GenAI podcast

In this episode, Dale and Alan reflect on the journey of the GenAI podcast and the progress of AI and tech. They discuss the current status of the AI market and the jitteriness of investors. Alan shares his opinion on the unrealistic expectations and impatience in the market. They also explore the lag in upskilling and adoption of AI, comparing it to the early days of the internet. They discuss the future delivery of AI as a product and the potential decline of software as a service (SaaS) in favor of AI interfaces that reduce friction. The conversation explores the future of user interfaces and the potential impact of AI on software as a service (SaaS) products. The speakers discuss the increasing importance of email and the desire for more efficient interfaces. They consider the possibility of moving away from visual interfaces and relying more on voice interactions. They also discuss the potential for AI-powered assistants to replace traditional user interfaces in SaaS products, using Procore as an example. The conversation highlights the importance of time and patience in the development and adoption of AI technology. Takeaways The AI market is experiencing jitteriness and unrealistic expectations from investors, leading to volatile stock prices.The adoption of AI is a long process, similar to the early days of the internet, and requires patience and time for upskilling.Software as a service (SaaS) may decline as AI interfaces that reduce friction become more prevalent.AI will be delivered as a product through interfaces that allow users to interact with AI systems using natural language or voice commands. Email continues to be important and there is a desire for more efficient interfaces.Voice interactions may become more prevalent, reducing the need for visual interfaces.AI-powered assistants have the potential to replace traditional user interfaces in SaaS products.The development and adoption of AI technology require time and patience. Chapters 00:00 Introduction and Reflection on the Podcast Journey02:13 The Jitteriness of the AI Market04:33 The Lag in Upskilling and Adoption of AI09:14 The Demise of Software as a Service (SaaS)12:04 The Future of AI Delivery: Voice Commands25:11 The Importance of Email and Desire for Efficient Interfaces28:35 Redefining Software as a Service33:22 The Future of User Interfaces35:18 Adoption of AI and the Need for Patience 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 Alan discuss the application of AI in engineering design. They explore the idea of a roadmap for AI in design, from AI-aided design to autonomous agents creating designs. They also discuss the need for healthy data for AI to consume in order to produce accurate and reliable designs. The conversation touches on the role of humans in the design process and the importance of responsible engineers. They also speculate on the potential future of AI in engineering design, including AI agents controlling robots on construction sites. In this conversation, Alan and Dale discuss the use of blockchain technology in design and the potential threats it poses. They also explore the concept of predetermined outcomes and the role of AI in the design process. They discuss the idea of AI replacing human jobs, particularly in project controls, and the need for humans to find new roles and add value. They emphasize the importance of critical thinking and curiosity in embracing AI and encourage listeners to share their perspectives and challenge others in a respectful manner. Takeaways 🍣 AI is being taken seriously by governing bodies in engineering, with organizations and associations focusing on AI in design. 🍣 A roadmap for AI in design could involve transitioning from AI-aided design to autonomous agents creating designs. 🍣 Healthy data is crucial for AI to produce accurate and reliable designs. 🍣 The role of humans, particularly responsible engineers, will still be important in the design process. 🍣 The future of AI in engineering design could involve AI agents controlling robots on construction sites. The use of blockchain technology in design raises concerns about accessibility and security. 🍣 AI can assist in predicting and optimizing outcomes in the design process. 🍣 Humans play a crucial role in setting goals and determining the intent of AI optimization. 🍣 AI has the potential to replace repetitive and mundane tasks in project controls, allowing professionals to focus on value-added decision-making. 🍣 Embracing AI requires critical thinking, curiosity, and a willingness to challenge existing beliefs and practices. 