In this episode of the GenAI podcast, Dale and Alan discuss the evolution of AI, focusing on agent development kits, their applications in project delivery, and the complexities involved in creating effective AI agents. They explore market dynamics, the future of AI and robotics, and the social implications of AI relationships, ultimately questioning the path to achieving AGI. The conversation emphasizes the importance of understanding workflows and the potential risks of building AI systems without proper evaluation and oversight.
Takeaways
Chapters
02:51 The Rise of DIY AI Agents
10:22 Understanding Workflows and Agent Complexity
15:47 Use Cases for AI Agents in Project Delivery
20:42 Market Dynamics: OpenAI and AMD Collaboration
23:02 The GPU Market Dynamics
25:42 Market Manipulation and Economic Stability
29:23 Investment Trends in AI and Healthcare
31:50 The Rise of Robotics and Human-AI Relationships
34:39 AGI: The Future of AI and Robotics
37:21 The Social Implications of AI Relationships
In this episode of the GenAI podcast, Dale and Alan discuss the current state of AI, focusing on data limitations, the role of AI agents, and the implications of blockchain in project management. They explore the potential of AI in contract management, the future of job markets, and how AI could impact supply and demand dynamics. The conversation also touches on the pace of technological change and the challenges of adopting new technologies responsibly.
Takeaways
Chapters
00:00 Understanding AI Agents
10:09 The Challenge of AI Alignment
11:21 Blockchain and Project Management
13:27 AI Agents vs. Blockchain Contracts
15:41 The Future of Work and AI
18:29 The Economics of AI in the Workforce
23:34 The Art of Planning vs. Scheduling
25:24 Teaching Planning: Breaking the Gatekeeping Barrier
29:52 The Role of Technology in Planning
31:03 AI and Power Generation: A New Era
35:01 Market Dynamics and Future Predictions
In this episode of the GenAI Podcast, Dale and Alan discuss the latest developments in AI, including the release of GPT-5, the implications of open-source AI models, and the importance of security in AI development. They explore the concept of AI psychosis, the cognitive effects of interacting with AI, and the future of robotics in project delivery. The conversation also delves into the legal implications of AI, the role of humans in an AI-driven world, and philosophical considerations surrounding AI and reality.
Takeaways
Chapters
00:00 Welcome and Reflections on Breaks
02:32 The Rise of AI Agents
03:04 Exploring GPT-5 and Its Reception
04:38 Open Source AI Models and Security Risks
07:39 The Importance of Security in AI Development
09:05 Nationalism and Control in AI
10:37 The Complexity of AI Regulation
11:20 AI Psychosis: The Human-AI Relationship
17:04 Cognitive Effects of AI Interaction
21:15 Current News and Developments in AI
23:15 Gossip and Drama in the Tech World
24:08 The Rise of Robotics in Sports and Construction
24:55 Advancements in Robotics and AI Integration
31:04 The Future of Work: Human Roles in an Automated World
36:58 The Philosophical Implications of AI and Robotics
46:12 Embracing Technology for Positive Change
In this episode of the Gen AI podcast, the hosts discuss various topics related to AI, project management, and the evolving role of technology in the workplace. They share personal anecdotes, insights from recent events, and explore how AI is being integrated into organizational structures. The conversation highlights the importance of upskilling and adapting to new technologies, as well as the potential emotional and social implications of AI in the workforce. The episode concludes with a discussion on recent news in the AI space and the future of work.
Takeaways
Chapters
00:00 Welcome Back and Personal Updates
03:39 Project Intelligence Roundtable Insights
06:40 AI Roles in Organizations
09:05 Understanding Schedule Integrity
11:40 Book Insights and Project Acceleration
15:12 AI Day Highlights and Team Dynamics
20:45 The Future of Knowledge Work and AI
24:33 Education and Upskilling in AI
26:44 Harnessing Technology for Real-World Solutions
29:47 The Future of Work and Social Skills
31:39 Evolving Skill Sets in a Changing Landscape
34:26 Human Interaction vs. AI in the Workplace
38:26 Recent Developments in AI and Quantum Computing
In this episode of the GenAI podcast, Dale and Alan discuss the evolution of AI in project controls, focusing on the Model Context Protocol (MCP) and agent-to-agent communication. They explore the barriers to technology adoption, the importance of keeping up with rapid advancements, and the potential for AI to disrupt traditional industries. The conversation also touches on the rise of the gig economy and the implications of AI on social interactions and project management. Audience questions further enrich the discussion, highlighting the challenges and opportunities in the current landscape.
