In this episode, Dale and Alan discuss their whereabouts and the concern around Greg and Val. They also talk about Alan's visit to Lake Havasu City and the interesting story behind the relocation of the original London Bridge. The conversation then shifts to Alan's experience at the Google Cloud Next conference and the lack of representation from the construction and project management industry. They explore the barriers to adoption of AI in these industries and discuss the potential for creating competition and innovation within organizations. They also touch on the importance of willingness to try new things and the need for change in the face of increasing project complexity. In this conversation, Alan and Dale discuss various topics related to AI and technology. They touch on the challenges of politics in the project profession, the impact of deepfakes on politics, workforce development in the age of AI, AI washing, and the use of AI in security. They also briefly mention a tool called Daven, which is an automated software engineer. Overall, the conversation explores the intersection of AI, technology, and society. 🙌 Takeaways: 🪴 The original London Bridge was relocated to Lake Havasu City in Arizona in 1967. 🪴 The construction and project management industry is underrepresented in conferences and events focused on AI and technology. 🪴 There are barriers to the adoption of AI in these industries, including a lack of understanding of AI's benefits and the perception that it takes too much time to implement. 🪴 Creating competition and a culture of innovation within organizations can help drive the adoption of AI and new technologies. 🪴 Projects are becoming more complex, and there is a need for willingness to try new approaches and simplify project delivery. Politics can be a challenge in the project profession, slowing down progress and improvement. 🪴 Deepfakes are becoming increasingly sophisticated and can have a significant impact on politics and society. 🪴 AI is creating new job opportunities in areas such as design, system integration, and responsible AI. 🪴 AI washing, where companies mislead about the presence of AI in their products, is a concern. 🪴 AI can be used in security to automate detection and improve endpoint management. 🪴 The use of AI in various industries raises questions of accountability and responsibility. 🪴 Building AI in-house may not be the best approach for organizations, and it's important to focus on core competencies. Chapters 00:00 The Mystery of Greg and Val 08:30 The Lack of Representation in the Construction Industry 25:20 Dealing with Increasing Project Complexity 41:01 The Impact of Deepfakes on Politics 52:09 Workforce Development in the Age of AI Subscribe on YouTube and follow us on Spotify: YouTube: www.youtube.com/@GenAIPodcast Spotify: https://open.spotify.com/show/7vj7VdckiifSuyVc9EV0SB?si=078f3747c26e4d61 Connect with us on LinkedIn: https://www.linkedin.com/company/gen-ai-podcast #AI #ProjectManagement #Technology #Innovation #FutureOfWork

In this conversation, Dale and Alan discuss the disappearance of Val and asks for help in finding him. They also talk about the recent news of the SEC fining investment advisors for falsely claiming to use AI in their strategies. Alan believes that regulators stepping in to prevent AI washing is a positive development. They also discuss the appointment of Mustafa Suleyman as the CEO of Microsoft AI and the potential impact on the industry. Alan emphasizes the importance of understanding user needs and building strong product leadership in AI companies. Lastly, they share their thoughts on the recent press release by OpenAI and the potential influx of AI-washed companies seeking investment. The conversation covered several themes related to AI and data centers. One theme was the importance of sustainable energy for data centers, especially for AI training, which consumes a significant amount of energy. The idea of using solar panels and small modular reactors in deserts as a solution was discussed. Another theme was the skepticism about the impact of the UK government's release of AI in project management (and the IPA) and the challenges of driving adoption of AI in businesses. The need for concrete plans and alignment among organizations was highlighted. The conversation also touched on the role of AI platforms and the importance of building interfaces that have a real impact on users' jobs. Takeaways Val's disappearance and the call for help in finding himThe SEC's crackdown on investment advisors falsely claiming to use AIThe appointment of Mustafa Suleyman as CEO of Microsoft AI and the need for strong product leadershipThe potential influx of AI-washed companies seeking investment Sustainable energy is crucial for data centers, particularly for AI training.Using solar panels and small modular reactors in deserts could be a solution for powering data centers.Driving adoption of AI in businesses is a challenge, and concrete plans and alignment among organizations are needed.AI platforms should focus on building interfaces that have a real impact on users' jobs. Chapters 04:47 Defining AI in Products 07:27 Mustafa Suleyman Becomes CEO of Microsoft AI 12:06 Saudi Arabia's Investment in AI 27:47 Ethics and Morality in Saudi Arabia 32:09 AI and Project Data Analytics in UK Government 38:48 Adoption of AI in Project Delivery Subscribe on YouTube and follow us on Spotify: YouTube: www.youtube.com/@GenAIPodcast Spotify: https://open.spotify.com/show/7vj7VdckiifSuyVc9EV0SB?si=078f3747c26e4d61 Connect with us on LinkedIn: https://www.linkedin.com/company/gen-ai-podcast #AI #ProjectManagement #Technology #Innovation #FutureOfWork

