The buzz from the inaugural AI+IM Global Summit is still resonating through the AIIM community, with one topic dominating conversations: agentic AI.
In a timely new white paper, John Newton (AIIM Fellow and Award of Merit recipient) explores this trend in "From Data Overload to Intelligent Insights: The Next Generation of AI-Enabled Information Management."
Looking at Today's AI Through a Historical Lens
Newton compares today's AI developments to previous technology waves that transformed information management. He notes that just as Documentum once used relational databases and client-server architecture to advance content management, today's AI technologies—like large language models (LLMs), RAG, and intelligent agents—are creating similar opportunities for change.
The paper points out common problems in organizations: information silos, reactive data management, and manual processes that waste time and resources. Newton suggests that AI can help shift information systems from simple storage solutions to active tools that improve business operations.
Why Everyone's Talking About AI Agents
At the Summit, attendees were particularly interested in AI agents—a key focus of Newton's paper. These intelligent programs can automate complex workflows, adapt to changing conditions, and be controlled using everyday language.
Newton explains how these technologies can help organizations make better decisions, work more efficiently, improve compliance, and reduce costs.
If you're wondering what AI means for the future of information management, this straightforward paper provides both historical perspective and practical insights about what's coming next. Download the free white paper.
AIIM+ and AIIM+ Pro members can access the complete white paper in the AIIM resource library.