🍣 Spreading awareness and engaging in discussions about AI can help drive change and adoption in the workplace. Chapters 02:08 The Importance of AI in Engineering Design 04:53 The Need for Healthy Data in AI-Assisted Design 07:55 The Future of AI in Engineering Design: AI Agents and Robotics 15:40 AI in the Delivery Phase 21:45 The Role of Responsibility in AI-Designed Projects 23:31 Blockchain Technology in Design 26:28 AI's Role in the Design Process 28:08 Predetermined Outcomes 30:37 AI as a Companion in Professional Roles 32:30 Embracing AI and Spreading Awareness 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, Greg, and Alan discuss the importance of defining terms and understanding terminology in the context of AI. They emphasize the need for clear and simple definitions that are exclusionary and quantifiable. They also explore the challenges of defining subjective terms like 'good AI' and the importance of critical thinking and seeking diverse sources of information. The conversation highlights the need to adapt and diversify skills in the face of AI's impact on various industries and professions. Takeaways 🍣 Clear and simple definitions are crucial for effective communication and understanding in the field of AI. 🍣 Subjective terms like 'good AI' require context and agreement among stakeholders. 🍣 Critical thinking and seeking diverse sources of information are essential for forming well-informed opinions about AI. 🍣 Adapting and diversifying skills is important to stay ahead in the changing landscape of AI and its impact on industries and professions. Chapters 01:29 Toying with Character AI and Feedback on Governance as a Service 06:38 The Ambiguity of Definitions and Opinions on AI 09:33 The Importance of Critical Thinking and Seeking Diverse Sources 18:13 Preparing for the Potential Impact of AI on Careers and Industries 29:48 The Uncertainty of Predicting the Future of AI 39:12 Diversifying Sources of Information and Adapting to Change 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 discuss the concept of governance as a service (GAAS) and its potential impact on the industry. They explore the automation, predictive AI, and generative AI features of Nodes and Links and other tools, highlighting the benefits of these tools in simplifying processes, improving risk assessment, and enhancing productivity. They also touch on the challenges of defining and measuring culture in the context of AI. Overall, the conversation emphasizes the importance of specificity and tailoring AI solutions to meet the unique needs of different industries and organizations. Takeaways 🥯 Governance As A Service (GAAS) is an emerging concept that aims to automate and streamline reporting, analytics, and decision-making processes in organizations. 🥯 Nodes and Links, a project management platform, offers automation, predictive AI, and generative AI features to simplify processes, improve risk assessment, and enhance productivity. 🥯 Defining and measuring culture in the context of AI is a complex challenge that requires considering the decisions people make on a day-to-day basis. 🥯 AI solutions should be tailored to meet the specific needs of different industries and organizations, taking into account the unique challenges and requirements they face. 🥯 While true general artificial intelligence (AGI) may not exist in the near future, AI technologies can still provide significant value by automating tasks, providing insights, and improving decision-making processes. Chapters 02:37 Self-Service Reporting and the Future of the Industry 10:01 Benefits of Governance as a Service (GaaS) 18:22 The Importance of Guide Rails and Speed Bumps in Governance 22:00 Challenges in Venturing into New Markets 24:50 The Risk of Fake Checks and Online Banking 28:50 Defining Governance as a Service (GaaS) 31:25 GaaS: Making Lives Easier on Projects 33:43 The Limitations of General Artificial Intelligence (AGI) 37:48 Automation in GaaS 40:44 The Difference Between GaaS and ChatGPT 43:54 The Future of AGI and Human Rights 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 Alan discuss the recent AI Day from nPlan and the highlights of the event. They focus on GraphGen, a model that enables self-serve reporting in the construction and projects world. They also talk about Auto Report, which automates the process of creating lengthy reports, and Agent Barry, which can interact with different tools and generate reports. They explore the future of reporting, the role of AI in improving project outcomes, and the challenges of data sharing and controlling the narrative. They explore the idea of boundaries and silos in data sharing, highlighting the need to respect legal boundaries and competitive advantages. They also discuss the potential of peer-to-peer data networking, where access to data is shared without sharing the actual data. The conversation then shifts to the topic of GraphGen and its application in project planning and scheduling. They discuss the practicalities of using GraphGen, including the input process and the iterative nature of generating schedules. They also touch on the validation of schedules and the inclusion of different scheduling methodologies. The conversation concludes with a discussion on the limitations of data sets and the importance of feedback and improvement in AI models. Takeaways 🧻 GraphGen is a model that enables self-serve reporting in the construction and projects world. 🧻 Auto Report automates the process of creating lengthy reports, saving time for practitioners. 🧻 Agent Barry can interact with different tools and generate reports, providing a more efficient way of reporting. 