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

Support the show

Other Links
🎙️our podcast links here: https://digitalnexuspodcast.com/
👤Chris on LinkedIn - https://www.linkedin.com/in/pcsinclair/
👤Mark on LinkedIn - https://www.linkedin.com/in/markmonfort/
👤 Mark on Twitter - https://twitter.com/captdefi

SHOWNOTE LINKS
🔗 SIKE - https://sike.ai/
🌐Digital Village - https://digitalvillage.network/
🌐NotCentralised - https://www.notcentralised.com/

YouTube Channel: https://www.youtube.com/@DigitalNexusPodcast
X (twitter): @DigitalNexus

**AI moved fast in 2025. The bigger story? The people building with it.**
In this Year in Review, Chris & Mark recap the biggest themes from the last 13 episodes—what founders got right, where “AI strategy” goes wrong, and why *experts* (not just “humans”) need to be in the loop as tools get more powerful.

We unpack the show’s pivot from a weekly AI news format into deeper interviews (shout out to Ned Warfield for helping trigger that shift), then revisit standout conversations across product, UX, creative industries, mental health, and the Aussie startup ecosystem.

### What you’ll hear in this episode

* **Human-first AI in product & CX:** why “throwing AI into a business” as a checkbox fails, and why workflows + people matter (feat. Charmaine / Frey).
* **AI for lead gen & founder lessons:** Serena’s approach with **Fuzzy**—using AI to extract the right signals and improve how people source and engage leads on LinkedIn/social channels.
* **AI in the creative industry:** how **aiCandy** uses AI to produce commercial-grade output *with pros shaping the work*, plus the reminder that audience taste still sets the rules (even when AI makes “anything” possible).
* **AI for good + psychological safety:** the “burnout is real” thread—tools like Mood AI focusing on prediction, support, and creating safer workplaces (not just shipping tech for tech’s sake).
* **Street-level signal from events:** the South by Southwest episode—real-world “doom vs hope” sentiment, builder energy, and practical security notes (like being cautious with AI browsers + prompt injection).
* **What’s next:** the shift from “human-in-the-loop” to **expert-in-the-loop**, and plans for 2026: more expert-level convos, more live formats, corporate-focused episodes, and roundtable debates on how AI is impacting different generations.

### What we’re taking into 2026

If you’ve been watching AI from the sidelines, this episode is the push to start building—safely, with better data habits, and by learning with the community around you (there are more free communities and helpful founders out there than most people realise).

**Drop a comment:** What was your biggest “AI moment” of 2025—and what do you want us to pull apart in 2026?

Support the show

Other Links
🎙️our podcast links here: https://digitalnexuspodcast.com/
👤Chris on LinkedIn - https://www.linkedin.com/in/pcsinclair/
👤Mark on LinkedIn - https://www.linkedin.com/in/markmonfort/
👤 Mark on Twitter - https://twitter.com/captdefi

SHOWNOTE LINKS
🔗 SIKE - https://sike.ai/
🌐Digital Village - https://digitalvillage.network/
🌐NotCentralised - https://www.notcentralised.com/

YouTube Channel: https://www.youtube.com/@DigitalNexusPodcast
X (twitter): @DigitalNexus

Can AI actually make us more emotionally intelligent instead of more robotic?
In this episode of the Digital Nexus Podcast, we sit down with Dr Nathan Jones – musician, MTV/Nickelodeon voiceover artist turned psychologist, researcher and co-founder of Mood.ai, an emotional intelligence and psychological safety platform for workplaces.

Nathan unpacks his journey from a shy minister’s kid in Adelaide, finding his voice through music and church piano, to winning development deals, doing TV promos, and then burning out on the creative grind.
That path led him into psychology, where his PhD delivered the first empirical evidence that lyrics change how we feel above and beyond the music itself – proof that words and stories literally re-tune emotion.

From there, Nathan built Mood Institute and Mood.ai, translating years of research on colour, emotion and music into tools that help employees answer a deceptively simple question: “How do you feel?” – and help leaders see patterns in psychological safety, risk and culture in real time.

We get into the current AI “branding crisis”, media fear-cycles, and why self-awareness is the real tipping point: if we don’t do our inner work, we’ll point powerful AI tools at the wrong things. Nathan shares how AI can act as a “mirror” for our emotional operating system – reminding us when we’re off track, surfacing patterns in our mood, and nudging us back toward better choices at home and at work.

If you’re a founder, product/people leader, or AI builder trying to use AI for good – to support humans rather than squeeze them – this one hits hard.

Links:
Mood.ai https://www.mood.ai/
Dr Nathan Jones Li https://www.linkedin.com/in/drnathanjones/

In this episode, you’ll learn:

How Nathan’s music and voiceover career shaped his thinking on emotion, storytelling and behaviour change

What his research reveals about how lyrics, colour and sound interact to shift emotional state

Why psychological safety is becoming a compliance issue and a culture issue – and how Mood.ai tries to bridge both with AI-driven check-ins and dashboards

How AI can spot emotional patterns (meetings, weather, relationships, sleep) that we miss, and feed that back as practical coaching

His advice for founders: building products your younger self needed, listening harder to customers, and using emotional intelligence as a real startup advantage

Support the show

Other Links
🎙️our podcast links here: https://digitalnexuspodcast.com/
👤Chris on LinkedIn - https://www.linkedin.com/in/pcsinclair/
👤Mark on LinkedIn - https://www.linkedin.com/in/markmonfort/
👤 Mark on Twitter - https://twitter.com/captdefi

SHOWNOTE LINKS
🔗 SIKE - https://sike.ai/
🌐Digital Village - https://digitalvillage.network/
🌐NotCentralised - https://www.notcentralised.com/

YouTube Channel: https://www.youtube.com/@DigitalNexusPodcast
X (twitter): @DigitalNexus