Project Flux

Send us Fan MailSummaryIn this conversation, Ronald  Dyer shares his journey from a tech enthusiast to a prominent figure in academia, discussing the evolution of technology, AI, and its implications for project management and society. He emphasises the importance of critical thinking, the cultural shifts needed in project management, and the potential of AI in various sectors, including healthcare and transportation. Dyer also highlights the emotional impact of AI tools on professionals and the need for adaptation in a rapidly changing landscape.TakeawaysRonald's journey in tech began in his teenage years.He transitioned from retail to Wall Street, emphasising luck and opportunity.The importance of technology in education is paramount.AI is evolving, but the fundamental need for critical thinking remains.Cultural shifts are necessary for project management to adapt to AI.AI's impact on society is profound, especially in healthcare and transport.Humans must remain integral in decision-making processes involving AI.The emotional impact of AI tools can alleviate stress for professionals.Automation will redefine roles in project management.The future of work may lead to a dystopian divide between the skilled and unskilled.Chapters00:00 The Weekly Pulse21:11 Ronald Dyer's Multifaceted Career Journey26:20 The Evolution of Data Analytics and AI30:37 Lessons from Finance to Academia34:46 The Role of AI in Project Management41:01 The Future of Project Management and AI Integration49:02 The Impact of AI on Project Management52:45 Transforming Healthcare with AI56:24 The Importance of Critical Thinking in AI57:48 The Evolution of Prompting in AI01:00:14 Innovations to Watch: AI in Healthcare and Self-Driving Cars01:06:34 The Future of Work and Universal Basic IncomeSupport 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.

Send us Fan MailIn this conversation, James and Yoshi are joined by Dale Foong of Movar and the host of Project Chatter podcast - they discuss the significant shifts driven by AI in project management, the complexities of agentic workflows, and the ethical considerations surrounding AI safety. They explore generational shifts in technology adoption, the importance of networking and collaboration, and the role of AI in enhancing project delivery. The discussion also touches on the implications of deep research in AI and its potential impact on society, concluding with thoughts on the future of AI and recommendations for professionals in the field.TakeawaysAI is transforming project management significantly.Agentic workflows introduce complexity but also opportunities.AI safety and ethics are crucial in AI development.Generational shifts affect how technology is adopted.Networking and collaboration are essential in the AI era.AI can enhance project delivery and efficiency.Deep research in AI has vast implications for various fields.The future of AI will impact society profoundly.Understanding AI is crucial for career advancement.Innovation is driven by necessity in the tech landscape.Chapters00:00 The Weekly Pulse - All the big news30:44 Introducing Dale Foong of Movar32:37 Generational Shifts and the Adoption of New Technologies35:22 Navigating the Age of AI38:18 Overcoming Anxiety Around AI39:42 The Importance of Communication Skills in Project Management41:17 AI's Impact on Project Management44:56 Navigating AI Anxiety47:32 The Evolution of Networking with AI50:13 AI as a Thought Partner53:48 Real-World Applications of AI in Projects58:35 The Future of AI and Human Interaction01:02:47 Grit and Success in the Age of AI01:04:38 Introduction and Sponsorship Highlights01:05:01 Engagement and Community BuildingLinksDales Linked InMovar's websiteProject Chatter podcastSupport 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.

Send us Fan MailIn this conversation, Yoshi and James welcome Geoff Woods, author of The AI Driven Leader and they explore the transformative role of AI in leadership and business strategy. They discuss the evolution of AI models, the importance of harnessing AI as a thought partner, and the impact of AI on traditional industries. The conversation also delves into the future of AI, including AGI, and real-world applications that demonstrate AI's potential to enhance efficiency and decision-making. Geoff emphasises the need for leaders to adapt to these changes and leverage AI to drive growth and innovation.TakeawaysAI is a powerful thought partner for leaders.Asking the right questions is crucial for success.AI can streamline business processes and enhance decision-making.The construction industry is ripe for AI adoption.AGI represents a significant shift in intelligence capabilities.Real-world applications of AI can save time and resources.Building a collective of AI-driven leaders can foster innovation.Leaders must prioritise learning about AI to stay competitive.AI can help identify non-obvious insights in business data.A growth mindset is essential for embracing AI technology.Chapters00:00 The Weekly Pulse - News of the week31:46 Geoff Woods - Best Selling Author34:43 The Role of AI as a Thought Partner37:24 Overcoming Resistance to AI in Traditional Industries40:13 Real-World Applications of AI in Business42:54 Prompt Engineering for Strategic Thinking45:40 Transforming Mindsets for AI Adoption52:27 Transforming Industries with AI Mindset54:04 Prioritizing Tasks for Maximum Impact55:51 The Role of Leadership in AI Adoption57:27 AI as a Thought Partner59:18 Building Your Own AI Advisory Board01:00:51 AI's Reasoning and Emotional Resonance01:03:09 Simulating Board Dynamics with AI01:05:29 Ruthless Prioritization for Success01:07:39 Creating a Collective of AI-Driven Leaders01:09:44 Influential Books and Personal Growth01:12:04 Taking Action: The Sticky Note StrategyLinksGeoff's Linked InAI Leadership websiteGet the AI Driven Leader BookSupport 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.

