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The Industry That Hired All the Wrong People for the AI Age - Alan Mosca from nPlan

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Manage episode 473929609 series 3567994
Content provided by Project Flux. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Project Flux or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

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In this episode of the Project Flux podcast, hosts James and Yoshi welcomes Alan Mosca, CTO of Nplan, for an in-depth discussion on the current state and future of AI, particularly in project management and construction.

They explore the impatience surrounding AI adoption, the misconceptions about AI capabilities, and the importance of data literacy.

Alan shares insights on the evolving role of AI in consultancies, the significance of understanding shadow systems, and the potential impact of robotics on the industry. The conversation also touches on the scaling hypothesis in AI and the future of scheduling with AI technologies.
Takeaways

  • AI adoption is hindered by misconceptions and impatience.
  • Proper context is crucial for effective AI prompts.
  • AI should be treated as a colleague, not an all-knowing entity.
  • The majority of AI prompts lack necessary detail.
  • Gantt charts may become obsolete with AI advancements.
  • Humans will transition to supervisory roles in AI-driven environments.
  • Data literacy is becoming essential in organisations.
  • Shadow systems hold valuable insights that are often overlooked.
  • Reinforcement learning will enhance AI capabilities significantly.
  • The future of scheduling will be transformed by AI technologies.

Chapters
00:00 Introduction to the Podcast and Guest
02:17 The Impatience of AI Adoption
03:32 Challenges in AI Understanding and Usage
06:31 Hallucinations in AI: A Double-Edged Sword
10:45 The Standards of AI vs. Human Performance
12:12 Resistance to AI Adoption in Industries
12:52 The Rise of Self-Proclaimed AI Experts
15:33 Defining an AI Company
17:28 The Future of AI-Powered Consultancies
19:02 The Role of Large Institutions in an AI World
22:21 The Noise of One-Person Companies
24:05 The Homogenization of AI Content
25:50 The Importance of Differentiation in AI Tools
27:35 Accelerating Iteration Cycles with AI Tools
30:12 The Role of AI in Development Operations
31:26 The Push for AI Adoption in Education
34:33 Understanding Shadow Systems in Project Management
39:25 The Future of Data and AI Integration
44:53 Exploring Operator Models and Their Impact
49:09 Scaling Hypothesis and the Future of Intelligence
53:39 The Role of Humanoid Robots in Project Delivery
Links and Stuff

Alans Linked In - Follow for memes!

Sign up for NPlan's Schedule Studio Beta Here

Everyday AI: Your daily guide to grown with Generative AI
Can't keep up with AI? We've got you. Everyday AI helps you keep up and get ahead.
Listen on: Apple Podcasts Spotify

Subscribe to the Project Flux Newsletter!

All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter!

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Project Data Analytics Taskforce site

  continue reading

Chapters

1. The Industry That Hired All the Wrong People for the AI Age - Alan Mosca from nPlan (00:00:00)

2. [Ad] Everyday AI: Your daily guide to grown with Generative AI (00:21:45)

3. (Cont.) The Industry That Hired All the Wrong People for the AI Age - Alan Mosca from nPlan (00:22:32)

74 episodes

Artwork
iconShare
 
Manage episode 473929609 series 3567994
Content provided by Project Flux. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Project Flux or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

Send us a text

In this episode of the Project Flux podcast, hosts James and Yoshi welcomes Alan Mosca, CTO of Nplan, for an in-depth discussion on the current state and future of AI, particularly in project management and construction.

They explore the impatience surrounding AI adoption, the misconceptions about AI capabilities, and the importance of data literacy.

Alan shares insights on the evolving role of AI in consultancies, the significance of understanding shadow systems, and the potential impact of robotics on the industry. The conversation also touches on the scaling hypothesis in AI and the future of scheduling with AI technologies.
Takeaways

  • AI adoption is hindered by misconceptions and impatience.
  • Proper context is crucial for effective AI prompts.
  • AI should be treated as a colleague, not an all-knowing entity.
  • The majority of AI prompts lack necessary detail.
  • Gantt charts may become obsolete with AI advancements.
  • Humans will transition to supervisory roles in AI-driven environments.
  • Data literacy is becoming essential in organisations.
  • Shadow systems hold valuable insights that are often overlooked.
  • Reinforcement learning will enhance AI capabilities significantly.
  • The future of scheduling will be transformed by AI technologies.

Chapters
00:00 Introduction to the Podcast and Guest
02:17 The Impatience of AI Adoption
03:32 Challenges in AI Understanding and Usage
06:31 Hallucinations in AI: A Double-Edged Sword
10:45 The Standards of AI vs. Human Performance
12:12 Resistance to AI Adoption in Industries
12:52 The Rise of Self-Proclaimed AI Experts
15:33 Defining an AI Company
17:28 The Future of AI-Powered Consultancies
19:02 The Role of Large Institutions in an AI World
22:21 The Noise of One-Person Companies
24:05 The Homogenization of AI Content
25:50 The Importance of Differentiation in AI Tools
27:35 Accelerating Iteration Cycles with AI Tools
30:12 The Role of AI in Development Operations
31:26 The Push for AI Adoption in Education
34:33 Understanding Shadow Systems in Project Management
39:25 The Future of Data and AI Integration
44:53 Exploring Operator Models and Their Impact
49:09 Scaling Hypothesis and the Future of Intelligence
53:39 The Role of Humanoid Robots in Project Delivery
Links and Stuff

Alans Linked In - Follow for memes!

Sign up for NPlan's Schedule Studio Beta Here

Everyday AI: Your daily guide to grown with Generative AI
Can't keep up with AI? We've got you. Everyday AI helps you keep up and get ahead.
Listen on: Apple Podcasts Spotify

Subscribe to the Project Flux Newsletter!

All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter!

Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!

Sign Up to Newsletter
Project Data Analytics Taskforce site

  continue reading

Chapters

1. The Industry That Hired All the Wrong People for the AI Age - Alan Mosca from nPlan (00:00:00)

2. [Ad] Everyday AI: Your daily guide to grown with Generative AI (00:21:45)

3. (Cont.) The Industry That Hired All the Wrong People for the AI Age - Alan Mosca from nPlan (00:22:32)

74 episodes

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