🧻 The future of reporting may involve agent-to-agent communication, where reports are packets of information exchanged between agents. 🧻 AI has the potential to improve project outcomes, but controlling the narrative and data sharing remain challenges. Data sharing involves respecting legal boundaries and competitive advantages. 🧻 Peer-to-peer data networking allows for sharing access to data without sharing the actual data. 🧻 GraphGen can be used for project planning and scheduling, with an iterative process for generating schedules. 🧻 Validation of schedules is important, and feedback is crucial for improving AI models. Chapters 01:54 Enplan's AI Day: Introducing GraphGen and Auto Report 21:59 Challenges of Data Sharing in the Construction Industry 28:26 Data Sharing and Boundaries 30:00 Exploring Peer-to-Peer Data Networking 32:26 Automating Project Scheduling with GraphGen 34:11 The Practicalities of Using GraphGen 39:50 Validating and Adjusting Generated Schedules 53:57 GPT-4.0 and Hallucinations 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 Alan discuss the recent partnership between Apple and OpenAI and speculate on its potential impact. They explore the idea of a virtual assistant that can perform various tasks and how it could enhance daily life. However, they struggle to find a specific use case for the construction project management industry. They also touch on the future direction of Apple and Google in the AI space and discuss their personal preferences for operating systems. In this conversation, Alan and Dale discuss the potential impact of Apple and OpenAI's collaboration on the general public, as well as the construction industry. They explore the concept of vendor lock-in and the integration of different platforms and tools. They also speculate on the future of voice-controlled devices and the role of AI assistants in improving productivity. The conversation ends with a playful discussion about planning for future podcast episodes. Takeaways 🔮 The partnership between Apple and OpenAI could lead to the development of a virtual assistant that can perform various tasks and enhance daily life. 🔮 It is unclear how this partnership will specifically impact the construction project management industry. 🔮 Apple's AI lab is likely to continue its work and may incorporate OpenAI's technology into its products. 🔮 Google has also been making advancements in AI, but it is unclear how it will respond to Apple's partnership with OpenAI. 🔮 The future direction of virtual assistants is likely to involve more proactive and automated actions. 🔮 Personal preferences for operating systems vary, but many people use a combination of different platforms depending on their needs. The collaboration between Apple and OpenAI has the potential to be a game-changer for the general public, although its specific impact on the construction industry is yet to be determined. 🔮 Vendor lock-in is a strategy employed by big tech companies like Microsoft and Apple to keep users within their ecosystems, offering a wide range of integrated tools and services. 🔮 Integration between different platforms and tools is becoming less of an issue, allowing for greater flexibility and productivity. 🔮 Voice-controlled devices and AI assistants have the potential to revolutionize the way we interact with technology and improve productivity. 🔮 Planning and speculating about future developments can be an exciting and fun part of podcasting. Chapters 07:53 Exploring the Future of AI Assistants 09:35 The Evolution of AI: From Assistants to Agents 13:12 Apple's Strategy and Next Steps 16:00 Implications for the Construction Industry 21:33 Developers' Choice of Operating Systems 23:35 The Apple-OpenAI Collaboration: A Game Changer in AI? 29:02 Vendor Lock-In: Strategies and Implications 33:33 AI in the Construction Industry: Enhancing Productivity 38:12 Seamless Integration: The Key to Efficiency 41:50 The Future of Voice Assistants: Conversational AI 45:46 Planning for the Next Episode: Crystal Ball Gazing 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

[Apologies for some echo during this episode] In this episode, Dale and Greg discuss the current state of AI and its impact on various industries, including project management. They explore the concept of the prophet era in AI, where companies are no longer questioning if AI will affect them, but rather how and when. They also touch on the debate between open source and closed source large language models (LLMs) and the role of wearables and augmented reality in project delivery. The conversation emphasizes the importance of writing down thoughts, engaging in open debate, and adopting a curious mindset to stay relevant in the evolving tech landscape. Takeaways We are currently in the prophet era of AI, where companies are no longer questioning if AI will affect them, but rather how and when.The debate between open source and closed source large language models (LLMs) continues, with the understanding that building LLMs from scratch is not feasible for most organizations.Wearables and augmented reality have the potential to enhance project