Takeaways
Chapters
01:25 Exploring AI and Project Controls
05:14 Understanding Agent Protocols
09:03 Adoption Barriers in AI Technology
10:30 The Future of Work and AI Agents
14:38 Organizational Change and Innovation
19:05 The Rise of One-Person Companies
22:56 AI's Impact on Society and Work
26:45 The Role of Agents in Project Management
30:33 Disruption in Cost Estimation and Legal Fields
37:29 Audience Questions and Insights
In this episode of the Gen AI podcast, Dale and Greg discuss the evolving landscape of AI in project management, touching on themes of nationalism in AI development, current applications of AI, and the importance of integrated data sources. They explore the challenges of project reporting, the future of project management with AI, and the dynamics of workforce changes due to technology. The conversation emphasizes the need for experimentation in innovation and the impact of AI on modern economies, concluding with a reflection on the balance between technology and human interaction.
Takeaways
🌍 The industry is increasingly ready to adopt automation AI.
🌍 Nationalism is influencing AI development and infrastructure.
🌍 AI can significantly improve project management efficiency.
🌍 Integrated data sources are crucial for project success.
🌍 Project controls must evolve beyond mere reporting.
🌍 AI can automate repetitive tasks in project management.
🌍 Experimentation is key to innovation in organizations.
🌍 The future of work will involve more AI applications.
🌍 AI will change the dynamics of workforce roles.
🌍 Technology adoption is becoming a necessity for project success.
Chapters
00:00 Introduction and Global AI Trends
06:31 Nationalism in AI Development
08:55 Current Applications of AI in Project Management
18:35 The Future of Project Management and AI Integration
27:47 Creating Organizational Clarity
30:17 The Importance of Experimentation
33:15 Innovation vs. Execution
36:25 The Role of Technology in Business
40:34 AI and the Future of Work
43:32 Balancing Technology and Human Interaction
46:21 Political Choices in Technological Advancement
In this episode of the Gen.ai podcast, the hosts delve into various themes surrounding AI, software development, and project management. They discuss the concept of 'vibe coding,' where developers may rely too heavily on AI, leading to potential laziness and quality issues. The conversation shifts to the dichotomy of AI usage, emphasizing the need for a balanced perspective rather than an all-or-nothing approach. The hosts advocate for open-mindedness in discussions about technology, highlighting the importance of strong opinions that are weakly held. They explore the differences between large language models and emerging large concept models, as well as the role of governments in AI development. The episode concludes with a focus on the future of AI in project controls, emphasizing the potential for prescriptive models and the opportunities that lie ahead.
Takeaways
Chapters
01:24 The Concept of Vibe Coding
08:40 AI: Dichotomies and Misconceptions
16:01 Large Concept Models vs. Large Language Models
21:10 The Future of AI Agents
22:51 Geopolitical Competition in AI
29:22 Project Controls and AI Integration
46:32 The Future of Work with AI
In this episode, Dale and Alan discuss the rapid evolution of AI models, the competitive landscape, and the implications of one-person companies in the tech industry. They explore the challenges and opportunities for entrepreneurs, the importance of understanding market demand, and the potential social consequences of a rise in solo entrepreneurship. The conversation also touches on the role of leadership in the age of AI and the need for a balance between technology and human involvement in governance. In this conversation, Dale and Alan explore the intersection of AI and various sectors, including politics, government efficiency, and the future of work. They discuss the implications of AI in elections, the challenges of remote work, and the advancements in quantum computing. The dialogue also addresses common misconceptions about AI and the ethical considerations surrounding its use in governance.
Takeaways
Chapters
00:00 Introduction and Podcast Dynamics
00:58 AI Model Releases and Market Confusion
02:55 The Competitive Landscape of AI Models
05:48 Open Source Models and Hosting Solutions
07:47 Advice for Entrepreneurs in AI
09:46 The Rise of One-Person Companies
13:05 Social Implications of One-Person Companies
14:58 The Future of Work and AI's Role
18:50 Leadership in the Age of AI
22:51 The Role of Technology in Governance
28:04 Navigating AI in Politics
29:30 The Role of AI in Elections
30:36 Government Efficiency and AI
31:40 Ethics and AI in Governance
33:08 Remote Work vs. Office Culture
35:32 The Future of Work: Hybrid Models
39:12 Exploring Grok and AI Developments
43:50 Quantum Computing: The Next Frontier
49:08 Debunking AI Myths and Misconceptions
In this episode, the hosts discuss the rapid commoditization of AI technologies, the implications for businesses, and the emergence of agentic AI. They explore the stages of technology commoditization, the differences between AI agents and agentic AI, and the importance of understanding one's core competencies in the face of evolving AI capabilities. The conversation also touches on practical tools and productivity hacks for leveraging AI effectively.
