The Data Governance 360 Podcast Podcast Por Archive360 arte de portada

The Data Governance 360 Podcast

The Data Governance 360 Podcast

De: Archive360
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 Let us be your guide to data management in the digital age. On this journey we will discuss today's challenges in data management including: regulatory requirements, records management, data sovereignty, data migration, data security and data archiving. This information is provided free of charge by Archive360 (www.archive360.com)Copyright Sharon Marcone
Episodios
  • Episode 44 - Modernizing Unified Communications: Strategies for Migrating and Governing Legacy Audio Channels

    Episode 44 - Modernizing Unified Communications: Strategies for Migrating and Governing Legacy Audio Channels
    Jun 26 2024
    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.

    • They also talk about the evolution of recording technologies, from magnetic tapes to hard disks to cloud-based systems. Andy explains how XOVOX helps clients convert and migrate their legacy audio channel content to open formats like WAV or MP3, making it easily accessible and playable.

    • They also discuss the importance of preserving metadata associated with the recordings and how it can be used for governance, retention, and search purposes.

    The conversation concludes with a discussion on the ROI and cost considerations of decommissioning legacy systems and the security risks associated with outdated recording technologies.
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    17 m
  • Episode 43 - The Information Governance Problem—Keeping Data Too Long can be Illegal

    Episode 43 - The Information Governance Problem—Keeping Data Too Long can be Illegal
    Jun 12 2024
    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.
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    18 m
  • Episode 42: The Growing Importance of Data Governance in an AI-Driven World

    Episode 42: The Growing Importance of Data Governance in an AI-Driven World
    May 1 2024
    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.
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    19 m
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