S8E17612 January 2024

S8E176: ChatGPT Plus for Projects with Lawrence Rowland

S8E176

S8E176: ChatGPT Plus for Projects with Lawrence Rowland

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Lawrence Rowland discusses the potential of ChatGPT and GPT in project management. He explains the differences between ChatGPT and GPT, highlighting the benefits of ChatGPT+ and the GPT Builder. Lawrence emphasises the importance of early adoption and experimentation with GPTs, as well as the need for entry-level tools to encourage wider adoption. He explores the role of GPTs in enhancing communication and information flow in project teams, and the potential for GPTs to disrupt and expedite various aspects of project management. Lawrence also discusses the upcoming ChatGPT Store and the possibilities of sharing and testing GPT use cases. He encourages project professionals to embrace the creativity and imagination enabled by GPTs and emphasises the importance of learning and exploring the capabilities of these models. The conversation explores the democratisation of projects and the changing role of project managers in the context of AI implementation. It discusses the flywheel effect of AI implementation and the potential impact on project success rates. The conversation also touches on ethics, education, alignment, and control issues related to AI. It highlights the importance of transparency and accuracy in AI projects and the need for ongoing discussions in society. The conversation concludes with a discussion on the future modes of AI interaction and their impact on the physical world.

Guest

Lawrence Rowland

Lawrence Rowland

Project Tech Advisory at Projecting Success (advisory role)

Lawrence helps companies to apply AI to practical project use cases and not get left behind. He works with Projecting Success on their innovation track. He has an engineering, projects, portfolio and consulting background, having worked at Motts, WSP, Bechtel, Booz Allen, CPC and Pcubed, working across Infrastructure, Transport, Government, Energy & manufacturing sectors. He's just an enthusiastic amateur when it comes to AI, teaching himself since 2017, which proves anyone can do it. He lives in the UK and walks hills and reads novels in his spare time. He posts a project AI prompt daily on LinkedIn.

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