Takeaways 🍕 AI is moving towards commoditization faster than any technology before. 🍕Understanding the stages of technology development is crucial for businesses.
🍕Agentic AI represents a new frontier in AI capabilities.
🍕Companies must focus on their core competencies and not get distracted by AI hype.
🍕The commoditization of AI will lead to increased competition and innovation.
🍕Businesses should consider the make-or-buy decision regarding AI solutions.
🍕Not all companies need to build their own AI; sometimes it's better to buy.
🍕The importance of modular experimentation with AI technologies.
🍕Productivity tools like Operator and Claude can enhance efficiency.
🍕In-person discussions can lead to richer conversations and insights.
Chapters
00:00 Introduction and Context Setting
10:58 Understanding Commoditization in Technology
16:19 The Rise of Agentic AI
34:56 Implications for Businesses in AI Adoption
In this episode of the GenAI podcast, Dale and Alan discuss the recent emergence of DeepSeek, a Chinese AI company that has made headlines for its innovative models and the misinformation surrounding them. They delve into the specifics of DeepSeek's models, including V3 and R1, and explore the implications of open-source technology in AI. The conversation also touches on the impact of misinformation on the market, the significance of reinforcement learning, and the myths surrounding artificial general intelligence (AGI). Throughout the discussion, they emphasize the importance of understanding the technology and encourage listeners to engage with AI tools directly.
Takeaways
👀 DeepSeek is a Chinese hedge fund's research team focused on generative AI. 👀 The company has released multiple models, including V3 and R1, which are significant in the AI landscape. 👀 Misinformation about DeepSeek's capabilities has led to market fluctuations. 👀 Open-source technology allows for greater collaboration and innovation in AI. 👀 The distillation process helps create smaller, more efficient models from larger ones. 👀 Reinforcement learning is being used in new ways to enhance AI reasoning capabilities. 👀 The efficiency of AI models can lead to market growth and new applications. 👀 AGI remains a nebulous concept, and current models are not true AGI. 👀 Engagement with AI tools is crucial for understanding their capabilities and limitations. 👀 The conversation around AI is drawing more public interest and awareness.
DeepSeek on HuggingFace: https://huggingface.co/deepseek-ai/DeepSeek-R1
Chapters
00:00 Breaking News: The Emergence of DeepSeek
01:36 Understanding DeepSeek: The Basics
06:29 DeepSeek's Models: V3 and R1 Explained
12:46 Misinformation and Market Impact
15:24 Open Source: What Does It Mean?
20:19 The Distillation Process and Model Performance
27:38 Reinforcement Learning: A New Approach in AI
28:26 Human-Centric Model Training
29:50 Reinforcement Learning Breakthroughs
31:45 DeepMind's Influence on AI Development
33:50 Efficiency Gains in AI Training
35:51 The Future of AI Agents
37:48 Concerns Over Data Privacy
39:36 Debunking AGI Myths
44:02 The Road to True AGI
46:21 The Emergence of Zero-Person Companies
51:19 Navigating the Landscape of AI Content
54:42 Final Thoughts on AI's Future
Don’t Forget to Share & Subscribe! 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 kick off Season Two by discussing the recent 500 billion dollar investment in AI announced in the US and its implications for data centers and technology. They explore the role of government in these investments, the future of major players like Apple and Oracle, and the importance of efficiency metrics in AI. The conversation also touches on productivity tools and innovations that are emerging in the AI landscape, as well as the potential shift from point solutions to more integrated agentic behaviors in technology.
Takeaways
🧌 The 500 billion dollar investment is primarily aimed at building data centers and small modular reactors. 🧌 NVIDIA is a major beneficiary of the current AI investment landscape. 🧌 Government involvement in AI investments may be more about propaganda than actual funding. 🧌Apple has a strong machine learning group but tends to be cautious in its market approach. 🧌Efficiency in AI is driven by both hardware advancements and algorithm improvements. 🧌The concept of tokens per dollar per watt is crucial for understanding AI efficiency. 🧌Self-improvement in AI models is a key area of research and development. 🧌Productivity tools like Napkin and Devon are changing how we approach tasks and projects. 🧌The future of AI may see a shift towards integrated solutions rather than point solutions. 🧌The rapid evolution of technology means that staying informed is essential for professionals.
