AI Australia Podcast

In the world of FinTech, there are those who talk about AI, and those who ship it. Tracy Moore, GM of AI and Data at MYOB, is firmly in the latter camp. In this episode, Tracy reveals how one of Australia's leading tech innovators is leveraging the latest in generative tech to solve the most enduring challenges for small businesses: time and cash flow. We explore the "AI Sandwich"—a framework for understanding that while the "filling" (the LLM) is exciting, the "bread" (data foundations and UX) is what actually determines success.  Tracy shares a masterclass in building a culture of "AI as a team sport," where cross-functional ambition meets practical execution. From managing parallel streams of "no-regrets" features to exploring the exciting white space of autonomous agents, this conversation is a roadmap for any leader looking to turn complex tech into beautiful, human-centric products. Tracy shares her personal experience of "Vibe Coding" as a modern love language, and why the secret to high-performing AI teams might actually just be... more cake. Key Takeaways: The 20/80 Rule: Why successful AI products are 20% technology and 80% organisational mindset. Building Beautiful UX: Moving beyond the chatbox to create intuitive, invisible AI experiences. The Power of Ambition: How MYOB's executive team set the tone for ambitious AI goals. Practical Guardrails: The importance of "Steel Threads" and rolling out agents gradually to ensure mission-critical accuracy.

We change things up in today's episode and grill two Mantel Leaders, Samuel Irvine Casey and Vihan Patel, who have been in the trenches over the past 12 months building AI and Agentic Solutions. They help us unpack 2025 and predict what 2026 will bring including: The ROI Reality Check: As the hype of 2025 settles, 2026 is framed as the year of accountability, where organisations must prove the economic value of their AI deployments. The Token Economy: we deep dive into the sustainability of AI costs, questioning whether Silicon Valley will continue to subsidise token prices or if costs will spike as models move into high-scale production. Knowledge Collapse & Ethics: We explore the risks of "AI feeding on AI," the potential loss of critical thinking as we increasingly rely on AI generated knowledge, and the importance of new Australian legislation regarding AI traceability. The AGI Debate: we question how imminent "Artificial General Intelligence," including how current progress is driven more by clever engineering and high token usage than a fundamental breakthrough in machine consciousness. If you want to hear more about Samuel's lessons learnt from building Agentic Systems take a look at his blog from 2025: https://mantelgroup.com.au/taking-agents-to-production-our-agentic-ai-approach/ 

Forget building dashboards! The CEO of ThoughtSpot reveals how conversational AI is killing traditional business intelligence and putting a personal, 24/7 data analyst on every employee's desktop. Are you ready to fire your dashboard and start talking to your data and can you trust the answer when you do? In this episode, we talk to Ketan Karkhanis the CEO of Thoughtspot, a former Salesforce and Cisco executive, who explains that "AI is the new BI," arguing that businesses should stop building dashboards and start having conversations with their data. He introduces ThoughtSpot's AI agent, which acts as a personal analyst that provides actionable insights (what, why, and what to do next), with a new "A-Team" of specialised BI agents coming soon. To address trust issues, we explore who you can use deterministic analytics and transparency to combat AI hallucinations and secure enterprise adoption. Ultimately, Keten stresses that successful AI integration—like automating data modeling or transforming his own staff meetings—must be tied to clear corporate ROI and a culture that empowers change across the organization. Read Mantel's recent take on Natural Lanugage insight tools: https://mantelgroup.com.au/dashboards-natual-language-insights/      

Discover how Swimming Australia is diving deep into data and AI to secure Olympic gold! Today we chat to Jess Coronas, Head of Performance Insights at Swimming Australia, and discuss the digital transformation journey of Swimming Australia. From the initial ideation and data driven insights to the development of the groundbreaking Training Insights platform, powered by cutting edge computer vision techniques. Learn why human-in-the-loop AI is crucial for coach buy-in, how data creates a competitive edge, and the future vision for scaling analytics from the 50m sprint to the 1500m race. It's a masterclass in applying design thinking and marginal gains to a high-stakes, world-class sporting environment. Learn more about Mantel and AWS partnering to support Swimming Australia and their Training Insights platform:

