"The Data Diva" Talks Privacy Podcast The Data Diva E234 - Marko Dinic and Debbie Reynolds
Debbie Reynolds “The Data Diva” talks to Marko Dinic, CEO of Jatheon Technologies, Inc. We discuss the evolving landscape of data archiving, compliance, and artificial intelligence. Marko shares his extensive experience in the archiving space, spanning over two decades, and highlights how regulatory frameworks like Sarbanes-Oxley, GDPR, and CCPA have shaped data retention practices across industries. He explains the complexities of managing data archiving, including challenges with deletion, deduplication, and maintaining audit logs while complying with privacy laws. The conversation explores the growing tension between data retention requirements and privacy mandates, especially in light of AI advancements.
Marko emphasizes how AI-driven systems are transforming corporate data management, creating both opportunities and new legal and compliance concerns. The discussion touches on the evolution of data archiving from being a compliance necessity to becoming a strategic corporate asset. Laws such as Sarbanes-Oxley, GDPR, and CCPA significantly impact how organizations must retain and manage data while balancing individuals’ right to be forgotten. AI complicates data deletion processes, raising new privacy risks as organizations increasingly rely on automated compliance workflows. The growing importance of archiving systems as enterprise-wide data hubs underscores their role in providing AI-driven insights while ensuring regulatory adherence.
As AI continues to reshape the business landscape, organizations must rethink data governance strategies to navigate compliance challenges. AI models introduce complexities in legal discovery and searchability, requiring transparency in how AI-generated outputs are produced and stored. With companies leaning more heavily on archiving to manage the vast amounts of data being generated, data governance, compliance, and privacy concerns will remain central to business strategy. The integration of AI into archiving systems represents both an opportunity and a challenge, requiring careful consideration of legal, ethical, and technological factors to maintain compliance and data integrity.