October 4, 2024
Insights from Information Leaders: Balancing Value, Compliance, and Innovation
At the AIIM Information and Data Leadership Symposium on October 1, 2024, Bill Murphy, CEO of RedZone Technologies, moderated a panel with experts Reggie Henry (ASAE), Candace McCabe (Walmart), and Mark Patrick (US Department of Defense). The panel delved into the value of data and the challenges of innovation in the information management space. Here are my key takeaways from the discussion.
September 27, 2024
AI Readiness Assessment: Preparing Your Organization's Unstructured Data for the Future
I recently had the pleasure of hosting a conversation with Rob Bogue, the core author of AIIM's new resource "Organizational Readiness for Generative AI: Leveraging Unstructured Data for Success." This assessment focuses on how to prepare unstructured data for AI implementation. In this blog post, I'll share key insights from our discussion and highlight the importance of this tool for information management professionals.
September 20, 2024
Market Momentum Index: AI and Unstructured Data Management Report
Stay ahead in the digital transformation journey with exclusive insights from the latest AIIM and M-Files research. This comprehensive report uncovers how businesses are navigating the rapidly evolving landscape of artificial intelligence and unstructured data management.
September 17, 2024
The Rising Importance of Information Management in the Age of AI
As the potential of Generative AI (Gen AI) continues to unfold, one resounding theme emerges: better AI starts with better information management. The ability of Gen AI to deliver reliable and valuable outputs is directly contingent upon the quality and curation of the underlying data.
September 10, 2024
Trustworthiness Is Not a Realistic Goal for AI and Here’s Why
As someone who works closely with information management and AI, I get asked a lot whether or not we should trust the outputs from generative AI. I've come to the conclusion that trustworthiness is not a realistic goal when it comes to AI-generated content. Instead, we should approach everything AI produces with a sense of mistrust and use critical analysis skills in how we approach generative AI output.
September 3, 2024
Match Made in Heaven: Exploring the Relationship Between AI and Information Management
Why are information management and AI even in the same sentence? It's an interesting question. What's the relationship? Well, the answer is simple: there is no AI without information.
August 22, 2024
Overcoming Obstacles to Gen AI for Content Services
While humans are critical to the success of AI initiatives, they may also present obstacles. In this blog post, we will walk through some of the challenges organizations face when implementing AI for content services.
August 19, 2024
Embracing the Role of Educator: Guidance for Information Management Practitioners in the Era of AI
As organizations explore the potential of AI, information management practitioners may face the challenge of being perceived as roadblocks rather than facilitators. However, by aligning Generative AI initiatives with business goals and promoting intentional adoption, these professionals can pivot into a critical educator role.
August 13, 2024
How to Get Started with Gen AI for Information Management
AIIM research shows that many organizations feel ready for AI, but encounter obstacles to implementation, especially a lack of available use cases. Where do organization start with Generative AI (Gen AI)?
August 1, 2024
6 Ways to Protect the Integrity & Usability of Long-Term Digital Information
Is your organization prepared for the future of digital preservation? Protecting critical long-term information is essential for compliance and organizational success. But merely safeguarding data isn't enough—you need to ensure it remains usable and trustworthy over time. Our latest tip sheet provides expert strategies to enhance the integrity and usability of your information for years to come.
July 30, 2024
Organizational Readiness for Generative Artificial Intelligence: Leveraging Unstructured Data for Success
The AI Readiness Assessment is a comprehensive evaluation designed to help organizations gauge their preparedness for implementing and leveraging artificial intelligence technologies. It involves a detailed analysis of various factors, including current technological infrastructure, data management practices, employee skill sets, and organizational culture. The assessment aims to identify strengths, weaknesses, and opportunities within the organization, providing actionable insights and recommendations to ensure a smooth and effective integration of AI solutions that align with business goals and enhance operational efficiency.
July 24, 2024
AIIM's Take on AI Input Transparency Policy
Copyright is intended to incentivize creativity to serve the purpose of enriching the public by providing access to creative work. Generative AI engines use content (aka information or unstructured data) to develop large language models. This content can and often does include copyrighted works.