Send us Fan MailSummaryIn this episode, Alastair Blenkin discusses the transformative role of AI in the construction industry, particularly through his product, Procure Pro. The conversation explores the challenges and opportunities presented by technology adoption in construction, the importance of understanding human cognition in relation to AI, and the future implications of AI in procurement and project management. Alastair shares insights on product development, market fit, and the necessity for entrepreneurs to focus on selling their ideas before building them. The episode concludes with recommendations for resources that can aid in entrepreneurial endeavors.TakeawaysAI is revolutionising procurement in the construction industry.Procure Pro aims to save users significant time and resources.The construction industry is gradually becoming more tech-savvy.Understanding human cognition is crucial when integrating AI.Adoption of technology can be facilitated by reducing friction.The future of AI includes embodied cognition and enhanced interaction.Entrepreneurs should focus on selling ideas before building products.The Lean Startup methodology is essential for rapid iteration.Data-driven decision-making is key in construction management.Collaboration and communication are vital for successful technology adoption.Chapters00:00 The Weekly Pulse27:59 Transition from Law to Technology and Entrepreneurship30:52 The Mission of Procure Pro: Saving Construction Admin Hours33:41 The Role of AI in Construction36:40 Revolutionizing Workflows with AI39:07 The Future of Software and Personalization42:43 Creating Space for Innovation44:19 Integrating Technology in Procurement45:58 Overcoming Resistance to Change47:40 Harnessing Data for Better Decision Making49:54 Building on Familiarity with Excel50:47 Ensuring Product-Market Fit53:12 Empowering Teams to Experiment55:43 Influential Figures in Tech56:54 Recommended Resources for Growth01:00:00 Unleash the Code Intro.wavProcure Pro WebsiteAlastair Blenkin's Linked InSupport 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.

Send us Fan MailSummaryIn this episode of Project Flux, the hosts discuss significant developments in AI, including the UK government's AI action plan, highlights from the CES show, and insights from the World Economic Forum's Future of Jobs report. They explore the implications of these advancements for the economy, public services, and the future of work, emphasising the need for upskilling and the importance of data privacy.TakeawaysThe UK government has accepted 50 recommendations to enhance AI capabilities.AI growth zones are being established to foster innovation and job creation.The CES show showcased advancements in AI technology, including Nvidia's powerful new tools.AI can improve public sector efficiency and address common public grievances like road maintenance.Data ownership and privacy are critical concerns in the AI landscape.The Future of Jobs report highlights the need for upskilling in response to AI advancements.AI technology can have both positive and negative implications for society.The UK aims to position itself as a leader in AI development and innovation.Collaboration between public and private sectors is essential for successful AI implementation.The conversation emphasises the importance of understanding the evolving job landscape due to AI.Chapters00:00 Introduction and Overview of AI News03:03 UK Government's AI Action Plan18:48 Highlights from CES Show 202327:38 World Economic Forum's Future of Jobs Report32:09 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.

