Project Flux

Project Flux

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.

  1. 5d ago

    AI Won't Fix Your Bad Data. It'll Expose It

    Send us Fan Mail Summary Verdantix industry analyst Sophie Planken-Bichler joins Project Flux hosts James and Yoshi to examine why AI capability is advancing faster than adoption in construction and the wider AEC sector. They discuss AI literacy, trust, workforce concerns, data readiness and a practical roadmap for introducing AI responsibly, from choosing a focused use case to training teams and setting governance. Key Topics Sophie describes the widening gap between fast-moving AI technology and organizations still building data foundations, governance and practical literacy.AI agents are not one-size-fits-all: reliable results depend on suitable data, clear processes and an understanding of inputs and logic.Sophie estimates that 90% of firms currently using agents lack the data and processes to realize their full potential, with unreliable outputs risking long-term trust.Construction’s AI resistance is organizational as well as technical: traditional workflows, job-replacement fears, sensitive IP and uncertainty about where to start all matter.Near-term value may come from practical document retrieval and search, which can save time without the extensive data foundations advanced predictive use cases require.James, Yoshi and Sophie discuss spreading AI literacy throughout project delivery, including ways site diaries, voice notes and images might feed project data systems.Sophie recommends a three-step starting roadmap: define a narrow, measurable problem and baseline; train teams and set guardrails; clarify data needs, ownership and governance.An AI-use amnesty can help firms learn what tools staff already use and identify shadow AI without stigmatizing experimentation.Historical project data could become valuable intellectual property, but Sophie says current data organization is often too immature to make benchmarking practical.Sophie predicts AI will be a normal expectation in AEC by 2030, alongside more flexible systems and shared knowledge repositories, while privacy and quality safeguards remain essential.Chapters 00:00 Sponsor: AI-powered insights from project data 02:15 The widening gap between AI innovation and adoption 04:40 Why AI agents need more than impressive outputs 07:14 From AI excitement to skepticism in AEC 09:10 What an industry analyst sees across the market 11:10 Shared priorities: skills, productivity, profitability, and quality 14:13 Why organizational change and job fears slow adoption 17:07 Upskilling without forcing people or leaving them behind 21:24 Trust, security, and the risk of expensive AI mistakes 24:16 Why AI literacy needs to reach project sites 27:28 Turning site diaries and safety guidance into AI workflows 30:35 A three-step, 12-month roadmap for construction AI 32:20 Shadow AI amnesties and finding out what teams already use 33:20 Data foundations, historical records, and the right questions 38:34 Sophie’s journalism counterfactual and 2030 prediction 42:25 Where to find Sophie and Verdantix Links & Stuff Sophie's LinkedIn: https://www.linkedin.com/in/sophie-planken-bichler-618880196/ Verdantix: https://www.verdantix.com/ Free webinars and blogs (Insights): https://www.verdantix.com/insights Free research (Vantage): https://www.verdantix.com/vantage Support the show Subscribe 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.

