Episode #3: Is Data Sovereignty a Myth in the Age of the Cloud

In this episode of the Data Governance 360 Podcast, George interviews Andy Stevens from XOVOX about modernizing unified communication strategies for migrating and governing legacy audio channels. Andy discusses his background in telephone technology and how his company, XOVOX, specializes in extracting recorded telephone conversations from various systems. They discuss the different industries that record phone conversations, such as contact centers, emergency services, and stock trading floors, and the reasons behind it, including quality assurance, compliance, and evidence for legal proceedings.

In this episode of the Data Governance 360 Podcast, George Tziahanas, VP of Compliance at Archive 360, interviews Joe Shepley from Alvarez & Marsal about data disposition and deletion. They discuss the shift from data retention to data deletion, the legal obligations and risks associated with keeping data beyond its useful life, and the importance of implementing a systematic and consistent process for data deletion. They also highlight the regulatory requirements for data deletion, such as New York DFS Part 500 and California CPRA, and the potential consequences of non-compliance, including fines and reputational damage. They emphasize the need for organizations to approach data deletion as an enterprise information governance initiative and to establish clear accountability for the process.

In this podcast episode titled "The Growing Importance of Data Governance in an AI-Driven World," George Tziahanas, VP of Compliance at Archive 360, interviews Michael Rasmussen, an analyst and expert in governance, risk, and compliance (GRC). They discuss the role of data governance in the context of AI and analytics, as well as the regulatory landscape surrounding AI. Rasmussen emphasizes that data governance is the foundation for AI model governance and risk management. He highlights the risks associated with the uncontrolled use of AI, such as legal liability and exposure of sensitive information. Rasmussen also explains that data governance ensures data quality, security, and compliance, which are crucial for effective AI and analytics. He mentions the EU AI Act as an example of AI-specific regulation and discusses its requirements, including data quality, protection measures, and adherence to ethical standards. Zahanis and Rasmussen also stress the importance of trust and governance in data and AI systems, and they recommend organizations to approach data governance and AI governance in a way that enhances integrity and trust.

In this episode of The Data Governance 360 Podcast, Marie Patterson interviews Christopher Beasley, the CEO of Edge Digital Group, about data, records management, and analytics in the federal government. Beasley discusses the challenges and opportunities of managing data in various formats, including paper, microfilm, and outdated digital formats. He emphasizes the importance of converting and curating old data to extract value and support analytics. Beasley also highlights the changing role of records managers in the federal government, who now need to focus on data preservation, validation, and presentation to support IT and data analytics teams. He discusses the technical debt associated with outdated systems and the need for agencies to invest in modernizing their data management practices. Beasley also mentions the upcoming conference of the Greater Washington DC chapter of ARMA, where the focus will be on the brave new world of records management. The conversation concludes with a discussion on the importance of data accuracy, security, and governance in the context of AI and analytics.

In this episode Michael Rasmussen, an expert in governance, risk management, and compliance (GRC) discusses the importance of Data GRC in today's evolving landscape. In this episode you will learn: why the need for integrated data governance strategy and technology utilization is more important today tan ever the changing role of Chief Data Officer in leading data GRC efforts what challenges CDOs face in data governance, including data discovery, lifecycle management, and access control some of the recommendations for prioritizing data GRC, building frameworks, and leveraging technology how to make a business case for data GRC and what cost considerations you should consider