Project Flux

Send us a textSummaryIn this conversation, Johnny, co-founder and chief product officer of Fifth Dimension, discusses the challenges and opportunities of integrating AI into the real estate industry. He emphasizes the importance of understanding the hype surrounding in-house AI development, the need for skilled professionals, and the significance of training and change management in successful AI adoption. The discussion also covers the evolution of AI tools, the concept of data liberation, and the future of AI in enhancing decision-making processes within real estate.TakeawaysThe hype around in-house AI can lead to unrealistic expectations.Real estate firms need skilled AI engineers to implement effective solutions.Training and change management are critical for successful AI adoption.AI should be seen as a tool to enhance human judgment, not replace it.Data liberation is essential for effective AI implementation.The pace of technological change presents both challenges and opportunities.Context engineering is a key aspect of future AI applications.Personification of AI can improve user experience and adoption.Organizations should focus on specific use cases for AI implementation.Collaboration between technology and real estate professionals is vital for success.Chapters00:00 Introduction to Johnny Morris and His Journey05:45 The Evolution of AI in Real Estate10:54 Understanding AI's Role and Human Judgment16:19 Data Liberation and Its Importance21:41 The Evolution of Fifth Dimension and Its Products27:04 Personification of AI and Its Implications28:48 The Hype Around In-House AI Development28:56 The Hype of In-House AI35:44 Designing an AI Strategy for Real Estate38:39 Automating Daily Tasks and Productivity Tools42:48 The Future of AI: Context Engineering47:07 Unleash the Code 1 Second.mp347:10 james .mp447:47 Unleash the Code 1 Second.mp347:50 ending.mp448:24 Unleash the Code Intro.wavLinks and Stuff Johnny MorrisSupport 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 Data Analytics Taskforce site

Send us a textSummaryThis conversation explores the multifaceted impact of AI across various sectors, particularly focusing on its implications for job stability, environmental concerns, and the construction industry. Experts discuss the rapid evolution of AI technologies, their practical applications in business, and the importance of adapting to these changes. The dialogue also addresses the environmental impact of AI and the role of government regulation in facilitating or hindering AI adoption.TakeawaysAI is a foundational technology that will transform business operations.Generative AI is distinct and will disrupt traditional workflows.AI can enhance productivity and democratize access to skills.The construction industry is slow to adopt AI but has significant potential.AI tools can improve project delivery and efficiency in construction.Experimentation with AI is essential for businesses to adapt.AI's environmental impact is complex but improving with advancements.Government regulation is lagging behind AI technology development.AI should be treated as a collaborative partner in business.The future of work will involve managing both humans and AI agents.Chapters00:00 The Impact of AI on Society09:13 AI in Construction: Current and Future Applications16:36 Embracing AI: Strategies for Implementation21:51 The Human-AI Collaboration Paradigm23:37 Embracing AI: Practical Steps for Implementation27:09 Environmental Considerations in AI Development29:33 Navigating the Future of Research and Space Utilization34:40 Innovative AI Applications in Construction36:40 Legal Implications and Trust in AI40:03 Government's Role in AI Advancement42:00 Jaw-Dropping AI Capabilities and Future PotentialHostsMichelle Charman https://www.linkedin.com/in/michellecharman/Emma Keyse https://www.linkedin.com/in/emmakeyse/PanellistsSean Betts https://www.linkedin.com/in/seanbetts/Paul Thorpe https://www.linkedin.com/in/paul-thorpe-88073249/James Garner https://www.linkedin.com/in/jamesgarner1976/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 Data Analytics Taskforce site

