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Learning Library
Learning Library
Don’t have time to watch a full webinar? Catch up on what you missed in our Learning Library.
Explore hot topics, the latest trends, and expert advice from the Iron Mountain Education Series in quick, shareable, and easy-to-digest videos.
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The flip side of retention: Strategic resource prioritization and digital transformation
Before you begin the process of physical records cleanup—or if you’ve already started but aren’t making the progress you hoped—creating a strategy that secures stakeholder buy-in, considers potential actions, and prioritizes those actions is important.
The flip side of retention: Solving old problems with new technology
The application of technology, automation, and AI has made records cleanup more attainable than ever before. Today’s tools can help remove not only the time and cost associated with manual cleanup but also the subjectivity of disposition decision-making that can put your organization at risk.
Beyond the box: How do we define data vs. record?
Determining data versus record can complicate how the retention of each is defined and decided. Data is usually seen as individual building blocks that only gain meaning when assembled into a coherent structure. In contrast, records are structured and contextualized data that document decisions, actions, or transactions.
Beyond the box: Retention strategies in modern organizations
The world of records management is on the cusp of significant change. As both a user of data and a creator of records, artificial intelligence (AI) presents new challenges and opportunities. The effectiveness of AI depends on the quality of the data it works with, and there are still challenges to be addressed in terms of terminology, context, and ownership.
Beyond the box: The important role of Data Governance
Information Governance (IG) and Data Governance (DG) don’t work alone. By bringing the disciplines together, we can avoid data silos—those isolated pockets of information that no one can seem to find.
Information Governance in the age of AI: Trends in the rise of AI in large organizations
The rise and swift integration of AI has brought new concerns related to risk management across the globe. Central to these concerns is Information Governance, which plays a pivotal role in understanding and managing the risks associated with AI technologies and their impact on information, data, and records.
Information Governance in the age of AI: Where is AI increasing the risk in Data Governance?
The focus on regulating AI should not only protect customers but also establish a foundation of trust in AI technologies themselves, and the data used for modeling, which is essential for their successful integration.
Information Governance in the age of AI: Building trust in data for successful AI strategy
In the age of AI, it’s more important than ever to integrate your organization’s data supply chain within organizational controls and governance frameworks. How are your vendors using AI? Where do your AI models source their data sets? This governance of data is at the heart of AI adoption and its implications for the future.
Data Governance vs. Information Governance: Navigating AI with IG
The foundational work of Data Governance in maintaining accurate and reliable data is more critical than ever. The best use of AI emerges from having up-to-date, accurate, reliable data that is well-organized and properly protected from unauthorized access.
Digital detox: Balancing technology and human expertise in data management
While technology can help manage ROT data, it’s crucial to have people and processes in place to tackle the issue effectively. Organizations that are readily adopting technology to solve for today’s data management must strike this critical balance.
Digital detox: Ensuring effective data management and organizational engagement
How do today’s organizations get buy-in for their increasingly complex data management efforts? Finding engagement across your organization is key for lasting change.
Digital detox: Setting milestones and strategies for ongoing data management
Data cleanup is not a one-time task but an ongoing process that requires regular reviews and updates. New data is constantly being created, and the problem of data overload will continue to accumulate in the wake of AI’s rapid expansion. Here are some tips for getting started.
Digital detox: How today’s organizations are combating ROT data
Surges in data volume are front and center for today’s information managers. Redundant, obsolete, and trivial (ROT) data increases your risk exposure and devalues your digital assets. Experts from our recent 2024 Education Series session share practical advice for your next data cleanup project.
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