Podcast
Project Flux
Hosted by Project Flux · EN
Project Flux is a pioneering podcast that explores the transformative impact of Artificial Intelligence across various industries, including construction, music, infrastructure, and life sciences, with a focus on revolutionising the project delivery profession. Each episode brings to light how AI is redefining efficiency, innovation, and strategic decision-making in project management. Through engaging conversations with industry leaders, technologists, and forward-thinkers, the podcast offers a comprehensive look at the challenges and opportunities AI introduces, the nuances of its integration, and its potential to reshape project delivery on a global scale.
Project Flux is the go-to resource for professionals seeking to navigate the evolving landscape of AI in project delivery, offering insights, strategies, and inspiration to harness the power of AI for a more innovative and effective future.
Project Flux is independently owned, funded, and operated. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.
37episodes
Episodes
Newest firstAll episodes
AI & Ocean Intelligence: How Wave Data is Transforming Offshore Infrastructure | Jana Stella
Feb 2000:45:46Tap to summarizeSend us Fan MailSummaryIn this insightful interview, Jana Stella, founder of New Wave Technologies, shares her journey from oceanography and deep learning to pioneering AI applications in environmental science and offshore infrastructure. Discover how AI is transforming wave modeling, offshore wind energy, and the future of sustainable technology.Key TopicsDeep learning analogy with mirrors and maze of mirrorsAI's role in oceanography and wave modelingImpact of AI on offshore wind and infrastructureChallenges in hiring and scaling AI in environmental techFuture visions: quantum computing and AI in ocean scienceChapters00:00 Introduction to Jana Stella and New Wave Technologies02:53 Deep Learning Explained: The Mirror Analogy05:45 AI's Role in Environmental Science and Sustainability08:22 Wave Technology: Modeling and Forecasting11:12 Bridging the Gap: AI and Offshore Infrastructure14:09 Challenges in AI Implementation and Team Building16:38 The Complexity of Oceanographic Data and AI Models19:38 The Fragility of Subsea Cables and Their Importance22:25 Concluding Thoughts on AI and Environmental Impact24:37 Navigating Offshore Renewable Energy Challenges26:20 The Importance of Boldness in Project Delivery28:48 AI's Role in Transforming Industries32:48 Universal Basic Income: A Vision for the Future37:09 The Dual Nature of Technology: Good vs. Evil39:23 Personal Insights and Future Aspirations44:41 Unleash the Code 1 Second.mp344:44 james .mp445:22 Exploring Key Themes in Project Flux45:30 Unleash the Code Intro.wavSupport the showSubscribe to the Project Flux Newsletter!All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!Sign Up to Newsletter Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.
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AI Revolution: The Hidden Truths and Surprising Impacts on Our Future
Feb 1700:48:48Tap to summarizeSend us Fan MailSummaryIn this episode of the Project Flux podcast, James and Yoshi engage with Mike Palladino, a transformational leader and agile expert, discussing the evolving landscape of AI in project management. They explore the common threads in how organizations react to AI, the differences between corporate and non-profit perspectives, and the importance of the human element in AI implementation. The conversation delves into the hype cycle surrounding AI, the evolution of jobs in the age of automation, and the limitations of AI in decision-making. They also touch on the significance of agile methodologies and the future of human interaction with AI, emphasizing the need for continuous learning and adaptation in a rapidly changing environment.TakeawaysThe nervousness about AI stems from the rapid rate of change.Corporate and non-profit sectors have different paces and mindsets regarding AI.AI can help automate mundane tasks but may not fully replace human roles.The hype cycle of AI often leads to inflated expectations and subsequent disappointments.Job roles will evolve, but new opportunities will arise alongside AI advancements.AI's decision-making capabilities are limited by its training data and context understanding.Agile methodologies are essential for adapting to the fast-paced changes brought by AI.The human experience is crucial in project management and should not be overlooked in AI implementations.Continuous learning and exploration of new ideas are vital for growth in the AI landscape.Cohesiveness in culture is diminishing due to echo chambers created by technology. Chapters00:00 Introduction to Mike Palladino02:23 Navigating Change: The Impact of AI on Project Delivery03:39 Corporate vs Non-Profit: Understanding Different Paces05:08 The Role of AI in Non-Profit Organizations06:48 The Hype Cycle of AI: Expectations vs Reality09:35 The Human Element in AI and Project Delivery12:06 The Future of Jobs: Adapting to Change17:42 Rethinking Engineering Solutions: The People Question23:48 Agile Mindset: Beyond the Buzzword26:16 Navigating Agile in an AI-Driven World28:53 The Limitations of AI in Decision Making31:41 The Human Experience vs. AI Efficiency34:29 Understanding AI's Decision-Making Process38:26 The Importance of Learning and Exploration42:13 Cultural Impacts of AI and Technology47:29 Unleash the Code 1 Second.mp347:32 james .mp448:32 Unleash the Code Intro.wavSupport the showSubscribe to the Project Flux Newsletter!All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!Sign Up to Newsletter Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.