Send us a textSummaryIn this episode of the Project Flux podcast, Iain Curtis, CEO of Single Point Solutions, discusses the evolution of the construction industry, the importance of data strategy, and the role of AI in reducing risk and improving decision-making. He emphasises the need for a cultural shift within the industry to embrace technology and data analytics, while also addressing the challenges of bureaucracy and corporate inertia. The conversation highlights the potential of AI to enhance productivity and efficiency, but also the necessity of human oversight and a clear data strategy to ensure successful implementation.TakeawaysThe construction industry has not changed significantly in 30 years.Data strategy should focus on business needs, not just technology.Smaller companies are often more agile in adopting new technologies.AI can enhance productivity but requires quality data.Corporate inertia is a major barrier to innovation in construction.Failing fast and learning from mistakes is crucial for progress.AI's effectiveness is directly tied to the quality of data.Bureaucracy can hinder the adoption of new technologies.A real data strategy is an ongoing, iterative process.The future of construction relies on better communication and data sharing.Chapters00:00 Introduction to Single Point Solutions and Ian Curtis02:43 The Evolution of the Construction Industry05:30 Data Analytics in Construction08:05 Generational Differences in Tech Adoption11:07 The Importance of Data Strategy13:41 Challenges in Data Implementation16:45 The Role of Data in Decision Making23:31 Corporate Inertia and Cultural Challenges24:32 The Impact of AI on Job Roles26:58 Human in the Loop: The Future of Estimating28:14 Proactivity vs. Reactivity in the Industry29:33 Bureaucracy and AI: A Double-Edged Sword31:48 Bite-Sized Changes: Evolving Technology in Construction34:28 Learning from Failure: The Iterative Approach36:06 The Reality of AI: Hype vs. Practicality39:00 The Future of AI: Boom or Bust?Links and Stuff Iain Curtis 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 Data Analytics Taskforce site

Send us a textSummaryIn this episode of the Project Flux podcast, Dr. Raoul Gabriel-Urma, founder and CEO of Cambridge Spark, shares his insights on the rapid evolution of AI and its implications for education and enterprise. He discusses the overwhelming pace of AI development, the importance of upskilling, and the need for organizations to adapt to new technologies. Raoul emphasizes the balance between productivity and creativity, the significance of personalized learning experiences, and the ethical considerations surrounding AI. He also reflects on the future of learning and the necessity for critical thinking in an AI-driven world.TakeawaysThe pace of AI development is overwhelming for many.Education is crucial for navigating the AI landscape.Individuals must view themselves as their own customers.AI should create more value, not just free time.The ability to go deep into details is essential for CEOs.AI can enhance customer delight and efficiency.The speed of AI adoption is unprecedented in history.Verification and critical thinking are vital in AI usage.Personalized education can be tailored to individual needs.AI tools can foster creativity and innovation.Chapters00:00 Introduction to AI and Overwhelm02:54 The Importance of Education in AI05:34 Navigating AI Value in Enterprises08:35 Productivity vs. Creativity with AI11:04 The AI Skills Gap Debate13:50 Educate AI: A Solution for Learning16:31 Balancing Fundamentals and Adaptability in AI Training22:17 Understanding AI in Cost Estimation23:48 The Importance of Traceability in AI Outputs25:33 Vibe Coding: Bridging Creativity and Production27:35 Personalizing Education with AI29:16 The Challenges of Relying on AI31:05 Navigating Bias and Social Engineering in AI34:04 The Misconception of AI as a Time Saver34:51 The Role of CEOs in Detail and Strategy37:12 Defining Success in the AI Education LandscapeLinks and stuffDr.Raoul Gabriel UrmaSupport 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 Data Analytics Taskforce site

Send us a textSummaryIn this episode of the Project Flux podcast, James Garner speaks with Noel Hurley, CEO of Literal Labs, about his journey from ARM to founding Literal Labs. They discuss the evolution of AI technology, the innovative approach of settling machines, and the importance of decision intelligence in various industries. Noel emphasizes the need for explainability in AI, the human element in decision-making, and the future of work in the context of AI advancements. The conversation also touches on the UK's position in the global AI landscape and the potential of humanoid robots in construction.TakeawaysNoel Hurley's journey from ARM to Literal Labs showcases a rich experience in tech.Literal Labs focuses on energy-efficient AI solutions.Settling machines offer a logic-based alternative to traditional neural networks.Decision intelligence is crucial for businesses to leverage AI effectively.AI's role in project delivery can transform industries like construction and logistics.Explainability in AI is essential for building trust with users.Humans will always play a vital role in decision-making alongside AI.The UK must innovate to keep pace in the global AI race.AI should drive productivity growth, not just automate tasks.Building trust in AI systems is paramount for future success.Chapters00:00 Introduction to Noel Hurley and His Journey04:26 The Evolution of AI and Literal Labs07:54 Understanding Settling Machines and Their Functionality11:29 The Future of AI Architectures13:40 Use Cases and Applications of Logic-Based Models16:38 Challenges in Construction and Traceability in AI19:43 The Human-Machine Relationship20:58 AI's Impact on Project Delivery21:51 Driving Growth with AI24:30 Real Productivity Improvements25:36 Starting with AI Experimentation28:08 Deterministic Models in Project Management29:02 The Role of Explainability in AI29:46 The Future of Physical AI and Robotics32:54 Geopolitical Implications of AI35:32 Building Trust in AI Solutions38:26 Unleash the Code 1 Second.mp338:29 james .mp439:06 Unleash the Code 1 Second.mp339:09 ending.mp439:42 Unleash the Code Intro.wavLinks and stuffNoel hurleySupport 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 Data Analytics Taskforce site

