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AI Just Made Project Management Easier — Here’s How You Can Benefit!

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Manage episode 439478361 series 3567994
Konten disediakan oleh Project Flux. Semua konten podcast termasuk episode, grafik, dan deskripsi podcast diunggah dan disediakan langsung oleh Project Flux atau mitra platform podcast mereka. Jika Anda yakin seseorang menggunakan karya berhak cipta Anda tanpa izin, Anda dapat mengikuti proses yang diuraikan di sini https://id.player.fm/legal.

Send us a text

In this weeks episode, were joined by Richard Bendall-Jones, Product Manager and Risk Engineer at nPlan. Together we discussed:

👷 How AI is evolving scheduling and risk in construction

👨‍🦰 The behavioural dynamics of humans in adopting AI-driven tools

⚠️ How to use AI in risk management to identify trends ad overcome human bias

🌾 How AI can level the playing field in getting started in project management

Guest Speaker Profile

Richard Bendall-Jones is a Product Manager and Risk Engineer with background in construction project and risk management. He is also a Fellow of the APM and IRM.

Linkedin: https://www.linkedin.com/in/richard-bendall-jones-181922b0/

nPlan: https://www.nplan.io/

Chapters

00:00 Introduction and Richard's Career Journey

02:41 The Rise of AI in the Construction Industry

07:07 The Importance of Data Quantity and Quality

09:04 Surprising Trends and Insights from Data Analysis

11:52 The Story of nPlan and Key Challenges

15:26 Expanding into Cost Prediction

17:53 Challenges in Designing AI Tools for Construction

23:21 Realising the Role of AI in Decision-Making

26:33 Complementing Human Expertise with AI

31:49 Making Project Management Accessible with AI

Keywords

AI, risk management, construction industry, decision-making, data, bias, noise, project management

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!

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Project Data Analytics Taskforce site

  continue reading

38 episode

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iconBagikan
 
Manage episode 439478361 series 3567994
Konten disediakan oleh Project Flux. Semua konten podcast termasuk episode, grafik, dan deskripsi podcast diunggah dan disediakan langsung oleh Project Flux atau mitra platform podcast mereka. Jika Anda yakin seseorang menggunakan karya berhak cipta Anda tanpa izin, Anda dapat mengikuti proses yang diuraikan di sini https://id.player.fm/legal.

Send us a text

In this weeks episode, were joined by Richard Bendall-Jones, Product Manager and Risk Engineer at nPlan. Together we discussed:

👷 How AI is evolving scheduling and risk in construction

👨‍🦰 The behavioural dynamics of humans in adopting AI-driven tools

⚠️ How to use AI in risk management to identify trends ad overcome human bias

🌾 How AI can level the playing field in getting started in project management

Guest Speaker Profile

Richard Bendall-Jones is a Product Manager and Risk Engineer with background in construction project and risk management. He is also a Fellow of the APM and IRM.

Linkedin: https://www.linkedin.com/in/richard-bendall-jones-181922b0/

nPlan: https://www.nplan.io/

Chapters

00:00 Introduction and Richard's Career Journey

02:41 The Rise of AI in the Construction Industry

07:07 The Importance of Data Quantity and Quality

09:04 Surprising Trends and Insights from Data Analysis

11:52 The Story of nPlan and Key Challenges

15:26 Expanding into Cost Prediction

17:53 Challenges in Designing AI Tools for Construction

23:21 Realising the Role of AI in Decision-Making

26:33 Complementing Human Expertise with AI

31:49 Making Project Management Accessible with AI

Keywords

AI, risk management, construction industry, decision-making, data, bias, noise, project management

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

38 episode

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