What does factory floorplan design during the Industrial Revolution have to do with re-imagining user experiences in the ages of AI? In today's episode, we chat to Dr. Haijun Xia, an assistant professor at UC San Diego and Director of the Foundation Interface Lab, discussing the intersection of Artificial Intelligence (AI) and Human-Computer Interaction (HCI). Dr. Xia, whose work focuses on developing foundational interfaces for the future information environment, explains HCI in simple terms and outlines the criteria for a good user experience, emphasising the need for interfaces that leverage and amplify human cognitive abilities while introducing new capabilities smoothly. We discuss the shift from "one-size-fits-all" interfaces to adaptive and personalised experiences driven by AI and how large language models, allow users to interact at a higher level, simply stating their problem instead of manually performing low-level system manipulations. The conversation delves into the future of product design, including the prospect of personal AI agents that interact with software via APIs on the user's behalf, creating a "digital version of ourselves" and influencing how new products must be designed for both humans and agents.  To find out more about Mantel's partnership with Dr Haijun Xia and download our recent white paper: https://mantelgroup.com.au/mantel-partners-with-ux-leader-and-expert-dr-haijun-xia-to-advance-next-generation-ai-experiences/ Want more detail on Mantel's Exec AI Literacy, visit our website: https://mantelgroup.com.au/ai-executive-literacy-program/  

Join us for a conversation with Sharryn Napier, Vice President for APAC at GitHub, as she discusses leading the company's strategic direction and business growth across the region. Sharryn talks to GitHub's evolution from a code storage platform to the world's leading platform for building software with AI, now supporting over 150 million developers. The episode explores the democratising power of AI in software development, through tools like GitHub Copilot, which lowers the barrier to entry (even for non-coders) and addresses challenges like the language barrier in coding for non-native English speakers. We discuss how enterprise customers, like the Commonwealth Bank of Australia (CBA), are leveraging AI coding agents to manage and refactor significant legacy tech debt, seeing projects completed in a fraction of the time. She highlights that the "risk of not moving fast enough" with AI is now a greater concern than the risk of adoption. The discussion also delves into regional challenges, particularly Australia's flatlining productivity and the tech skills gap. Sharon advocates for AI as a mechanism to work "smarter" and compete globally. She also addresses the future of the developer role, viewing AI as a tool for augmentation, not replacement, that handles tedious tasks, increasing developer happiness, creativity, and shifting the role toward that of an orchestrator.

In this episode, we talk with David Hyman, CEO and co-founder of Lendi Group, the company behind Australia's leading digital mortgage brand, Lendi, and the iconic Aussie franchise. David shares his journey from founding Lendi in 2013 with a vision for digital-first mortgages, to the acquisition of Aussie Home Loans, and the launch of the company's "find, buy, and own" property ecosystem. We chat to David about Lendi Group's bold move to become an "AI-native" business by 2026. David explains that this isn't just about using AI tools, but about fundamentally redesigning the business to be built on an agentic-first model, which he likens to moving from human motion to "agentic motion." He discusses the challenges of this transformation, particularly the people side of change, highlighting the need for C-suite leadership and radical transparency. David also provides key insights for business leaders, emphasising that you can't have a separate AI and business strategy—they must be one and the same. He shares his thoughts on the future of AI-native businesses, the potential risks of this approach, and personal use of AI tools, including an AI-powered life coach and a health diagnostic tool.

In this episode of the AI Australia podcast, hosts Kat and Emma speak with David Brudenell, Executive Director of Decidr, an Australian AI software company. David, a veteran of the tech and venture capital sectors, shares his journey into AI, beginning with a "human-in-the-loop" product he co-founded in 2012. The conversation covers the state of AI today, with David likening the current landscape to the "Palm Pilot era"—a time of remarkable technology being used in the wrong way. He explains that businesses are trying to fit probabilistic AI tools into deterministic, human-centric workflows, leading to inefficiencies. David also discusses his recent research on AI readiness in Australia, revealing that while 83% of businesses see AI as important, less than half are actively implementing it. He attributes this to factors like analysis paralysis and concerns about costs and the rapid pace of model updates. He also advises leaders to treat their AI strategies like "ice cream in the sun," as they will quickly become outdated.

In a world where nearly half of Australians have adopted generative AI, traditional marketing is being reshaped. This episode features Celia Harding, an expert in Language Engine Optimisation (LEO), who explains why brands must adapt their strategies to be visible in AI-generated answers. We discuss the differences between LEO and SEO, how various AI models like Gemini and ChatGPT have unique "personalities" that influence their search results, and why third-party endorsements are more crucial than ever. We also explore the coming wave of "agentic commerce," where AI will make purchases on our behalf, and what brands need to do now to prepare.   If you're interested in finding out more on LEO or LEOPRD....   Download LEOPRD's Reputation to Revenue Report, your roadmap to mastering brand visibility in the age of AI.  Connect with Celia Harding on Linkedin.      Click here to find out more on Mantel and our Executive AI literacy program 

In this episode, we chat with Professor Wil van der Aalst, the "Godfather of Process Mining." He's the brains behind a multi-billion dollar industry that started 25 years ago in his quest to understand what organisations are actually doing, not just what they think they're doing. Wil dives into why he believes companies need to use process mining to get their houses in order before throwing AI at their problems. Using real-world examples—from streamlining a sales process to solving flight delays at an airport—he shows how this tech uncovers hidden inefficiencies and bottlenecks. He also shares his thoughts on why Australia is slower at adopting process mining, even with great research happening in local universities. A key takeaway? Transparency is crucial, but it requires top-down support to overcome resistance to change.