Send us a textSummaryIn this episode of the Project Flux podcast, host James Garner speaks with Michael LaPage, Chief Learning Officer at Plan Academy. They discuss the impact of AI on project management, the importance of human relationships in the industry, and the role of training in project controls. Michael shares insights on the challenges of integrating AI into tools like Primavera and emphasizes the need for human judgment in project management. The conversation also touches on the future of AI in the industry and the significance of community in our lives.TakeawaysAI is exciting but can be overhyped.The human element in project management is crucial.AI won't solve all industry problems.Training is essential for effective project controls.AI tools require human judgment and scrutiny.Data alone cannot dictate project success.Community support is vital for personal and professional growth.Risk management needs a new approach.Projects often exceed budgets and timelines due to human biases.AI can distract from meaningful human interactions.Chapters00:00 Introduction to AI in Project Management02:55 The Hype and Reality of AI05:13 The Human Element in AI Integration08:02 AI's Impact on Communication and Relationships10:31 AI in Project Management Tools13:01 Plan Academy and Training in Project Controls15:51 The Future of AI in Scheduling Software22:10 Navigating AI Trust Issues in Construction24:40 Generative AI: Scrutiny and Ownership27:13 Understanding Uncertainty in Scheduling30:56 The Role of AI in Risk Management32:59 Human Dynamics in Project Management35:40 Personal Insights and Future Aspirations Links and stuff Michael lepageSupport 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 Data Analytics Taskforce site

Send us a textSummaryIn this episode of the Project Flux podcast, host James Garner and co-host Yoshi welcome Josh Schumann, director of Pepper Build Construction and consultant for Nav Live. They discuss the evolution of construction technology, the impact of AI, and the future of project management. Josh shares insights on the challenges and opportunities within the construction industry, particularly regarding the adoption of new technologies like scanning devices. The conversation also touches on personal growth through endurance events and the importance of collaboration in business.TakeawaysJosh Schumann is the director of Pepper Build Construction and consultant for Nav Live.Nav Live is a handheld LIDAR device that simplifies site scanning.The construction industry is experiencing a surge in technology adoption.AI in construction is still evolving and has not yet reached its full potential.Project management software needs to provide real-time data and guidance.Younger generations in construction are more tech-savvy and open to new tools.Endurance events provide a personal challenge and a break from work stress.The construction industry is burdened with paperwork and needs to streamline processes.Collaboration and support are crucial in both endurance events and business.The future of project management will rely on real-time data and AI assistance.Chapters00:00 Introduction to Nav Live and Construction Tech02:48 The Evolution of Project Management Software05:35 AI in Construction: Opportunities and Challenges08:01 The Future of Scanning Technology10:43 Integrating Scanning with AI and BIM13:25 Real-World Applications of Nav Live16:01 The Road Ahead for Construction Technology24:03 Optimizing Point Cloud Models for Usability26:04 Simplifying Construction Tech for End Users29:44 The Future of Project Management in Construction35:30 Endurance and Resilience: Lessons from Extreme EventsLinks and stuffjosh-schumannSupport 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 Data Analytics Taskforce site