Send us Fan MailIn this episode of the Project Flux podcast, hosts James Garner and Yoshi Soornack and guest Dave Officer discuss the current landscape of AI, focusing on the competition between the US and China, the implications of safety and ethical considerations in AI development, and the recent controversy surrounding OpenAI's privacy promises. They explore the advancements in AI technology, the financial investments driving the industry, and the potential risks associated with AI models, particularly in the context of international competition and regulatory frameworks. In this conversation, they delve into the complexities of data management, user experience, and the implications of AI on identity and creativity. They discuss the challenges of distinguishing between human and AI interactions, the potential rise of micro companies utilising AI, and the importance of creativity in leveraging AI tools effectively. The conversation highlights the ethical considerations surrounding AI and the evolving landscape of technology in business.TakeawaysAI is projected to significantly contribute to global GDP by 2030.The US currently leads in AI investment compared to China.China's DeepSeek model shows competitive performance against Western models.Safety and ethical considerations are crucial in AI development.OpenAI's privacy promises may have been more of a PR strategy than a genuine commitment.The competition between the US and China in AI is intensifying.Public perception and trust in AI models are influenced by safety concerns.The financial commitment to AI development is critical for future advancements.Legal implications regarding data usage in AI are emerging as a significant issue. Data management policies often fall short in protecting user data.AI's ability to regenerate content raises concerns about authenticity.The distinction between human and AI interactions is becoming blurred.Micro companies may leverage AI to reduce operational costs.Creativity is essential for effectively using AI tools.The rise of digital twins poses identity challenges for individuals.Legislation around data scraping is still evolving.AI tools can democratise entrepreneurship by lowering barriers.Understanding AI's limitations is crucial for effective implementation.The future may see organisations run predominantly by AI agents.Chapters00:00 Welcome Back and New Beginnings11:12 Safety and Ethical Considerations in AI17:06 Data Management and User Experience Challenges24:23 The Rise of Micro Companies and AI Integration29:50 Navigating AI Tools and CreativitySupport 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.

Send us Fan MailIn this episode of the Project Flux podcast, we discuss our predictions for AI in 2025. We explore the rise of large AI models, the shift towards smaller specialised models, and the emergence of agentic workflows. The conversation also covers advancements in memory and attention, the future of robotic AI, and the adoption of generative AI in organisations. Additionally, we delve into AI's impact on wealth management, healthcare innovations, spatial computing, the importance of data centres, and the competitive landscape between the US and China in AI development. The episode concludes with a discussion on AI safety levels and the role of AI in retail personalisation.Takeaways2025 is expected to be a significant year for AI advancements.Larger AI models will continue to evolve, but data scarcity poses challenges.Smaller, specialised AI models will provide better ROI for businesses.Agentic workflows will become more mainstream, allowing for more autonomous systems.Improvements in memory and attention will enhance AI's ability to understand users.Robotic AI will start to bridge the gap between humans and machines in various sectors.Generative AI adoption is still a work in progress, with companies learning to integrate it effectively.AI will hyper-personalize insights in wealth management, impacting financial decision-making.Healthcare will see innovations in treating diseases, aided by AI technologies.Spatial computing will experiment with AI, particularly in healthcare and surgery.Chapters00:00 New Year, New Predictions for AI03:10 The Rise of Large AI Models05:48 The Shift to Smaller, Efficient Models08:39 Agentic Workflows and Multimodal Architectures11:31 Enhancements in Memory and Attention14:26 The Emergence of Robotic AI17:23 Generative AI's Impact on Business Adoption18:53 AI Deployment and Wealth Management22:10 Healthcare Innovations and AI24:56 Spatial Computing in Medicine27:03 Data Centers and AI Infrastructure28:48 Mergers and Acquisitions in AI30:01 AI and Cryptocurrency Convergence31:41 US-China AI Supremacy Race34:43 AI Safety Levels and Ethical Considerations37:21 AI in Retail and Personalization39:18 Introduction and Sponsorship Highlights39:41 Engagement and Community BuildingSupport 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.

Send us Fan MailIn this Christmas special episode of the Project Flux podcast, hosts James Garner and Yoshi Soornack discuss the recent unveiling of OpenAI's O3 model, which is touted as the most powerful language model to date. They delve into its performance benchmarks, the ongoing debate about its classification as AGI, and the implications for project management and emotional intelligence in AI. The conversation also touches on safety protocols and the future of AI technology, concluding with reflections on the rapid advancements in the field and their potential impact on society.TakeawaysOpenAI's O3 model is considered a significant advancement in AI.The model's performance on benchmarks raises AGI discussions.Safety protocols are crucial as AI capabilities grow.Emotional intelligence remains a challenge for AI models.The timeline for AGI may be closer than previously thought.AI's impact on project management is still uncertain.Public perception of AI advancements is complex and technical.The rapid release of AI models indicates an arms race in technology.Understanding human behavior is essential for AI development.Future predictions for AI are optimistic but require caution. Chapters00:00 Christmas Greetings and Excitement01:00 OpenAI's O3 Model Unveiled02:58 Performance Benchmarks and AGI Debate06:02 Safety Protocols and Model Alignment08:56 Generalization and Emotional Intelligence in AI11:54 Implications for Project Management and Future Predictions14:47 The Future of AI and Public PerceptionSupport 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.

