Articles

In today's data-driven working environment, all organisations face the critical challenge of managing vast amounts of sensitive data, including data related to their financial resources.  Effective governance of financial data assets has emerged as a crucial discipline, ensuring data accuracy, regulatory compliance and informed decision-making.

The way organisations manage records is changing. In a world with exponentially growing digital repositories, and increasingly dangerous risk, automation, AI-driven classification, and seamless integration into business processes are now essential to ensure compliance, security, and efficiency.

In an era where data management challenges are multiplying exponentially, information professionals have a new resource at their disposal. The American Library Association's Neal-Schuman imprint has published the third edition of "Records and Information Management," a reference text for both students and RIM professionals.

"Data Management is witnessing its ChatGPT moment,” claims Rohit Choudhary, founder and CEO of Acceldata, which has just launched its own Agentic Data Management (Agentic DM) platform.

There is a significant disconnect between businesses' ambitions for AI and their investment in compliance and risk mitigation, according to the Ataccama Data Trust Report 2025: Turning Compliance and Risk Mitigation into a Foundation for Strategic AI, which found that that one in five businesses lack a data governance framework.

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