In this episode, May Lam, Chief Information Officer at Australian Payments Plus, shares her incredible journey from a software engineer tackling Y2K bugs to a leading voice in payments and AI. Drawing on her extensive experience across banking, FinTech, and the public sector, May unpacks the transformative power of AI in the financial industry. She outlines three key pillars of opportunity: the "internet of me" for hyper-personalisation, the "economy of we" for shared growth, and the "power of now" for instant, trustworthy services. May also discusses the crucial need for robust AI guardrails, emphasising the importance of data governance, holistic ethical frameworks, and a national strategy to navigate the risks. She provides insights on how AI is projected to impact the Australian economy, predicting a significant shift in the job market by 2030. Highlighting the importance of fostering critical thinking and self-confidence in the next generation, she offers a compelling vision for how we can use AI as a companion and a tool to enhance human capabilities, rather than replace them.

Highlights from Databricks Data and AI Summit 2025   In this special episode of the AI Australia podcast, Kathryn Collier and Emma Bromet report live from the Databricks Data and AI Summit 2025 in San Francisco. The summit which attracts 22,000 attendees to the city and 65,000 in total making it one of the largest Data and AI conferences globally.  The pervasive theme this year was "Data Intelligence" which can be distilled to the democratisation of data and AI – a clear strategic move to bridge the gap between business needs and the complex reality of end-to-end development of AI solutions. We cover off highlights and insights from all the key accouncements including Databricks Free Edition, Lake Base, Databricks Apps, and Agent Bricks, all focused on democratizing data and AI.    Featuring interviews with Simon Johnson, AI Director for APAC at Databricks, and David Schneeberger, Principal Engineer at Mantel who provide in-depth perspectives on these innovations and their implications for the future of Data and AI.

How AI is Reshaping Customer Expectations & Driving Business Value with Sandy Iyer (General Manager, Data Science at Sportsbet) Join your hosts Emma Bromet and Kathryn Collier as they chat with Sandy Iyer, a leading data and analytics executive, currently General Manager of Data Science at Sportsbet. With a career spanning energy retail, financial services, and wagering, Sandy brings a wealth of experience to the conversation. In this insightful episode, Sandy discusses: The Evolving Customer Landscape: How AI has profoundly shifted customer expectations, moving beyond just quality to demand instant gratification, personalised experiences, and ethical brand practices. Practical AI for Business Value: Discover compelling examples of AI in action, from L'Oréal's virtual makeup try-ons to advanced sports analytics. Measuring AI's Impact: Sandy shares a unique five-dimensional framework for evaluating the effectiveness of AI and machine learning models, ensuring they deliver real business value and are trustworthy. Cutting Through the Hype: Learn best practices for businesses to maximise AI ROI, including the importance of an "AI-enabled business strategy" over a standalone "AI strategy," and how to move effectively from Proof of Concept (POC) to Proof of Value (POV) and production. Building Customer-Facing AI: Sandy offers critical advice for developing successful AI products, emphasising the importance of product-market fit, ROI pragmatism, and continuous experimentation. Tune in to gain valuable insights from one of Australia's top analytics leaders and understand how to navigate the rapidly evolving AI revolution.

Because we loved talking to Roo and Danielle SO much in our last episode, we are delighted to bring you another installment of that conversation. In this episode of the A.I. Australia podcast, Kobi and Nat host Roo Harris from Scale Investors and Danielle Haj-Moussa from Main Sequence Ventures to continue our discussion on responsible AI investment in startups.   We explore critical topics such as the importance of responsible AI practices, the challenges startups face in integrating AI, and the role of VCs in setting ethical standards.   The conversation also covers the significance of early-stage AI due diligence, the benefits of explaining AI technologies accurately, and how embracing ESG (environmental, social, and governance) principles can add value.   Key issues such as AI's environmental impact, transparency, and the role of regulation in AI development are also discussed.   Links: Danielle Haj-Moussa (Main Sequence Ventures) Roo Harris Scale Investors  