Summary In this episode, Dale and Alan discuss various topics related to AI, including the ethical implications of AI development, playing God, wealth inequality, job displacement, and surveillance and privacy. They explore the potential impact of AI on the construction and project delivery profession and debate the trade-off between individual privacy rights and the need for surveillance. The conversation touches on the role of AI in decision-making and the potential for AI to exacerbate wealth inequality. Overall, the episode provides insights into the challenges and opportunities presented by AI. The conversation explores various themes related to AI, including data security, privacy concerns, the future of human-AI relationships, AI in warfare, and AI for social good. Takeaways AI development raises ethical implications and questions about playing God.The introduction of AI into the economy can exacerbate wealth inequality.Job displacement and economic disruption are potential consequences of AI.The trade-off between individual privacy rights and surveillance is a key consideration in the age of AI. Current security systems have limitations in protecting personal data, and there is a need for more advanced and secure systems.Biometric authentication, such as fingerprints and iris scanning, can be vulnerable to theft and misuse.Organizations should focus on the value extracted from data rather than just owning it, as the real competitive advantage lies in the insights and information derived from data.AI has the potential to improve public services, advance educational opportunities, and address environmental and healthcare challenges.The use of AI in warfare raises ethical concerns and the need for international regulations. Chapters 00:00 Introduction and Missing Hosts 00:30 Willy Wonka Experience in Glasgow 00:58 Growing the Podcast 03:16 Ethical Implications of AI Development 04:03 Playing God 05:09 Wealth Inequality 06:03 Job Displacement and Economic Disruption 09:42 AI and Wealth Inequality 11:33 Surveillance and Privacy 26:14 The Limitations of Current Security Systems 27:07 The Vulnerability of Biometric Authentication 29:15 Privacy Concerns in Project Delivery 30:27 Balancing Competitive Advantage and Privacy 33:46 The Value of Data and Competitive Advantage 35:44 The Future of Human-AI Relationships 41:38 AI in Warfare and Lethal Autonomous Weapons 46:51 AI for Social Good Subscribe on YouTube and follow us on Spotify: YouTube: www.youtube.com/@GenAIPodcast Spotify: https://open.spotify.com/show/7vj7VdckiifSuyVc9EV0SB?si=078f3747c26e4d61 Connect with us on LinkedIn: https://www.linkedin.com/company/gen-ai-podcast #AI #ProjectManagement #Technology #Innovation #FutureOfWork

Summary In this episode, the hosts discuss various myths surrounding AI. They address misconceptions such as AI fully replicating human intelligence, AI leading to massive job losses, AI being infallible and unbiased, AI fully understanding and interpreting human emotions, AI surpassing human intelligence and becoming autonomous, all AI being similar, and AI being able to solve all problems. They explore the complexities and limitations of AI, emphasizing the need for a nuanced understanding of its capabilities and potential. In this conversation, the hosts discuss various topics related to AI and its capabilities. They explore the potential of AI to contribute to scientific discoveries and the excitement of the first AI-driven Nobel Prize. They also delve into the question of whether AI can solve the complex emotion of love. Finally, they address the myth that implementing AI is always expensive and complex, highlighting the different perspectives and contexts that determine the cost and complexity of AI implementation. Takeaways AI is a complex and evolving field, and it is important to have a nuanced understanding of its capabilities and limitations.Misconceptions about AI can lead to unrealistic expectations and fears. It is crucial to separate fact from fiction and rely on evidence-based information.AI has the potential to greatly impact various industries, including construction, but its implementation should be approached with careful consideration and evaluation of specific use cases.The future of AI is uncertain, and it is difficult to predict its full potential. Ongoing research and advancements will continue to shape the field.AI should be viewed as a tool that can augment human capabilities rather than replace them. Collaboration between humans and AI can lead to innovative solutions and improved outcomes. AI has the potential to contribute to scientific discoveries and may even be awarded a Nobel Prize in the future.The complexity of love makes it unlikely for AI to fully solve the emotion, but it can assist in certain aspects, such as providing suggestions for romantic gestures.The cost and complexity of implementing AI vary depending on the specific use case and goals. It can range from simple AI applications to complex organizational transformations. Chapters 00:00 Introduction and Missing Host 03:03 Tech Talk and Tinfoil Hats: AI Myths 10:10 AI's Ability to Predict the Future 17:25 AI's Impact on Job Losses 24:15 AI's Ability to Replicate Human Intelligence 25:47 AI's Understanding of Human Emotions 28:00 AI Surpassing Human Intelligence 30:12 All AI Being Similar 35:09 AI's Ability to Solve All Problems 39:51 AI and Scientific Discoveries 40:44 Can AI Solve Love? 47:00 Implementing AI: Expensive and Complex? Subscribe on YouTube and follow us on Spotify: YouTube: www.youtube.com/@GenAIPodcast Spotify: https://open.spotify.com/show/7vj7VdckiifSuyVc9EV0SB?si=078f3747c26e4d61 Connect with us on LinkedIn: https://www.linkedin.com/company/gen-ai-podcast #AI #ProjectManagement #Technology #Innovation #FutureOfWork

