Project Flux

• How to Measure Anything in Project Management with Douglas Hubbard and Andreas Leed

  Send us a textSummaryIn this episode of the Project Flux podcast, hosts discuss the importance of measuring uncertainty in project management with authors Douglas Hubbard and Andreas Leed. They explore the challenges faced in different industries, the role of AI in improving project outcomes, and the need for a quantitative approach to decision-making. The conversation emphasises the human element in project management, the necessity of adapting to emerging technologies, and the future implications of AI on jobs and project management practices.TakeawaysMeasuring uncertainty can lead to better project decisions.AI can enhance project management through simulations and data analysis.Fewer projects with bigger returns are preferable.Risk matrices are ineffective and should be replaced with quantitative measures.Human involvement is crucial in AI-driven project management.Emerging technologies require adaptive project strategies.The economic value of measurement is tied to the effort put in.Understanding change is key to managing projects effectively.AI can help identify risks and improve decision-making processes.The future of project management will involve significant changes due to AI.Chapters00:00 Introduction to Project Management Measurement02:45 The Importance of Measuring Uncertainty05:34 Industry-Specific Challenges in Project Management08:10 The Role of AI in Project Management10:37 Decision-Making and Risk Analysis13:29 Emerging Technologies and Their Impact15:59 The Future of Measurement in Project Management18:43 Understanding Statistical Significance21:32 Benchmarking and Its Implications24:06 Reference Class Forecasting and AI27:00 Emergent Behavior in Complex Systems29:31 Understanding Emergent Behavior in Projects32:16 The Measurement Inversion in Project Management34:51 AI Agents and the Future of Project Management38:29 Rethinking Human Roles in an AI-Driven World45:56 Preparing for the Future: AI Safety and Workforce ChangesLink and Stuff Douglas Hubbard https://www.linkedin.com/in/dwhubbard/Andreas Leed https://www.linkedin.com/in/andreasleed/Buy the Book https://amzn.eu/d/guii8kUSupport 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

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• Is AI Replacing Consultants? An Ex-Big 4 Player Weighs In

  Send us a textSummaryIn this episode of the Project Flux podcast, Ikum Kandola, co-founder of TheAX.ai, shares his journey from PwC to launching a consultancy that leverages AI to transform traditional consulting models. The conversation explores the current state of the AI bubble, the challenges and opportunities in the consulting industry, and the importance of adapting to new technologies. Ikem discusses the concept of 'consultancy as a service' and how TheAX.ai aims to democratise access to consulting services, making them more efficient and effective. The episode also touches on the cultural resistance to AI in the UK and the potential for AI to revolutionise education and consulting practices.TakeawaysIkum Kandola transitioned from PwC to co-found TheAX.aiThe AI bubble is a topic of debate; some believe it's underhyped.PwC taught Ikem valuable lessons but also had aspects he wanted to unlearn.AI risks in consulting include public perception and data security.The productionization of consulting can lead to more efficient services.Client reactions to TheAX.ai have varied, with increasing acceptance over time.Cultural resistance to AI is prevalent in the UK consulting industry.AI in education could provide personalized learning experiences.The UK aims for AI sovereignty but faces challenges in implementation.Consultancy as a service could reshape the consulting landscape.Chapters00:00 Introduction to Ikum Kandola and AI Insights02:54 The AI Bubble: Hype or Reality?05:27 Lessons from PwC: Learning and Unlearning08:07 Navigating Risks in AI Consulting10:33 The Shift to Productization in Consulting13:03 Customer Reactions to New Consulting Models15:42 Cultural Attitudes Towards AI Adoption18:35 The Future of AI in Education21:11 Consultancy as a Service: A New Paradigm21:46 Subscription Model in Consulting23:50 Marketplace Dynamics for Consultants25:23 AI's Role in Consulting Transformation27:29 Real-World Applications of TheAX.ai30:57 Levelling the Playing Field for Boutique Consultancies32:30 Impact of AI on Large Consultancies35:30 Investor Insights on AI in Consulting37:34 Competing with Established Firms39:45 Future Curriculum for Consultantslinks and Stuff Try the AXcelerate productisation assessment: https://bit.ly/4qRSXKnCompany website: TheAX.aiMy LinkedIn: https://www.linkedin.com/in/ikum/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

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• AI Wins in Real Estate: Johnny Morris from Fifth Dimension

  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

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• Project Flux Live! Overbury Event - AI in Everyday Life and in Construction: What You Need to Know

  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

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• The Data Revolution in Construction

  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

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