    AI Won't Fix Your Bad Data. It'll Expose It

  2. Oct 30

    Stop Renting Your Company’s Intelligence with Dr Yichuan Zhang, Boltzbit

    Send us Fan Mail Summary Project Flux hosts James and Yoshi speak with Yichuan Zhang, CEO and co-founder of Boltsbit, about general learning intelligence and his vision for AGI 2.0. Zhang explains why intelligence should be measured by the ability to learn, how contextual data and ongoing feedback could enable more adaptive AI, and how Boltsbit combines task modes with continuously learning models. Key Topics Yichuan Zhang traces his path from software engineering and AI research in Edinburgh and Cambridge to Google and founding Boltsbit in 2020.He connects Boltzmann machines and the unification of learning and thinking to later deep learning breakthroughs, including AlexNet and generative language models.Zhang distinguishes three learning capabilities: memory and retrieval, learning patterns from examples, and creating from instructions; he argues today’s AI still has room to improve at learning from examples.He describes AlphaGo Zero as evidence that AI can produce discoveries beyond its training examples when supported by sufficient compute and data.His Infinity Parameter LMs paper explores dynamically changing model parameters and generating new experts as a model produces tokens; he frames it as an early step toward general learning intelligence.Zhang argues data is use-case-specific and contextual, and that intelligence should be judged by the speed and capability of learning rather than stored knowledge or current skills.Boltsbit offers general chat, widget creation, document work, and coding modes, with a learning console for users to guide what the agent learns and how it responds.He describes Boltsbit’s approach as combining open-source models and applying continuous fine-tuning, while favoring models of roughly 40 billion parameters or fewer for practical hosting.Zhang argues organizations should build control and adaptability around AI rather than rely entirely on rented intelligence, and predicts model training will become cheaper while valuable domain data remains differentiating.On the future of AI, Zhang says people will still supply judgment and approval, even as AI makes building and deploying models much more accessible.Chapters 00:00 Meet Yichuan Zhang: from AI research to Boltsbit 03:46 Hinton, Boltzmann machines, and deep learning’s rise 08:05 Three kinds of learning and what AI still lacks 11:01 AlphaGo Zero and AI’s capacity for novel discoveries 12:46 Dynamic experts and the Infinity Parameter LMs paper 16:54 AGI 2.0: measuring intelligence by learning speed 18:12 Why data needs context, not just scale 22:04 General learning intelligence and human experience 26:23 Why world models do not solve contextual learning 28:46 Boltsbit’s four modes and continuous learning 32:15 Feedback, enterprise workflows, and model choices 36:00 Small models, AI ownership, and the cost of renting 40:07 What may change by 2030, and where human judgment stays 44:21 Open-source models, training, and the closing conversation Links & Stuff 🔗 Yichuan on LinkedIn: www.linkedin.comhttps://www.linkedin.com/in/dr-yichuan-zhang-bz1886 🏢 Boltzbit:https://boltzbit.com/ www.linkedin.com/company/boltzbit Support the show Subscribe 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.

  3. Oct 23

    AI Is Transforming GIS Forever | Dino Ravnic on the Future of Geospatial Technology

    Send us Fan Mail Summary Dino Ravnic, CEO of GIS Cloud, shares insights on the evolution of geospatial information systems, the impact of AI, and the future of GIS technology. Discover how democratizing GIS through cloud and AI is transforming industries and enabling new possibilities. Key Topics The evolution of GIS from traditional mapping to cloud-based systemsHow AI and MCPs are transforming geospatial data analysisThe role of digital twins in infrastructure and urban planningDemocratization of GIS through cloud technology and AIFuture trends in geospatial information systems and industry applications Chapters 00:00 Introduction to Dino Ravnic and GIS Cloud 04:04 Google Maps as a foundation for GIS democratization 05:51 The role of AI in making GIS accessible to non-specialists 08:10 Future trends: AI, digital twins, and world models 10:04 Ensuring deterministic systems and avoiding hallucinations 11:58 The evolution of MCPs and system integration 13:58 Controlling AI tools and data security in GIS 15:58 Testing and refining AI models for GIS applications 17:54 Career shifts in GIS roles due to AI advancements 20:08 GIS in the context of digital twins and robotics 21:56 Preparing for the future of GIS and AI integration 24:00 The importance of data control and AI safety 26:01 Croatia's tech ecosystem and global software development 28:06 The rapid acceleration of AI and its implications 30:00 Predictions for the next 20 years of AI and GIS 31:57 Diffusion of spatial information in society 34:02 Economic considerations: tokenization and AI costs 36:06 Best practices for AI-enabled GIS and future readiness 37:56 Personal recommendations and insights from Dino Ravnic 39:54 Special offer: 90-day free access to GIS Cloud AI Links & Stuff LinkedIn: https://www.linkedin.com/in/dinoravnic/ GIS Cloud: https://www.giscloud.com/ ⭐ LISTENER OFFER For new GIS Cloud signups: Get an extended 90-day free trial of GIS Cloud AI.The first 25 companies will receive a free 45-minute AI mapping setup session with the GIS Cloud team. They will help you upload your project data and get your first AI-ready map running.How to Redeem: Sign up at: giscloud.comEmail sales@giscloud.com with FLUX in the subject line.Send the email from the same email address you used to sign up.GIS Cloud will extend your trial and arrange your free setup session. YouTube: ▶️ Watch the full episode on YouTube; Episode Link: https://youtu.be/eZmAPa9w6d8 Newsletter:  https://projectflux.ai/?utm_source=buzzsprout&utm_medium=podcast&utm_campaign=dino_ravnic" Support the show Subscribe 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.