Summary In this episode, Dale and Greg discuss the ownership and value of data in the context of AI, particularly in the construction sector. They explore the OpenAI lawsuit and the challenges of defining data ownership. They also discuss the role of data in contract administration and the potential benefits of sharing commercial data. The conversation delves into the difference between data and information, as well as the key roles in the data field for AI, such as data engineers, data analysts, and business intelligence analysts. The episode concludes with a call for perspective and engagement from the audience. Takeaways The ownership of data is a complex and evolving issue, with legal precedents and market dynamics shaping the landscape.Sharing commercial data in the construction sector can lead to improved project delivery and outcomes.Different roles, such as data engineers, data analysts, and business intelligence analysts, play crucial roles in leveraging data for AI.Understanding the distinction between data and information is essential for effective data analysis and decision-making.The value of data lies in its application and the insights derived from it, rather than mere ownership. Chapters 00:00 Introduction and Background 01:29 Data Ownership and OpenAI Lawsuit 03:13 Ownership of Education and Intellectual Property 04:30 Confidential Information and IP Ownership 06:31 Ownership of AI Algorithms and Outputs 08:01 Data Sharing in the Construction Sector 10:33 Value and Risks of Sharing Commercial Data 11:39 Using Data to Improve Contract Administration 12:29 Using Data to Optimize Contract Terms 17:23 Difference Between Data and Information 19:13 Roles in the Data Field for AI 29:44 Importance of Data Engineers and Business Intelligence Analysts 33:38 The Role of Systems Engineers and Architects 42:49 The Need for Translators in Data Roles 45:04 Final Thoughts on Data and AI Subscribe on YouTube and follow us on Spotify: YouTube: www.youtube.com/@GenAIPodcast Spotify: https://open.spotify.com/show/7vj7VdckiifSuyVc9EV0SB?si=078f3747c26e4d61 Connect with us on LinkedIn: https://www.linkedin.com/company/gen-ai-podcast #AI #ProjectManagement #Technology #Innovation #FutureOfWork

Summary In this episode, the hosts discuss the future of project management and the potential for automation to streamline processes and improve productivity. They explore the trade-offs and challenges of adopting new technology, including the resistance to change and the need for cultural shifts. The conversation also delves into the concept of hallucination in generative AI and how it can be addressed through grounding and cross-referencing information. The hosts emphasize the importance of critical thinking and verification when using AI-generated content. Overall, the episode highlights the inevitability of automation and the need for humans to adapt and navigate this evolving landscape. In this conversation, the hosts discuss various topics related to AI and technology. They touch on the flat earth theory and its implications, the occurrence of hallucinations in AI and humans, the importance of multiple sources of information, thinking differently and contrarian worldviews, the speed of advancements in AI, and the acceleration of change. They conclude with closing remarks and a call to action for listeners to engage and share their thoughts. Takeaways Automation has the potential to revolutionize project management by streamlining processes and improving productivity.The adoption of new technology requires a cultural shift and may face resistance from individuals who are resistant to change.Hallucination in generative AI refers to a mismatch between the model's world model and the user's world model.To address hallucinations, it is important to cross-reference information and verify the accuracy of AI-generated content.The value and perception of AI should be considered, and AI should be treated with respect and responsibility. The flat earth theory challenges established scientific knowledge and highlights the need to question and test assumptions.Hallucinations are not exclusive to AI and technology; humans also experience them.It is important to seek information from multiple sources to gain a comprehensive understanding of a topic.Thinking differently and considering contrarian viewpoints can lead to new insights and perspectives.Advancements in AI are happening rapidly, and the performance of generative models will continue to improve.The rate of change in technology and AI is accelerating, and it is crucial to adapt and stay informed.Listeners are encouraged to engage with the hosts, share their thoughts, and help spread the podcast. Chapters 00:00 Introduction and Stats 01:28 Congratulations and Personal Updates 03:35 The Future of Project Management 11:06 Adoption of New Technology 14:16 The Trade-Offs of Using Technology 19:00 The Impact of Automation on Workload 25:38 The Inevitability of Automation 32:30 Understanding Hallucination in Generative AI 36:30 Identifying and Addressing Hallucinations 42:36 The Value and Perception of AI 44:05 Flat Earth Theory and its Implications 45:20 Hallucinations and Belief Systems 46:14 The Importance of Multiple Sources of Information 46:40 Thinking Differently and Contrarian Worldviews 48:11 The Speed of Advancements in AI 49:31 The Acceleration of Change 50:23 Closing Remarks and Call to Action Subscribe on YouTube and follow us on Spotify: YouTube: www.youtube.com/@GenAIPodcast Spotify: https://open.spotify.com/show/7vj7VdckiifSuyVc9EV0SB?si=078f3747c26e4d61 Connect with us on LinkedIn: https://www.linkedin.com/company/gen-ai-podcast #AI #ProjectManagement #Technology #Innovation #FutureOfWork