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How AI Is Changing the Future of Work
Feb 1300:50:15Tap to summarizeSend us Fan MailSummaryIn this conversation, Rajeev Kapur discusses the evolution from prompt engineering to context engineering in AI, emphasizing the importance of providing detailed context for effective AI interactions. He shares insights from his career, the impact of AI on project management, and the common mistakes people make when prompting AI. Rajeev also addresses concerns about job security due to AI, the democratization of AI for entrepreneurship, and the future of robotics and energy. He concludes with real-life success stories and the potential for AI to create new opportunities while highlighting the need for gradual adaptation to these technologies.TakeawaysContext is crucial for effective AI prompting.The evolution from prompt engineering to context engineering is significant.Common mistakes in AI prompting include vagueness and lack of detail.AI can enhance productivity and create new job opportunities.Generational differences affect the adoption of AI technologies.AI democratizes entrepreneurship and learning for everyone.Hallucinations in AI outputs are a function of training data.The future of AI includes smart cars and robotics.Real-life success stories demonstrate the potential of AI.Gradual adaptation to AI technologies is essential for success.Chapters00:00 Introduction to Rajeev Kapoor and AI Journey05:03 The Evolution of AI and ChatGPT09:51 Understanding AI Hallucinations and Their Impact14:27 Practical AI Implementation Strategies18:40 The Future of AI: Context Engineering and Prompting49:59 Unleash the Code Intro.wavSupport the showSubscribe to the Project Flux Newsletter!All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!Sign Up to Newsletter Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.
Transcribe →Unlocking the Future of Project Control and AI Innovation at nPlan's AI Day
Feb 1000:42:29Tap to summarizeSend us Fan MailIn collaboration with the Gen AI Podcast, this episode was filmed at nPlan's AI Day, where we explore groundbreaking advancements in project management technology, the impact of AI on markets, and the importance of scenario planning through multiverse thinking. Join us for insights from industry experts on how these innovations are shaping the future.Key TopicsHow Schedule Studio enables fast, large-scale scenario analysis with up to 3,000 activities generated instantlyThe concept of multiverse thinking in project planning to manage uncertainties and ill unforeseen eventsThe significance of AI plugins and integrations, including barriers and opportunities in project controlsThe risks and security considerations of proactive agents like Claude Bot and MaltbookMarket reactions to AI developments, including plugins' influence on financial markets and long-term strategy implicationsFuture possibilities of space-based data centers and AI in space explorationTimestamps00:00 - Introduction to Project AI Day and event excitement 00:24 - Recap of AI Day preparations and expectations 00:43 - Demonstration of schedule automation connecting to project control loops 01:23 - The importance of speed in scenario analysis and project adjustments 02:26 - Launch of Schedule Studio upgrades for large-scale schedules 03:17 - Handling equipment and technical setup for live demos 04:18 - Multiverse thinking: exploring scenarios with high breadth and rapid iteration 04:44 - Uploading and managing millions of schedules with automation tools 05:46 - Integration capabilities with external data sources like Procore and Barry 06:19 - AI plugin market dynamics and strategic implications 07:21 - Political and market reactions to AI advancements and plugin launches 08:41 - Westworld's Rehoboam and the future of scenario-based decision making 09:33 - AI balancing in project planning to mitigate risks and optimize outcomes 10:31 - Practical inputs for real-time scenario updates during projects 11:43 - Incorporating AI intuition and human experience in decision-making 12:36 - The security risks of AI agents and proactive bots like Claude Bot 14:21 - The evolution of Maltbook and agent interaction influences 15:09 - The potential societal and privacy impacts of pervasive AI agents 16:52 - The competitive edge of hyper-vertical AI tools over generalist models 18:08 - Market implications of AI plugins and how they disrupt traditional industries 19:35 - Long-term investment strategies amidst AI disruption and market volatilityLessons with The Practical Prof®Let's become our best selves at home, work and in the community. Join us today!Listen on: Apple Podcasts SpotifySupport the showSubscribe to the Project Flux Newsletter!All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!Sign Up to Newsletter Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.
