Video: Unlocking Productivity with AI and Data | Duration: 1385s | Summary: The Productivity Levers Vodcast brought together thought leaders to delve into the future of productivity in Australia, focusing on skills, workforce transformation, and responsible AI. Episode 1 - Hosted by Corey, the podcast featured Dr. Stephen King, Productivity Commissioner for Data and Digital, and Simon Tate, President of Workday, APAC, both of whom provided expert insights into overcoming barriers to productivity and seizing new opportunities. Key Takeaways:Australia faces a significant productivity challenge, with labor productivity growth falling to merely 0.4% over the last decade, underscoring the urgency of addressing this decline as it directly impacts real wages. Dr. Stephen King from the Productivity Commission is leading the "five pillars inquiry" to tackle these challenges across regulation, tax, labor market, skills, and the care economy.The care economy, including services like education, health, and aged care, has been identified as the biggest drag on productivity over the past decade. Dr. King emphasises that addressing the inefficiencies within this sector is essential to driving broader economic productivity.Simon Tate, President of Workday APAC, highlights a fundamental shift in corporate productivity strategy post-COVID, with companies focusing on technology as the primary lever for increasing productivity in the absence of additional workforce availability. He stresses the need for faster technology adoption in Australia to stay competitive.Concerns around data-sharing barriers and cyber security are prevalent, with Speaker 0 emphasising the hesitation organisations face despite the value locked in data lakes. Simon Tate points out the transformative power of agentic AI, trained on highly curated data, which can enable sub-second decision-making at an organisational level and drive national productivity.A call for greater generational diversity and digital fluency on corporate boards is highlighted as essential to adapting to the future workforce, where Generation Alpha is poised to become the largest cohort. Simon also advocates for public sector innovation, urging leaders to adopt a growth mindset over a risk-averse one to unlock the potential of AI and data. Resources:Public Sector for AustraliaPublic Sector for New ZealandLocal GovernmentQuick Demo: AI-Powered ERP: The Workday Platform | Chapters: Introducing Productivity Leavers (2s), Data and Digital Productivity (201s), Data-Driven Productivity Challenges (476s), Public Sector Upskilling (1000s), Public Sector Transformation (1288s), Concluding Remarks (1360s) Video: Skills Led Economies and the Human-Centered AI Transition | Duration: 1474s | Summary: To maximise national productivity and economic growth, Australia must rapidly develop an AI-ready workforce by accelerating educational adaptation and integrating technical proficiency with human-centric skills across a diverse, multi-generational demographic. In a recent conversation, Jo-Anne Ruhl (Managing Director and Vice President of Workday ANZ) and Dr. Barney Glover (Commissioner of Jobs and Skills Australia) highlight that Australia’s national productivity depends on building an AI-ready workforce over the next two critical years.Key takeaways:Jobs and Skills Australia is focusing on forecasting future workforce needs and creating a more harmonised tertiary education system to better align skills with market demandOrganisations successfully implementing AI are those being proactive and intentional about augmenting human capabilities rather than replacing them"Human skills" like critical thinking, EQ, empathy, and problem-solving will become more valuable as AI adoption increasesMulti-generational workforces provide significant advantages when implementing AI, combining digital nativity with experience-based judgmentAustralia needs urgent national upskilling in digital and AI literacy across all demographics to remain competitive globallyQuestions addressed:How is Jobs and Skills Australia informing the discussion around skills and productivity?What can the education sector learn from how private organisations are implementing AI?How can organisations ensure safe and productive adoption of AI tools?What skills will be most valuable in an AI-augmented workplace?How can Australia address gender segregation in the labor market while implementing new technologies?Resources:Quick Demo: AI-Powered ERP: The Workday Platform | Chapters: Introducing Productivity Leavers (1s), Jobs and Skills Focus (31s), AI in Education (200s), AI Workforce Integration (388s), Workforce Diversity Impact (877s), Future Skills Focus (1286s) Video: Agentic AI and Human Agency | Duration: 1756s | Summary: In a world increasingly shaped by technology, the latest episode of the Productivity Levers Vodcast, we delve into a critical topic: leveraging responsible AI to transform productivity in Australia. | Chapters: Welcome & Introductions (2s), Career Journey (155s), Defining AI Success (270s), AI Implementation Challenges (425s), AI Agents as Teammates (650s), Responsible AI Deployment (896s), Reimagining Public Sector (1089s), Cultural Transformation (1436s), Organizational Change (1561s), Closing Remarks (1699s) Video: Rethinking Public Sector Productivity - From Compliance to Citizen Value | Duration: 1447s | Summary: The latest episode of the Productivity Levers vodcast delivers an insightful conversation on how governments and industries can drive greater workforce productivity while responding to pressing challenges around technology adoption and responsible data management. We explore strategies for workforce transformation, skills enhancement, and scaling artificial intelligence within the public sector to prioritise citizen value over mere compliance. | Chapters: Welcome and Introductions (2s), Member Focus & Advocacy (67s), Workdays Public Sector Focus (137s), Scaling AI Adoption (232s), Legacy Systems Challenge (352s), Data Governance Challenges (509s), Data and Outcomes (661s), Trust and Human-Centric AI (809s), National Productivity Vision (1062s), Implementation Roadmap (1313s), Closing Remarks (1427s)