Chapters
00:00 Welcome to Season Two
03:02 The 500 Billion Dollar Announcement
11:05 The Role of Government in AI Investments
13:18 The Future of AI and Data Centers
21:14 Understanding Tokens and Efficiency in AI
27:53 The Potential of Self-Improving AI Models
33:44 Emerging Tools and Productivity Hacks
40:54 The Future of Point Solutions in AI
Don’t Forget to Share & Subscribe! 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 Christmas special episode of the Gen AI podcast, the hosts reflect on the significant developments in AI over the past year, discussing trends, predictions, and the impact of AI agents and quantum computing on various industries. They explore the evolution of project controls and the future of work, emphasizing the need to embrace change and uncertainty as opportunities for growth.
Takeaways
🤶 2023 has been a year of clarity in AI. 🤶 The emergence of AI agents will redefine job roles. 🤶 Quantum computing presents both opportunities and challenges. 🤶 The demand for data centers is increasing rapidly. 🤶 AI will change the way project controls are executed. 🤶 Embracing uncertainty can lead to significant opportunities. 🤶 The future of work will involve more AI integration. 🤶 Companies are beginning to see AI as a cost-saving measure. 🤶 The evolution of technology will drive societal change. 🤶 The importance of adapting to new technologies is crucial.
Chapters
00:00 Christmas Special: Reflecting on the Journey
10:29 The Rise of Custom GPTs and AI Applications
21:30 The Intersection of AI and Robotics
28:15 Looking Ahead: The Future of AI and Society
34:15 The Shift in Project Controls
42:50 The Commoditization of Project Controls
48:56 The Mentality of Change and Opportunity
Don’t Forget to Share & Subscribe! 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
🎙️ Welcome to Episode 19 of the Gen AI Podcast!
Strap in, folks, because Dale and Greg are back from their whirlwind tour of global conferences, and they’re serving up insights hotter than your in-flight meal (assuming they didn’t run out of chicken). This week, we dive deep into the wild world of AI adoption in project management, the construction industry’s so-called productivity crisis, and, of course, a healthy dose of existential musing about human emotion and perception.
00:00 – Intro
Dale and Greg catch up after their globetrotting adventures and reflect on the joys and perils of business travel. (Spoiler: Being home for Christmas wins every time.)
05:10 – Automation vs. Generation
Greg breaks down AI for the everyday project professional: is it about automation or creation? Dale tries to simplify it with math, but Greg takes it a step deeper (cue existential dichotomy).
11:50 – Planes, Pilots, and AI Pals
Would you board a pilotless plane? Dale’s audience poll reveals trust issues with AI—even though it flies better than your average junior planner.
16:30 – Perception in Project Management
Whoever controls the narrative controls the room. Dale and Greg unpack why perception shapes project success more than hard data ever will.
24:00 – Misconceptions About the Construction Industry
Is construction really broken? Greg debunks two big myths:
33:00 – Selling Project Controls: Safety and Comfort
Greg explains how great project controls create emotional safety, comfort, and a dash of excitement for stakeholders. And no, it’s not about the size of your PMO team; it’s about the value of your insights.
40:20 – Addictive AI and Virtual Companions
Consumer AI is getting personal—sometimes a little too personal. Greg explores how addictive design might shape the next wave of AI interactions (including virtual "companions").
49:10 – The Year in Review
Dale and Greg reflect on their first year of podcasting, the experiment of zero guests, and their plans to close the year strong with Episode 20. Will they finally get all four hosts together? (Probably not.)
51:30 – Greg’s Closing Thoughts
A heartfelt thank-you to listeners for joining this pub chat with mics. Cheers to more debates, discussions, and maybe even some guests in the new year!
Listener Challenge
Think we’re wrong? Tell us! Dale and Greg love a good debate—especially if it involves whiskey and arguments about project controls.
Don’t Forget to Share & Subscribe!
We’re wrapping up the year soon with our 20th episode—help us go out with a bang (or at least more downloads than Greg’s frequent flyer miles).
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 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
Chapters
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
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