AIIM eDoc Magazine

Many organizations have taken the initial steps with GenAI: they have obtained licenses for LLM usage, have started pilots, and have a growing group of enthusiastic early users. Now they realize that the harder step is turning those pilots into business value. That is where many initiatives stall, because the underlying work has not been redesigned to fit the technology. Buying tools is easy compared with changing how work is defined, routed, reviewed, and measured.

If you work in data and information management, data and information governance, IT, or compliance, you've probably noticed that the certification landscape has gotten crowded. There's a credential for almost everything these days, which makes it a fair question to ask: why are there certifications specifically focused on information management? What makes information different enough to warrant its own body of knowledge, its own exam, its own professional community?

Date: Wednesday, August 12, 2026 Time: 2:00 pm - 2:30 pm ET This webinar is approved for 1 hours of CIP Maintenance Credits. Microsoft 365 Copilot and AI agents are changing how organizations work. They help teams work faster, automate routine tasks, and make better decisions. But there is one challenge many organizations overlook. AI is only as good as the content it can access.

Don't Just Learn AI Governance. Build the Skills to Lead It. Operational AI Governance for Information Leaders is a new five-course series developed in partnership with RecordPoint, built for information management professionals who are being handed AI governance responsibility without the skills to execute it. This isn't theory.

July 6, 2026 FOR IMMEDIATE RELEASE Silver Spring, MD – The Association for Intelligent Information Management (AIIM) today announced a collaborative project with RecordPoint to develop practical AI readiness education for information management professionals. The initiative includes a five-course online learning series and three in-person AI+IM Regional Exchange events scheduled for Dallas, Seattle, and Ottawa in Fall 2026.

Information management (IM) is at a tipping point. Across most enterprises, we are sitting on an uncomfortable combination: explosive data growth, content fragmented across SharePoint and dozens of other systems, mounting compliance pressure, and processes that rely heavily on manual effort to hold everything together. The result is friction and genuine risk. Staff can’t find what they need. Compliance becomes harder to demonstrate.

Machines Can Recommend. They Can’t Be Accountable. In November 1997, I attended my first corporate board meeting. I was 28, and it seemed impressive, a seat on a board of directors at such a young age. However, appearances were misleading. The actual board consisted of me, my brother, our wives, and my mother. Our five children, all under six, were the future board members. The meeting took place at my mom’s kitchen table, while those future members played in Grandma’s living room.

Technology is automating much of what information management professionals have traditionally done: classifying, tagging, labeling, maintaining. That's not a threat if we're willing to evolve. The ability to absorb change, identify new opportunities, and play the human in the loop is going to define who thrives and who gets left behind. The Three Pillars I think about skills as a confluence of three things: technical skills, domain knowledge, and soft skills.

On June 2, 2026, U.S. President Trump signed an executive order titled "Promoting Advanced Artificial Intelligence Innovation and Security." I wanted to offer some thoughts on what this order does and what it means for information professionals. What the Order Does This is primarily a cybersecurity order.

Research That Follows the Community AIIM defines intelligent information management as a practice that integrates people, processes, information, and technology to drive digital transformation and achieve better business outcomes. We invest in regular research to better understand this practice, and the focus of that research tends to reflect the times. In recent years, we focused on understanding the technology ecosystem and how enterprises were, or weren't, adopting AI and automation.