    AI Is Transforming GIS Forever | Dino Ravnic on the Future of Geospatial Technology

  4. Oct 19

    Project Flux Pro-Episode 2

    Send us Fan Mail Summary In this episode, we explore the latest developments in AI, including OpenAI's DOTS, persistent agents, model releases, and the implications for various industries. We discuss the convergence of AI tools, ethical considerations, and future trends shaping the AI landscape. Key Topics OpenAI DOTS and persistent agentsConvergence of AI tools and platformsImplications of AI model releases for industriesEthical and safety considerations in AI deploymentAI pricing strategies and market competitionAI in healthcare and government systemsFuture trends in AI development and regulation Chapters 00:00 Introduction to AI developments and episode overview 02:44 OpenAI DOTS: An always-on, customizable agent 06:26 Convergence of AI platforms and user interfaces 12:25 Building personalized harnesses for AI models 15:10 Balancing persistence and obedience in AI agents 22:56 Video generation and the Turing test threshold 26:33 AI security breaches in government systems 34:21 Market dynamics: AI pricing and competition 44:36 AI in critical infrastructure and safety concerns 49:55 AI's impact on industry jobs and responsibilities 54:11 The importance of human-AI collaboration and learning Support the show Subscribe 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.

  5. Oct 16

    The Future of AI and Cybersecurity: Expert Insights from Robert Maxwell

    Send us Fan Mail Summary In this episode, Robert Maxwell discusses the evolving landscape of cybersecurity, AI's role in security, and the importance of management education in adopting new technologies. He shares insights from his book and experiences, emphasizing continuous review and collaboration to mitigate risks. Key Topics Cybersecurity challenges with AIThe Australian government hack and lessons learnedThe importance of management education in tech adoptionThe evolving threat landscape due to AIStrategies for effective cyber defense and regulationThe role of legislation and industry collaborationThe impact of AI on job security and skillsThe importance of continuous review and thinking in AI projectsChapters 00:00 Introduction and episode overview 02:30 Robert Maxwell's background and journey into cybersecurity 04:23 The challenges of AI adoption and management's role 05:41 Cybersecurity vulnerabilities and the evolving threat landscape 06:45 The Australian government hack and lessons for organizations 07:36 The need for regulation and industry collaboration 11:44 Key ideas from Robert Maxwell's book on cyber vulnerability 12:49 The importance of focused AI projects and avoiding AI washing 14:06 Shadow AI and unapproved tool usage in organizations 15:27 First steps for SME owners to prevent shadow AI proliferation 19:47 The four steps: outcome, technology, people, data 24:37 Managing change and avoiding analysis paralysis 26:21 Cybersecurity in the age of AI and increasing attack surface 36:50 Global approaches to AI regulation and enforcement 37:48 Predictions for AI development and risks in the next six months 40:04 The importance of AI literacy for individuals and organizations 41:00 Where to find Robert Maxwell and his work Links & Stuff LinkedIn: https://www.linkedin.com/in/robert-maxwell-tgt/ Support the show Subscribe 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.

    The Future of AI and Cybersecurity: Expert Insights from Robert Maxwell

  6. Oct 9

    Turning Project Data into Useful Asset Intelligence with Sam Rees, Hoppa

    Send us Fan Mail Summary In this episode, Sam Rees, CEO of Hopper, discusses how AI is transforming data management in the construction and infrastructure industries. They explore the challenges of adoption, the potential of AI to revolutionize workflows, and the future of digital transformation. Key Topics AI-driven data structuring in constructionChallenges of AI adoption in industryThe evolution of digital transformationCase study: AI improving asset managementFuture trends in construction data managementChapters 00:00 Introduction and episode overview 00:20 Sam Rees' background and Hopper's mission 00:41 Challenges in AI adoption and industry skepticism 00:59 The core problem Hopper aims to solve 01:11 The evolution of data structuring in construction 01:34 Case study: Asset life cycle analysis at an airport 01:48 AI's role in speeding up data processing 02:13 The importance of domain expertise in AI applications 02:37 Future of AI and digital transformation in construction Links & Stuff Sam Rees LinkedIn: https://www.linkedin.com/in/sam-rees-9062487a/ Company: https://hoppa.ai/ Movar Reply: https://movar.group/ PM Global Management: https://www.globalprojectleader.co.uk/ Support the show Subscribe 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.

