Data Revolution: Navigating the future of business, AI and innovation

In this episode,  KateCarruthers  and Mark Pesce unpack what it really means for frontier AI models to “escape containment,” from the OpenAI–Hugging Face incident to Anthropic’s Claude Mythos tests, and why the second‑best model today is as powerful as last month’s flagship. They explore how relative superintelligence, agentic behaviour, and container jailbreaks change the threat model for CISOs, and what it looks like to design AI and data governance and safety protocols that protect your organisation’s crown‑jewel data from the very AI tools you’re using.

The future of work is often framed as a story of displacement. That framing misses the point. Work does not disappear. It reorganises.
In this Data Revolution podcast conversation, Pete Evans-Greenwood offers a more useful lens: technology changes work by reshaping tasks and practices over time, not by cleanly replacing roles. History bears this out. From the introduction of zero through to signwriting and now AI, the pattern is consistent. Tools land, but the real transformation happens in how people reconfigure what they do, often well before the technology is fully mature.
More at https://katecarruthers.com/tag/data-revolution-podcast/

Most educators are rushing to adapt to AI without fully grasping its implications – are we teaching students just to use technology, or to critically engage with it? In this episode of the ⁠Data Revolution Podcast⁠ Associate Professor  ⁠Ben Harris-Roxas⁠, a health systems researcher and educator, discusses the kind of radical shift needed to keep human intelligence at the centre of education’s future.In this eye-opening episode, Ben shares how the rapid rise of AI challenges traditional teaching models and why validation and critical thinking are now higher-order skills than ever. Discover how universities are experimenting with embedding AI into coursework, moving away from banning tools to harnessing their potential for deeper learning. We’ll break down:
The importance of critical appraisal in an era of AI-generated content
Why validation is a harder skill than creation and how to teach it
Practical strategies to incorporate AI use ethically and effectively in assessments
How education must evolve to preserve human creativity, messiness, and friction in learning
The implications for workforce preparedness and the future of human-AI collaboration

In this episode, Jason La Greca and Kate Carruthers explore how AI is transforming universities, research, and learning methodologies. Kate and Jason discuss about the evolving landscape of higher education in the context of AI and data. They discuss the challenges universities face in meeting the needs of employers and students, the importance of transdisciplinary learning, and the role of research in driving innovation. The conversation also touches on the impact of AI on workflows, the future of assessment in education, and the need for organizations to regain their capabilities in-house. Jason shares insights from his upcoming book, ‘The Capable Organization,’ which addresses these themes and offers practical steps for educators and institutions.Resources & Links:
The Capable Organization
Claude – AI Language Model
Microsoft 365 Copilot
UTS Transdisciplinary School
Find Jason at https://www.teachnology.global

In this episode of the Data Revolution podcast, KateCarruthers outlines how Microsoft evolved from a traditional software company into a major player in AI and AI infrastructure. She looks at the role of strategic partnerships, including its work with OpenAI, and how a greater focuson open source has shifted its position in the tech ecosystem. The discussion also covers how AI copilots are being used across the various Microsoft platforms, and what this means for governance and competition in the AI market goingforward.