In this episode of This Week in AI brought to you by the AI Australia podcast, Kobi and Natalie dive into wide-ranging discussions covering recent political events, traversing: The implications of the French and UK election outcomes, and their relation to technology. AI's role in the U.S. presidential elections Tech sector developments like Meta's Llama models, and the economic and environmental impact of AI advancements The intersection of AI with job markets, wealth distribution, and universal basic income studies, while also considering the cultural and ethical impacts of technological integration in corporate settings The recent global technology outage caused by CrowdStrike on Microsoft Windows Links: The Grimy Residue of the AI Bubble Toby Murray: What really happened at CrowdStrike... Business Insider: CrowdStrike CEO Has Twice Been at the Centre of Global Tech Failure Lawfare: The CrowdStrike Outage and Market-Driven Brittleness

This episode of AI Australia features a discussion with Danielle Haj-Moussa, a deep-tech investor at Main Sequence Ventures, and Roo Harris, a partner at Scale Investors. The conversation spans the different investment types, the importance of inclusive and ethical AI, and the differences between deep tech and general tech. Danielle shares insights into Main Sequence's focus on decarbonisation, industrial productivity, and the commercialisation of groundbreaking research. Roo discusses Scale Investors' mission to fund female-led startups across diverse sectors, emphasising the need to support underrepresented voices in innovation. Both speakers explore the evolving landscape of AI, the impact of democratising AI through open-source models, and the critical role of diverse and ethical investment in shaping the future. We hope you enjoy this thought-provoking conversation as much as we enjoyed having it - we enjoyed it so much we have decided to make this a two-parter and delve even deeper into this topic in our next episode. Links: Danielle Haj-Moussa (Main Sequence Ventures) Roo Harris Scale Investors  

We're back after a bit of hiatus, and a rebrand - the AI Australia podcast is now brought to you by Mantel Group (formerly a house of brands including eliiza). This was recorded a couple of weeks ago, which is a lifetime in this age of AI, but hopefully you still enjoy the conversation as much as Nat & Kobi enjoyed having it. In this episode of 'This Week in AI', we discuss the continued rapid developments in AI, such as: The lack of transparency and accountability within organisations like OpenAI, which led to significant internal conflicts and questionable practices such as unauthorised voice usage and staff contract clawbacks. The broader implications of AI on personal identity, regulation, and the importance of maintaining ethical standards in the industry. We address the global impact of political developments and election outcomes influenced by AI, as well as the real-world consequences of algorithmic manipulation in social media.  We highlight the necessity for greater transparency, robust governance frameworks, and regulatory actions to ensure AI technologies are developed and utilized responsibly. Look out for our upcoming episode(s?) on how AI is shaping the Venture Capital landscape today.

We have rebranded! The AI Australia is now brought to you by Mantel Group (Eliiza's parent company).  Please join us this week as we discuss AI in education with Professor Andrew Maynard from the Arizona State University. Andrew's fascinating takes from the front line of educating in the age of AI show a vision of the future and interrogates some of the common misconceptions of AI in education.

Welcome back to the AI Australia podcast for 2024, with your hosts Natalie Rouse and Kobi Leins. We are joined by two experts in the field of cybersecurity - "The Voice of Cyber" multimedia journalist Karissa Breen and internationally recognised cyber law expert Emma (EJ) Wise. We start off learning about Aboriginal Birthing Trees, then talk about the ethics of self-driving cars, international regulation & frameworks, education, the use of autonomous technology in the military, cyber law, the use of AI in manipulating upcoming elections, information warfare, the naming of the Russian hacker responsible for the Medibank hack, and the opportunity for AI to drive innovation on both sides of the fence - for organisations protecting themselves and for hackers. We make it clear we do not condone cyber criminality! Unfortunately we did lose the last half of EJ's audio, which is a technical travesty because she did have many fascinating things to say - we will get her back to share more of her great thoughts and experiences at a later date.    Links: Karissa Breen Emma (EJ) Wise Aboriginal Birthing Tree Missy Cummings on Tesla Autopilot Automating the Banality and Radicality of Evil Moral Machine  

In our last episode for 2023, Kobi & Nat discuss the following recent developments around the world and how they relate to Australia: The EU AI Act, which has made it another step closer to reality, albeit with some conditions for regulating foundation models that not everyone is happy with. Kobi has been reading Nancy Levison's new book, which looks at large historical accidents and unpacks what that looks like from a human perspective. We wonder how the Act will plug into the new international standards coming out, and whether that might result in some more granular teeth for the Act. Microsoft has been quietly talking to industrial organisations in the US, leading us to wonder how the Hollywood Writer's strike will impact other union negotiations around the world. The attribution of job losses to AI or automation is proving difficult, and will make future union negotiations even more interesting. Kobi talks about the history and evolution of boards over time, which leads us to circle back to the Open AI board purging and reflect on recent information that has come out about why exactly Sam Altman was fired in the first place.