Information Management Blog

The AIIM Blog

Keep your finger on the pulse of Intelligent Information Management with industry news, trends, and best practices.

Tori Miller Liu, CIP

Tori Miller Liu, MBA, FASAE, CAE, CIP is the President & CEO of the Association for Intelligent Information Management. She is an experienced association executive, technology leader, speaker, and facilitator. Previously, she served as the Chief Information Officer of the American Speech-Language-Hearing Association (ASHA) and been working in association management since 2006. Tori is a current member of the ASAE Executive Management Advisory Council and Association Coalition for AI. She is a former member of the ASAE Technology Professional Advisory Council and a former Board Member of Association Women Technology Champions. She was named a 2020 Association Trends Young & Aspiring Professional and 2021 Association Forum Forty under 40 award recipient. She is also an alumna of the ASAE NextGen program. She is a Certified Association Executive and holds an MBA from George Washington University. In 2023, Tori was named as a Fellow of the American Society of Association Executives (ASAE).

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Archiving  |  Artificial Intelligence (AI)  |  Information Governance

AI, Archives, and the Future of Information Governance: Key Insights from NAGARA 2025

Recently, I had the pleasure of attending the 2025 NAGARA Annual Conference in Oklahoma City as the closing keynote speaker. Spending two days with government archivists and records administrators gave me valuable insights into what's important to federal, state, and local information leaders. Here are my key takeaways from this thought-provoking event.

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Artificial Intelligence (AI)  |  Data Management  |  Metadata

How to Use Knowledge Enrichment to Transform Unstructured Data

Your organization sits on a goldmine of unstructured data—documents, emails, images, reports—that remains largely untapped. Knowledge Enrichment is the key to unlocking this treasure trove, transforming scattered information into structured, contextual knowledge that powers intelligent automation and drives business success. A new white paper from Hyland "Knowledge Enrichment: Transforming Unstructured Data for Agentic AI and Intelligent Solutions" explains how to use knowledge enrichment to elevate dark data and gain a competitive advantage.

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14 Steps to a Successful ECM Implementation

Making an ECM implementation successful requires planning and attention to detail. The best way to create the right solution is to identify organizational goals and priorities. Learn how to manage a successful implementation in our free guide.

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Data Management  |  Intelligent Information Management (IIM)

Overcoming the Barriers: Practical Solutions for Data and Information Literacy

In my last two posts I defined data literacy and information literacy and then reviewed common barriers to literacy. Now, let's look at solutions to overcoming these barriers.

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Data Management  |  Intelligent Information Management (IIM)

Common Barriers to Data and Information Literacy

In my previous post, I defined data literacy and information literacy. In this post, I'll explore the common barriers to data literacy and information literacy.

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Data Management  |  Intelligent Information Management (IIM)

Bridging the Data (and Information) Literacy Gap

While 90% of business leaders cite data literacy as key to company success, the reality is that most organizations struggle with the critical gap between having data and actually using it to drive meaningful business decisions. In this first of three-part log post series, we’ll explore the definition of data literacy and information literacy and how they relate.

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Artificial Intelligence (AI)  |  Certified Information Professional (CIP)  |  Intelligent Information Management (IIM)

Why Every AI Implementation Team Needs a Certified Information Professional

There is no such thing as an AI initiative or project that doesn't involve data. AI systems depend on structured, semi-structured and unstructured data for development, tasks, and training models. For projects to be successful, you need professionals who understand how to manage and leverage data and have the proven ability to do so.

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