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
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