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A robust Records and Information Management program is the cornerstone of today’s digital shift and advancing AI technologies. Let’s explore 3 challenges to overcome as you chart the course to your digital future.
From massive cleanup projects and rapid technology advances to data overload and developing security threats, the need for forward-looking Records and Information Management (RIM) practices has never been more critical. Artificial intelligence (AI) is rapidly changing the data landscape, creating both opportunity and a cascading flurry of evolving regulations.
As a RIM leader, you are uniquely positioned to navigate your organization through these changes, not only safeguarding data but also uncovering opportunities for collaboration. The strong foundation established in your organization’s records program can (and will!) carry you through even the murkiest of waters.
Here are three of today’s biggest challenges to overcome as you chart the course to your digital future:
The reasons behind an organization’s inability to tackle records cleanup can vary, ranging from limited resources or a lack of visibility to the sheer size and complexity of a potential cleanup project. Missing record codes, unknown contents, and commingled files significantly complicate this process and put records cleanup—and control—on hold. The result of inaction is the same no matter the reason: you cannot make confident, defensible decisions about your legacy records that allow you to move forward with other priorities. You will also continue to incur unnecessary costs and risks. Understanding what you have and making smart decisions on records disposition is still one of the biggest challenges facing information leaders today.
The concept of a paperless office has been around for decades, but many organizations have yet to achieve it. The path to paperless is often complicated by a lack of strategy and resources that can slow progress and dampen enthusiasm. The way forward is never to “digitize everything.” A balanced approach to digitization that assesses requirements for access, litigation, AI, and other priorities ensures that the right choices are made for your organization’s budget and goals—and that you’re not simply transferring a lack of control of your paper records to a digital format.
As we’re all keenly aware, AI is rapidly revolutionizing how organizations do business. The impact of AI on Data and Information Governance is changing the information landscape as we speak. Organizations worldwide are embracing AI and advanced analytics tools in order to operationalize their high-value data. By strategically deciding what paper records to digitize, RIM leaders can augment data for AI models and ensure greater insights and more accurate results.
Organizations across the globe are grappling with exponential data growth, creating even greater volume issues than they did with paper records. A significant portion of that data—whether structured or unstructured—is often redundant, obsolete, and trivial/transitory (ROT). This ROT data not only occupies valuable storage space but also hinders efficient information management, leading to increased costs, security vulnerabilities, and impaired decision-making.
Addressing your program’s data hygiene complexities requires a systematic approach, involving the classification of ROT data, purging and archiving redundant data, understanding your data supply chain, and readying data for use in AI. This process can begin as far back as your physical records cleanup. After all, clean paper records = cleaner digital data.
The path to an optimized digital future might be more attainable than you think. While challenges abound, so do the possibilities brought on by gaining control of your records and embracing emerging technology.
Iron Mountain is your partner to store, protect, govern, and transform your organization’s most valuable assets. Explore Iron Mountain’s Smart Records Cleanup Suite to see how we can help you get started on your records cleanup journey.
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As it integrates into the global economy, artificial intelligence (AI) is having a profound impact on Information and Data Governance. Every day, the landscape evolves. The latest Iron Mountain Education Series discussion explores the implications of AI on the economy, regulatory structures, and data management.
How can your organization position itself for success in an era of digital transformation, artificial intelligence (AI), and machine learning? Let’s explore the goals for a digital strategy and how to build a foundation for success.
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