AI Australia Podcast

Before ChatGPT changed everything, Arvind Jain was already four years deep into solving a problem every knowledge worker knows but no one had fixed: why is it so impossible to find anything at work? In this episode, the CEO of Glean, the enterprise AI platform used by some of the world's most iconic companies, takes us inside the founding story that started not in a garage, but in the wreckage of hypergrowth. When his previous company grew from 500 to 2,000 people in a single year, things started to break. Software releases stalled, teams lost each other, and the lowest-scoring question in their employee survey? Do I have the information I need to do my job? That moment of failure became a billion-dollar idea. Arvind opens up about his time in the early days of Google, co-founding Rubrik, and then walking away from success, again to build something that didn't exist yet. This one is for anyone who's ever wasted an afternoon searching for a file that should have taken 30 seconds to find.

What if the knowledge locked inside the heads of the world's most elite scientists could be downloaded into a "nervous system" for everyone? Craig Rayner spent decades watching life-saving drugs fail simply because the right person wasn't in the room. Now, he's built a Peer Review Agent that mimics a full development committee with 95% accuracy. We discuss the white-knuckle ride of leaving a high-flying corporate career to democratize medicine, the "Kodak moments" facing the industry, and why he believes it is now "unethical" not to use AI to save lives. Oktopi's purpose is to democratise world-class drug development expertise: embedding it within human-guided, AI-enabled workflows and amplifying innovation through a connected global community.

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.

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/

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/

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 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, 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.

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

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 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.

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.

This week in AI has been a week like no other - join Natalie & Kobi to mull over the back and forth at OpenAI over the last week as we delve into what happened and what might it all mean. We are saddened about the departure of all the women on the OpenAI board, but wonder if the previous academic-focussed board had found themselves out of their depth as the value of the company grew. We are more than a little curious about the eventual movie that will no doubt be made about this highly dramatic saga! We also talk about the importance of governance around not just data but AI, including processes & accountability rather than just technical aspects. No links this week because there is not enough space on the internet to link to all of the articles covering the happenings of this last week.