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Enterprise knowledge management in the era of LLMs

Enterprise knowledge management in the era of LLMs

Speaker: Federico Cerutti – Brescia, Italy
Topic(s): Artificial Intelligence, Machine Learning, Computer Vision, Natural language processing , Security and Privacy , Information Systems, Search, Information Retrieval, Database Systems, Data Mining, Data Science

Abstract

This lecture explores how Large Language Models (LLMs) are revolutionising enterprise knowledge management. We begin by examining the evolution of knowledge management systems, from early document repositories and intranets to more sophisticated collaborative platforms and semantic networks. This historical context sets the stage for understanding the revolutionary potential of LLMs in addressing longstanding challenges in knowledge accessibility, relevance, and actionability. We will then discuss key areas where LLMs are reshaping enterprise knowledge management, notably Information Retrieval and Synthesis. LLMs can process natural language queries to extract relevant information from diverse sources, presenting it in coherent, easily digestible formats. This capability significantly reduces the time and effort required for employees to find and assimilate critical knowledge. LLMs are, however, increasingly used for Knowledge Creation and Curation, Personalised Learning and Development, and overall Situational Understanding and Decision Support. We will address key challenges, including data privacy, ethical considerations, and integration with existing systems. We'll also discuss strategies for successful implementation and explore future trends in AI-powered knowledge management. Attendees will gain insights into leveraging LLMs to improve organizational intelligence, productivity, and innovation in the modern business landscape.

About this Lecture

Number of Slides: 30
Duration: 45 minutes
Languages Available: English, Italian
Last Updated:

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