants that work alongside knowledge workers, to enhance productivity and decision making; and looked into the future with at multimodal AI and agents poised to perform complex tasks and accelerate innovation.

“This arc of what’s changing in KM is new,” Evernham said. “These LLMs have entered the scene and changed everything.” Computers have learned how to speak with their users, he said, and that is fundamental.

KMWorld returned to the J.W. Marriott in Washington D.C. on November 19-21, with pre-conference workshops held on November 18.

KMWorld 2024 is a part of a unique program of five co-located conferences, which also includes Enterprise Search & Discovery, Enterprise AI World, Taxonomy Boot Camp, and Text Analytics Forum.