    Turning Project Data into Useful Asset Intelligence with Sam Rees, Hoppa

  7. Oct 2

    Innovate or Become Irrelevant: The New Rules of Business in the AI Era

    Send us Fan Mail Summary In this episode, Itai Green discusses the urgency of innovation in the fast-paced world of technology, the importance of engaging with startups, and how organizations can adapt to AI-driven change to stay relevant. Key Topics The importance of rapid innovation in today's ecosystemHow organizations can effectively engage with startupsThe impact of AI on organizational structure and strategyStrategies for managing change and fostering agilityThe role of leadership in driving innovation and speed Chapters 00:00 Introduction and guest overview 03:52 Case study: Salesforce's rapid adaptation 04:58 The rise of AI tools like Wix and Base 44 06:30 The future of organizations in an AI-driven world 07:02 The challenge of organizational inertia and culture 08:22 The importance of understanding and engaging with the ecosystem 12:03 The difference in innovation dynamics between startups and large corporations 14:02 The value of maintaining startup culture within large companies 16:33 Changing KPIs and management mindset for innovation 18:00 How to start engaging with startups and new technologies 22:18 The pilot process and investment opportunities 27:52 The importance of leadership engagement in innovation 30:02 Managing bureaucracy and accelerating adoption 32:56 The importance of being aware of emerging solutions 35:58 The future of industry and the importance of ecosystem awareness 37:50 The most impactful non-AI technologies seen in startups 38:38 Alternative careers: Math teaching and lifelong learning 39:06 The role of foundational knowledge in a world of AI 40:16 The rapid pace of AI development and future outlook 41:07 Closing thoughts and how to connect with Itai Green Links & Stuff LinkedIn: https://www.linkedin.com/in/itaigreen/ Book: Innovation or Elimination: WINNING in a World of Constant Change https://www.amazon.com/Innovation-Elimination-Winning-Constant-Change-ebook/dp/B0F1M7RC65 Support the show Subscribe 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.

    Innovate or Become Irrelevant: The New Rules of Business in the AI Era

  8. Sep 28

    Project Flux Pro

    Send us Fan Mail Summary In this episode, we explore the rapid advancements in AI, its implications for jobs, project delivery, and the ethical considerations surrounding emerging models like Astra and Gemini. We discuss how AI is transforming industries and what the future might hold. Key Topics AI model advancements from Astra, Gemini, and othersImplications of AI on jobs and the economyThe technical evolution of large language models and their capabilitiesEthical considerations and safety in AI developmentThe impact of AI on project delivery and construction industryChapters 00:00 Introduction to the AI landscape and recent developments 01:57 AI's impact on cybersecurity and economic models 03:52 The evolution of AI models and their capabilities 06:46 The debate on AI hype versus reality 10:02 Job displacement, diffusion, and the doomsday scenarios 14:48 The importance of AI alignment and value systems 19:55 Project delivery, automation, and decision-making bottlenecks 25:01 The future of AI models: Astra, Gemini, and emerging capabilities 29:52 Model efficiency, token usage, and recursive self-improvement 34:56 The role of browser use, agent swarms, and hacking incidents 40:02 The ethical and societal implications of AI advancements 45:11 AI in construction: design, automation, and project management 49:00 Summary, future outlook, and closing remarks Support the show Subscribe 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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About

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.

Information

  • Creator
    Project Flux
  • Years Active
    2024 - 2026
  • Episodes
    177
  • Rating
    Explicit
  • Copyright
    © 2026 Project Flux
  • Show Website
    Project Flux

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