Rolling Out AI at Work? Fix Your Data Governance First w/ Ed Morris from Transform LogiQ скачать в хорошем качестве

Rolling Out AI at Work? Fix Your Data Governance First w/ Ed Morris from Transform LogiQ

AI is moving fast. Your data foundations probably aren’t. We sit with with *Ed Morris from Transform Logic* to break down the practical steps teams need to take before they roll out AI tools across the business. You’ll hear why *legacy systems and “unknown data”* are still the biggest hidden risk, how *data leakage* happens in day-to-day workflows (including what people paste into ChatGPT), and why spending an extra hour getting governance right can save days—sometimes **millions**—later. Ed explains how Transform Logic helps organisations: *Find and classify sensitive data* (so you actually know what you have, where it lives, and who can access it) Set up *information governance* that supports innovation (so AI governance isn’t a handbrake) Reduce risk while meeting *Australian privacy obligations* and preparing for tighter regulation and enforcement AI rollout is rarely a “tool problem” — it’s a *people, culture, and education* journey. Who this episode is for If you’re a *CIO, CTO, CISO, Head of Data, Product leader, founder, or ops lead* trying to introduce AI safely (without creating a compliance nightmare), this one is for you. Keywords to help this rank (naturally embedded) AI governance, data governance, data sovereignty, information governance, data leakage prevention, sensitive data discovery, data classification, Australian Privacy Principles, AI risk management, legacy systems, privacy compliance, enterprise AI adoption, secure GenAI. Chapter Markers 0:00 Welcome + first guest of 2026 (Ed Morris, Transform Logic) 0:32 How to stay secure in the AI era (sovereignty + leakage risks) 8:05 Ed’s background: from building tech to focusing on data + governance 17:16 Legacy systems: why data gets messy fast in real businesses 19:09 What finance teaches about risk appetite and controls 26:07 Practical AI risk management: setting governance that supports delivery 32:15 Mapping your data flows (Salesforce/SAP, onboarding, “where does data go?”) 34:03 Data minimisation and retention: the “CV” example and why it matters 46:11 Discover + classify sensitive data (privacy, ISO standards, red flags) 50:02 RAG + embeddings: the hidden “data sent overseas” problem 58:10 Regulation lags reality: how leaders should respond anyway 68:36 Final takeaways + wrap up #AIGovernance #DataGovernance #DataSovereignty #InfoSec #CyberSecurity #Privacy #EnterpriseAI #GenAI #RiskManagement #AustralianPrivacy *Like, subscribe, and drop a comment* with the biggest blocker you’re seeing inside your org: tools, data, or culture.