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 Journey
• 02:13 The Jitteriness of the AI Market
• 04:33 The Lag in Upskilling and Adoption of AI
• 09:14 The Demise of Software as a Service (SaaS)
• 12:04 The Future of AI Delivery: Voice Commands
• 25:11 The Importance of Email and Desire for Efficient Interfaces
• 28:35 Redefining Software as a Service
• 33:22 The Future of User Interfaces
• 35:18 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