delivery, but their adoption and impact will vary depending on specific use cases and industries.Writing down thoughts and engaging in open debate are valuable practices for solidifying ideas and gaining different perspectives in the evolving tech landscape.Adopting a curious mindset and asking questions about unfamiliar topics can help individuals stay relevant and informed in the face of technological advancements. Chapters 03:19 The Impact of AI on Decision Making 06:37 The Role of Large Language Models in Project Delivery 09:18 Challenges and Opportunities in AI for Project Management 12:19 The Future of Automation in Project Management 26:29 The Make-or-Buy Decision in AI and Software Companies 29:31 The Role of Domain Experience in Project Delivery 36:45 The Potential of AR in Construction 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

In this episode, Dale and Alan discuss the latest release from ChatGPT, focusing on the hype around GPT-4.0 and its real-time voice generation capabilities. They explore the potential impact of voice UX and the use of different languages and domains. The conversation also touches on the fear factor associated with artificial intelligence and the concept of prompt engineering in generating high-quality responses from language models. In this conversation, Alan and Dale discuss prompt engineering and evaluation in AI models. They explore the importance of system prompts and prompt rewriting in improving the quality of AI responses. They also delve into the challenges of evaluating open-ended questions and the role of agents in decision-making. The conversation highlights the need for AI to go beyond providing information and focus on taking action. They emphasize the importance of bridging the gap between information and decision-making to achieve better outcomes. Takeaways GPT-4.0 is generating a lot of hype, especially due to its real-time voice generation capabilities.Voice UX has the potential to revolutionize user interfaces, especially for individuals with impairments.The fear factor associated with artificial intelligence often stems from the idea of superintelligence and domination.Prompt engineering is a discipline that focuses on structuring questions to language models to improve the quality of responses. Prompt engineering involves creating system prompts that instruct AI models on how to behave and respond.Prompt rewriting is a technique that involves expanding a vague question or prompt to provide more context and improve the AI's response.Evaluating the quality of AI outputs is challenging, especially for open-ended questions. Techniques like reinforcement learning with human feedback can help collect data for evaluation.AI agents that can take action and perform tasks are more valuable than those that only provide information.The speed of information is important, but the gap between information and decision-making is crucial. AI can help bridge this gap by providing rich information and simulating future outcomes. Chapters 00:00 Introduction and Hype Around GPT-4.0 03:00 Voice UX and Multilingual Capabilities 08:26 Understanding the Fear Factor in AI 27:18 Prompt Engineering and System Prompts 28:12 Prompt Rewriting for Improved Responses 29:02 Challenges in Evaluating Open-Ended Questions 35:18 The Role of AI Agents in Decision-Making 47:29 Bridging the Gap Between Information and Decision-Making Subscribe on YouTube and follow us on Spotify: YouTube: www.youtube.com/@GenAIPodcastSpotify: https://open.spotify.com/show/7vj7VdckiifSuyVc9EV0SB?si=078f3747c26e4d61Connect with us on LinkedIn: https://www.linkedin.com/company/gen-ai-podcast #AI #ProjectManagement #Technology #Innovation #FutureOfWork

In this episode, Dale and Alan discuss their experiences at the ACOST-E conference and the growing interest in AI in project controls. They explore the importance of structured data and automation in utilizing AI effectively. They also touch on the limitations of large language models in handling numerical calculations and the need for better planning capabilities in AI agents. The episode ends with a teaser about a demo that GraphGen has developed for generating schedules from text. Takeaways There is a growing interest in AI in project controls, particularly in the UK.Structured data and automation are crucial for effectively utilizing AI in project controls.Large language models have limitations in handling numerical calculations.Improving the planning capabilities of AI agents is a key focus for future development.GraphGen has developed a demo for generating schedules from text. Chapters 00:00 Introduction and Reflection on the ACOST-E Conference 01:25 The Importance of Structured Data and Automation 07:26 The Need for Better Planning Capabilities in AI Agents Subscribe on YouTube and follow us on Spotify: YouTube: www.youtube.com/@GenAIPodcastSpotify: https://open.spotify.com/show/7vj7VdckiifSuyVc9EV0SB?si=078f3747c26e4d61Connect with us on LinkedIn: https://www.linkedin.com/company/gen-ai-podcast #AI #ProjectManagement #Technology #Innovation #FutureOfWork

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