<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0" xmlns:itunes="http://www.itunes.com/dtds/podcast-1.0.dtd" xmlns:podcast="https://podcastindex.org/namespace/1.0" xmlns:jellypod="https://jellypod.ai/namespace/1.0" xmlns:psc="http://podlove.org/simple-chapters"><channel><title><![CDATA[Data sovereignty and Agentic Ai]]></title><description><![CDATA[examine the strategic tension modern organisations face as they balance the pursuit of innovation with the necessity of risk mitigation and compliance. While executive optimism remains high, many businesses struggle to bridge the ROI gap due to challenges in scaling technologies and managing workforce anxiety. Interestingly, highly regulated sectors like finance often lead adoption because their existing governance frameworks provide a "muscle" for managing complexity. The text also highlights a fragmented global regulatory landscape, contrasting China’s binding legislation with Singapore’s light-touch approach. Finally, the emergence of autonomous AI agents is shifting legal accountability, requiring boards to treat machine-led actions with the same responsibility as those of human employees. (Powered by Jellypod)]]></description><link>https://data-sovereignty-and-agen-wr6no8.jellypod.com</link><generator>Powered by Jellypod (https://www.jellypod.com)</generator><lastBuildDate>Thu, 28 May 2026 11:03:49 GMT</lastBuildDate><atom:link href="https://data-sovereignty-and-agen-wr6no8.jellypod.com/rss" rel="self" type="application/rss+xml"/><pubDate>Tue, 03 Mar 2026 13:48:42 GMT</pubDate><copyright><![CDATA[Copyright 2026 Data sovereignty and Agentic Ai]]></copyright><language><![CDATA[en]]></language><podcast:locked owner="feed+ca5a4538@podcasts.jellypod.com">yes</podcast:locked><podcast:guid>38b5c1ca-13ac-49b9-a633-72115d3a8a84</podcast:guid><itunes:author>Jellypod</itunes:author><itunes:subtitle>examine the strategic tension modern organisations face as they balance the pursuit of innovation with the necessity of risk mitigation and compliance. While executive optimism remains high, many businesses struggle to bridge the ROI gap due to challenges</itunes:subtitle><itunes:summary>examine the strategic tension modern organisations face as they balance the pursuit of innovation with the necessity of risk mitigation and compliance. While executive optimism remains high, many businesses struggle to bridge the ROI gap due to challenges in scaling technologies and managing workforce anxiety. Interestingly, highly regulated sectors like finance often lead adoption because their existing governance frameworks provide a &quot;muscle&quot; for managing complexity. The text also highlights a fragmented global regulatory landscape, contrasting China’s binding legislation with Singapore’s light-touch approach. Finally, the emergence of autonomous AI agents is shifting legal accountability, requiring boards to treat machine-led actions with the same responsibility as those of human employees. (Powered by Jellypod)</itunes:summary><itunes:type>episodic</itunes:type><itunes:owner><itunes:name>Jellypod</itunes:name><itunes:email>feed+ca5a4538@podcasts.jellypod.com</itunes:email></itunes:owner><itunes:explicit>false</itunes:explicit><itunes:category text="Technology"/><itunes:category text="Business"/><itunes:image href="https://auth.jellypod.ai/storage/v1/object/public/CoverImages/org_01KGKGXJ6YBFRYDDYBEYVPTM1V/users/user_01KGKGWXWYCSDJB560KP7Q6MZT/cover-art-1772545721794.jpeg"/><item><title><![CDATA[Data Sovereignty, Governance Muscle, and Agentic AI Liability]]></title><description><![CDATA[In this episode, Greg and Liliana unpack why the most heavily regulated industries are often leading the way on AI adoption, and what that means for data sovereignty and agentic AI. Drawing on fresh 2025 research and expert insights, they explore the growing gap between AI hype and real return on investment, and why a strong "governance muscle" is now a strategic advantage.They discuss how commoditised AI tools are collapsing traditional software moats, making proprietary data the true source of competitive advantage, and examine the messy, fragmented global regulatory landscape from China and the EU to Japan, Singapore, India and Australia. Along the way, they dive into the rise of autonomous, agentic AI systems and the emerging legal view that organisations remain fully accountable for what their AI agents do, just as they are for human employees.Whether you're a startup founder, a middle manager or a board director, this episode gives you a clear, accessible framework for thinking about compliance, data sovereignty and liability in an era where AI is no longer just a tool, but an actor inside your business processes.]]></description><link>https://data-sovereignty-and-agen-wr6no8.jellypod.com/episodes/5c006921-afcc-4bab-afd8-e0cc7946a249</link><guid isPermaLink="false">5c006921-afcc-4bab-afd8-e0cc7946a249</guid><pubDate>Tue, 03 Mar 2026 14:22:02 GMT</pubDate><enclosure url="https://op3.dev/e,pg=38b5c1ca-13ac-49b9-a633-72115d3a8a84/auth.jellypod.ai/storage/v1/object/public/Podcasts/org_01KGKGXJ6YBFRYDDYBEYVPTM1V/users/user_01KGKGWXWYCSDJB560KP7Q6MZT/5c006921-afcc-4bab-afd8-e0cc7946a249/audio.mp3" length="0" type="audio/mpeg"/><podcast:generator uri="https://www.jellypod.com"></podcast:generator><podcast:episode>1</podcast:episode><podcast:transcript url="https://auth.jellypod.ai/storage/v1/object/public/Podcasts/5c006921-afcc-4bab-afd8-e0cc7946a249/captions_1772547711.srt" type="application/x-subrip" language="en" rel="captions"></podcast:transcript><itunes:author>Jellypod</itunes:author><itunes:subtitle>In this episode, Greg and Liliana unpack why the most heavily regulated industries are often leading the way on AI adoption, and what that means for data sovereignty and agentic AI. Drawing on fresh 2025 research and expert insights, they explore the grow</itunes:subtitle><itunes:summary>In this episode, Greg and Liliana unpack why the most heavily regulated industries are often leading the way on AI adoption, and what that means for data sovereignty and agentic AI. Drawing on fresh 2025 research and expert insights, they explore the growing gap between AI hype and real return on investment, and why a strong &quot;governance muscle&quot; is now a strategic advantage.They discuss how commoditised AI tools are collapsing traditional software moats, making proprietary data the true source of competitive advantage, and examine the messy, fragmented global regulatory landscape from China and the EU to Japan, Singapore, India and Australia. Along the way, they dive into the rise of autonomous, agentic AI systems and the emerging legal view that organisations remain fully accountable for what their AI agents do, just as they are for human employees.Whether you&apos;re a startup founder, a middle manager or a board director, this episode gives you a clear, accessible framework for thinking about compliance, data sovereignty and liability in an era where AI is no longer just a tool, but an actor inside your business processes.</itunes:summary><itunes:explicit>false</itunes:explicit><itunes:duration>00:18:33</itunes:duration><itunes:image href="https://auth.jellypod.ai/storage/v1/object/public/CoverImages/org_01KGKGXJ6YBFRYDDYBEYVPTM1V/users/user_01KGKGWXWYCSDJB560KP7Q6MZT/cover-art-1772545721794.jpeg"/><itunes:episodeType>full</itunes:episodeType></item></channel></rss>