December 10, 2024
Long-Term Information Health Check
This self-assessment helps you garner consensus and build your case internally for digital preservation initiatives by getting your stakeholders to answer the questions and identify the risks themselves.
November 21, 2024
From Paintings to Petabytes: Navigating the Information Management Landscape with Shell's Pieter Lokker
Whether you're an IM veteran or just starting your career, this episode offers valuable lessons on connecting dots, demonstrating value, and preparing for the future of information management in a rapidly evolving digital landscape.
November 14, 2024
AI-Driven Information Protection: How Microsoft Purview and Copilot Mitigate Risk and Secure Data
As organizations continue to grapple with evolving data protection requirements, the integration of AI offers a new frontier in securing sensitive information. Join AIIM+ Pro to watch this webinar where we explore how Microsoft Purview, in tandem with Copilot, can transform your approach to risk mitigation and data security.
November 6, 2024
The Government Guide for Microsoft Teams Recordkeeping
Digital workplace tools have become essential for internal communication, collaboration, and productivity — and the need to capture and preserve records from these modern data sources is forcing modern recordkeeping to evolve.
October 28, 2024
AI Driven Information Protection: Leveraging Microsoft Purview and Copilot
Protecting sensitive info and ensuring compliance is vital. Download this tip sheet to learn how Microsoft Purview and Copilot enhance data security.
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 30, 2024
Protecting Long-Term Digital Content
Protect Your Vital Information for the Long-Term. Is your organization prepared to safeguard its long-term digital content? Whether it’s critical business records, legal contracts, or historical documents, ensuring the accessibility and security of these files is essential for regulatory compliance, legal protection, and future decision-making.
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 25, 2024
Unlock the Power of Adaptive Case Management for Your Business
In this webinar, learn to bridge the gap between automation and human expertise, enabling your organization to thrive in the age of the customer.
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.