Send us a textSummaryIn this episode of the Project Flux podcast, hosts James Garner and Yoshi Soornack speaks with Romain Tranchant, founder of Stack District and chair of the Innovation Committee at Infrastructure Mason. They discuss the evolving landscape of data centers, the impact of artificial intelligence, and the importance of optimising energy use. Romain shares insights on the shift from cloud services to co-location facilities, the future of computing with quantum technology, and the significance of living in the moment amidst a digital world. The conversation highlights the challenges and opportunities in the digital infrastructure space, emphasising the need for innovation and sustainability.TakeawaysAI is fundamentally changing the landscape of data centers.The energy demands of AI are increasing exponentially.Optimizing energy use in data centers is crucial for sustainability.AI should be viewed as a tool, not a solution.The AI arms race is driving innovation and efficiency.Co-location facilities are becoming more popular for data storage.Quantum computing is the next frontier in technology.Living analog moments is essential in a digital age.Understanding the infrastructure is key to effective management.The future of computing will involve multiple layers of abstraction.Chapters00:00 Introduction to Stack District and Infrastructure Masons02:35 The Role of AI in Data Centers06:32 Optimizing Energy Use in Data Centers10:02 AI as a Tool: Environmental Impact and Efficiency14:00 Navigating the AI Arms Race and Resource Constraints19:37 The Value Proposition of AI and Its Costs22:38 The Shift from Cloud to Co-Location26:23 Understanding Co-Location Benefits28:22 Future Trends in Data Infrastructure30:04 The Rise of Alternative Computing Technologies32:47 The Concept of Elevation in Technology37:40 Living Analog Moments in a Digital World39:34 Letting Go and Embracing ChangeLINKS AND STUFFRomain TranchantSupport 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 Data Analytics Taskforce site

Send us a textSummaryIn this episode of the Project Flux podcast, James Garner welcomes back Tom Haley, managing director of Quantik, to discuss the evolving landscape of AI in construction and project delivery. They explore the challenges of building AI tools, the importance of quantity surveyors, and the future of the industry as it adapts to new technologies. The conversation emphasizes the need for continuous learning and the integration of AI into existing processes while also addressing the potential impact on future generations.TakeawaysBuilding a custom GPT for specific tasks is challenging but rewarding.AI tools can enhance the quality and efficiency of work.The core skills of quantity surveyors will always be needed, but their application will evolve.AI will augment rather than replace quantity surveyors in the future.The construction industry is slow to adopt new technologies, but enthusiasm is growing.Tacit knowledge in the industry needs to be documented and optimized.Time management is crucial for skill development in AI.Future generations must be prepared for a world integrated with AI.The unpredictability of AI's future requires a proactive approach.Continuous learning is essential for staying relevant in the industry.Chapters00:00 Introduction and Welcome Back02:45 Challenges in AI Development05:15 Business Growth and Future Positioning07:54 Evolving Views on AI in Construction10:27 AI Tools for Quantity Surveyors13:05 The Role of Quantity Surveyors in the Future15:28 Understanding the Quantity Surveyor Profession18:22 Process Flows and AI Integration21:33 Optimizing Construction: The Key to Productivity21:47 Transforming Tacit Knowledge into Workflows23:21 The Role of AI in Construction Collaboration25:21 Adoption Challenges in the Construction Industry27:37 The Importance of Skills and Education30:22 Preparing Future Generations for AI32:20 The Future of Work and AI's Role36:11 Lessons from History: The Need for Adaptation37:05 Continuous Learning: Staying Sharp in Your FieldLink and Stuff Tom HaleySupport 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 Data Analytics Taskforce site

Send us a textThis conversation explores the findings of the Digital Transformation in Project Management Report, focusing on the impact of AI on project management practices, the cultural shifts required for successful implementation, and the importance of data quality and governance. The discussion highlights the challenges organisations face in adopting AI, the need for a hybrid approach that combines technical and interpersonal skills, and the critical role of trust and accountability in leveraging AI effectively. The participants emphasise the importance of empirical data in understanding the real-world implications of AI in project management and the ongoing evolution of the profession in response to technological advancements.TakeawaysAI is reshaping project management practices and roles.Cultural shifts are necessary for successful AI implementation.Data quality is crucial for effective AI use.Governance frameworks are needed to manage AI tools responsibly.Trust and accountability are key issues in AI adoption.A hybrid approach combining technical and interpersonal skills is essential.Empirical data provides valuable insights into AI's impact.Organizations must address resistance to change for successful transformation.AI can improve on-time delivery and project quality.The future of project management will involve continuous adaptation to AI advancements.Chapters00:00 Exploring the AI Landscape in Project Management13:31 Understanding the Impact of AI on Project Delivery20:57 Governance and Challenges in AI Implementation26:01 Bridging the Gap: From Benchmarks to Real-World Applications29:30 Bridging Digital Ambition and Operational Reality31:18 Understanding the Performance Measurement Gap32:43 The Role of AI in Project Management36:05 The Need for Organizational Change37:54 Reshaping Mindsets in Project Management42:35 Uncomfortable Truths in AI and Project Management48:55 The Future of Project Management with AILinksDownload the reportNicholas Dacre Linked In David Baxter Linked InHao Dong 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 Data Analytics Taskforce site