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AI, Humans & the Future of Work Explained
Feb 600:46:42Tap to summarizeSend a textIn this episode of the Project Flux podcast, Maryrose Lyons discusses the transformative impact of AI on the built environment. The conversation explores the evolution of curiosity in AI adoption, practical applications of AI in daily work, and the importance of empowering humans rather than replacing them. Maryrose emphasises the need for a shift in mindset towards experimentation and innovation, as well as the potential of spatial AI and robotics to redefine the future of work. The episode concludes with insights on the emerging landscape of AI agents and their implications for various industries.TakeawaysCuriosity is essential for success in the AI era.AI should empower humans, not replace them.The built environment is rapidly adopting AI technologies.Experimentation is key to navigating AI challenges.Training in AI should focus on practical applications.Spatial AI will fundamentally change the industry.Midsize companies are leading in AI adoption.AI can automate mundane tasks, freeing up time for creativity.The future of work will be more fluid and less prescriptive.Agents in AI need to be clearly defined and understood.Chapters00:00 Introduction to AI and Curiosity02:13 The Evolution of AI Perception05:23 Practical Applications of AI in Daily Life08:16 The Role of Curiosity in AI Adoption11:11 The Competitive Landscape of AI14:04 Future of AI and Human Empowerment17:53 Transforming Work Through AI Training20:40 Rethinking Old Processes for New Solutions22:27 Managing Change and Embracing Experimentation24:29 Agile Learning and Tailored Training Solutions26:51 Fostering Creativity and Curiosity in Teams28:58 The Future of Work: Fluid Processes and AI32:03 Decoupling Process from AI Solutions33:51 Understanding AI Agents vs. Virtual Assistants36:56 The Future of AI Agents39:30 The Evolution of AI and Its Impact41:36 Key Skills for Leaders in Construction43:10 The Rise of Spatial AIMaryrose’s Linked In AI Institute Linked In page AI Institute Website Support the showSubscribe to the Project Flux Newsletter! All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday! Sign Up to Newsletter Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.
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The RICS AI Standard: What It Means for QSs and the Future of Professional Practice
Jan 3001:15:16Tap to summarizeSend a textIn a special collaboration, we join Own the Build podcast for their 250th episode alongside the RICS. This conversation arrives at a pivotal moment: the RICS has just published its first-ever global professional standard for the responsible use of AI in surveying, coming into effect in March 2026.Unpacking what this means for Quantity Surveyors (QS'), valuers, project professionals, software vendors and construction leaders, is:James Garner — Head of AI & Data at Gleeds, Chair of the Project Data Analytics Task Force, and host of Project Flux.Chris de Gruben — Senior Director & Head of AI at Artefact; co-chair of the RICS AI Working Group.Matthew Lavy — Barrister at 4 Pump Court specialising in technology disputes and AI liability.Across this wide-ranging, practical and occasionally provocative discussion, the panel explore:Why the RICS created this standard now: Member demand, regulatory pressure, industry lag, and a cultural shift from “AI as a threat” to “AI as a professional tool”.The core pillars of responsible AI use: Risk registers, explainability, transparency to clients, PI considerations, shadow AI, enterprise-grade tools, and why “professional judgement” remains non-negotiable.What AI will — and won’t — replace: From AVMs and automated cost analysis to complex valuation, negotiation, context, and human judgement.The difference between enabling and restricting innovation: Why the RICS guidance is intentionally light-touch and principle-based, and how it avoids the rigidity of the EU AI Act.What this means for QSs, valuers, employers, universities and software vendors: Future training, AI literacy, cultural change, documentation, and how practitioners can protect themselves while accelerating adoption.The future of surveying and construction in an AI-native world: Agentic workflows, robotics, quantum computing, and the real-world impact on productivity, risk, client expectations and professional identity.This is a landmark conversation at a turning point for the profession. If you want clarity on how AI will shape surveying, cost management and construction over the next five years — and what you should do in 2026 — this is essential listening.Support the showSubscribe to the Project Flux Newsletter! All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday! Sign Up to Newsletter Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.
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AI Won’t Fix Government
Aug 8, 2025Tap to summarizeSend a textSummaryIn this episode, Vijay Luthra discusses the intersection of AI and public services, highlighting the challenges of government reform, the impact of legacy systems, and the cultural hurdles that impede progress. He emphasizes the potential of AI to improve public services while also addressing concerns about job displacement and the ethical implications of AI in healthcare. Luthra advocates for a long-term perspective in implementing AI and the need for leadership to adapt to the complexities of modern governance.TakeawaysAI has significant potential to improve public services.Cultural challenges often hinder technological adoption in government.Legacy systems complicate the implementation of new technologies.Job displacement due to AI is a pressing concern.Long-term planning is essential for successful AI integration.The UK has opportunities to lead in AI development.Healthcare must maintain human interaction despite AI advancements.Leadership in government needs to adapt to modern complexities.AI can help address the elective backlog in healthcare.Collaboration between public and private sectors is crucial for reform.Chapters00:00 Introduction to Public Sector Reform and AI04:14 Challenges of Legacy Systems in Government08:49 Cultural Challenges in Public Services13:10 The Role of AI in Public Services17:16 Long-term Perspectives on AI Implementation21:31 Training and Capability Building in Government22:09 Long-Term Strategic Thinking in Global Politics23:44 The Geopolitical Landscape: US vs China27:06 Opportunities for the UK in AI and Tech30:04 AI in Healthcare: Balancing Innovation and Accountability37:56 AI in Kidney Transplants: A Case Study40:14 The Evolving Role of Leadership in Governance43:07 james .mp443:47 ending.mp444:20 Unleash the Code Intro.wavLinks and Stuff Vijay K. Luthra Support the showSubscribe to the Project Flux Newsletter! All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday! Sign Up to Newsletter Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.
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