Summary The conversation covers various topics related to the adoption and impact of generative AI in different industries, particularly in project management. The opening of the GPT Store, similar to an app store for AI models, is discussed, along with the potential advantages and challenges it presents. The introduction of Microsoft Sophia, an AI-powered dashboard generator, is highlighted as an example of AI replacing user interfaces. The conversation also explores the potential benefits and concerns of AI in human interaction and behavior. The barriers to AI adoption and the role of AI in project management are examined, as well as the potential for AI to improve user interfaces on construction sites. The misrepresentation of AI by companies is addressed, and strategies for reaching out to non-AI users are discussed. The conversation concludes with final thoughts on the importance of trying AI technologies and sharing knowledge with colleagues. Takeaways The opening of the GPT Store provides opportunities for individuals to create and share their own AI models, but it may also lead to an influx of low-quality and noise-generating models.AI has the potential to replace user interfaces and change the way humans interact with technology, leading to a convergence of AI and the internet.The adoption of AI in project management can lead to significant cost savings and improved efficiency, but cultural barriers and resistance to change may hinder its implementation.AI has the potential to improve communication and decision-making on construction sites, but the user interface needs to be intuitive and non-intrusive.Companies misrepresenting their products as AI can create confusion and skepticism, making it important for users to try the technology themselves and discern between genuine AI and traditional software.To promote the adoption of AI, early adopters should share their experiences and knowledge with colleagues, and organizations should focus on creating a culture of curiosity and openness to new technologies. Chapters 00:00 Introduction and Welcome 03:08 Opening of the GPT Store 07:49 OpenAI's Goal with the Store 09:22 Introduction of Microsoft Sophia 11:39 Impact of Generative AI on Human Interaction 15:53 AI in Project Management 20:48 Barriers to AI Adoption 23:23 AI on Construction Sites 27:56 Improving User Interface for AI 32:43 Misrepresentation of AI by Companies 37:47 Reaching Out to Non-AI Users 39:56 Final Thoughts and Conclusion Subscribe on YouTube and follow us on Spotify: YouTube: www.youtube.com/@GenAIPodcast Spotify: https://open.spotify.com/show/7vj7VdckiifSuyVc9EV0SB?si=078f3747c26e4d61 Connect with us on LinkedIn: https://www.linkedin.com/company/gen-ai-podcast #AI #ProjectManagement #Technology #Innovation #FutureOfWork

In this episode, Dale and Greg take a cheeky yet insightful dive into the AI universe! Human-AI Interaction: How we're dancing with AI in our projects. 💃🤖AI in Decision Making: Juggling AI advice with good old gut feeling. 🤹Risk & Responsibility: Navigating the tricky waters of AI ethics. ⚖️Adapting with AI: Embracing AI without losing our marbles! 🔄AI's Future: Pondering AI's role in our work life. 🔮 Check us out! YouTube: https://www.youtube.com/@GenAIPodcast LinkedIn: https://www.linkedin.com/company/gen-ai-podcast #AI #ProjectManagement #TechTalk #FutureIsNow #InnovationStation For a full giggle and gab, give Episode 2 a listen! 🎧🤣

🎬 In this laughter-packed episode, our dynamic duo Dale and Alan take the stage to reveal the secret sauce behind the birth of the GenAI Podcast. It's a story filled with twists, turns, and a touch of tech genius. Think of it as the 'origin story' every superhero podcast deserves! 🤖 Get ready to demystify generative AI with the guys who eat neural networks for breakfast! They're breaking down what generative AI really means for the mortals in project management, and trust us, it's more exciting than finding free Wi-Fi! 🎤 Recorded live with an audience more vibrant than a double espresso, this episode features on-the-fly questions about project planning and risk management. It's like a game show, but with smarter questions and even smarter hosts. 🔔 Want more of this AI-meets-comedy action? Be sure to follow and subscribe – because missing out would be like using a flip phone in 2023: YouTube:  https://www.youtube.com/@GenAIPodcast LinkedIn: https://www.linkedin.com/company/gen-ai-podcast 👓 Tune into Episode 2 for a riot of insights and interactions, where AI isn't just a buzzword but a buddy. It's where project management gets its PhD in cool. #GenAIPodcast #AIComedyCentral #ProjectManagementWithLaughs