Send us Fan MailSummaryIn this conversation, James Garner and Yoshi Soornack discuss the latest advancements in AI and quantum computing, focusing on Google's new Willow chip and Gemini 2.0. They explore the implications of these technologies for project management and the future of AI, including insights from OpenAI's co-founder Ilya Sutskever. The discussion also touches on the challenges of data scarcity and the unpredictability of advanced AI systems, concluding with a year-end roundup and reflections on the progress made in 2024.TakeawaysGoogle's Willow chip represents a significant advancement in quantum computing.Quantum computing can solve problems at speeds unimaginable with traditional computing.The release of Gemini 2.0 marks a pivotal moment for Google in the AI landscape.OpenAI is actively enhancing its features to remain competitive.Ilya Sutskever warns about the limitations of current AI training data.The unpredictability of AI systems poses ethical and practical challenges.AI's ability to generate its own data could lead to unforeseen consequences.The integration of AI and quantum computing could revolutionize project management.Chapters00:00 Introduction to the Christmas Special09:58 Google's Gemini 2.0 and Project Mariner18:36 Ilya Sutskever's Address on AI's Future24:59 The Rise of Microsoft Co-Pilot25:56 Understanding Parametric Design in Construction26:46 The Impact of Parametrics on Project Management27:17 Understanding Digital Literacy and Technology Adoption28:08 Challenges in Training and Implementation of New Technologies29:14 Ethical Implications of AI Autonomy31:26 The Role of AI in Value Creation32:20 Automation and Scaling in Project Management32:42 Understanding the Manifesto's Key Outcomes34:38 Exploring Common Queries in Construction AI35:04 Integrating Payment and Project Data into AI35:29 The Impact of Self-Transformation36:22 The Evolution of Image Editing37:19 AI's Impact on Creative Processes37:42 The Investment Race in AI38:12 The Impact of Major Players in AI Development38:21 Understanding Project Data Analytics through Sat Nav39:09 The Importance of Accurate Progress Measurement39:30 Navigating Software Selection Challenges40:11 Streamlining Software Testing with Virtual Solutions40:45 From Sentinel to Cyborg: The Evolution of Tool Use42:22 Adapting to an AI Future43:16 The Evolution of Jobs in the AI Era43:20 The Evolving Role of Humans in AI Decision Making44:16 The AI Hype and Corporate Response44:44 Strategic AI Implementation in Business44:57 Understanding People Systems in Tech45:26 The Challenge of OKR Implementations45:45 The Human Element in Technology46:13 Understanding Stakeholder Challenges46:40 Harnessing AI for the Built Environment47:08 Improving Project Delivery with AI47:32 Taking Responsibility in Business Relationships48:01 The Role of Systems inSupport 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.

Send us Fan MailIn this episode of the Project Flux podcast, we speak with David Belshaw from Rolls Royce about the integration of AI and data analytics in project management. We discuss David's journey from mechanical engineering to project management, the importance of collaboration through the Project Data Analytics Coalition, and the transformative potential of AI in enhancing project planning and execution. The conversation highlights the need for industry professionals to embrace these technologies to improve outcomes and drive innovation.TakeawaysAI is revolutionising project management by enhancing decision-making processes.Collaboration among industry players is essential for solving common challenges.Data analytics can significantly improve project planning and forecasting accuracy.The Project Data Analytics Coalition aims to share solutions and best practices across companies.AI tools can help project managers focus on value-added tasks rather than administrative duties.Continuous learning and adaptation are crucial in the rapidly evolving field of project management.Engaging with AI technologies can lead to innovative solutions and improved project outcomes.The future of project management will heavily rely on data-driven insights and AI capabilities.Building a culture of sharing knowledge and experiences can accelerate industry progress.Embracing AI is not just about technology; it's about enhancing human capabilities in project management.Chapters00:00 The Weekly Pulse - AI stories of the week24:00 Interview with David Belshaw starts24:44 The Importance of Data in Project Management29:29 The Project Data Analytics Coalition34:53 Tangible Outputs and Innovations from the Coalition40:24 Learning Through Apprenticeships and Practical Experience46:54 Rolls-Royce's Role in Shaping Project Management Standards51:56 The Growing Momentum in Data Analytics and AI Adoption56:55 Engagement and Community BuildingSupport 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.