Description

In this episode, the guest, James Garner, discusses the role of AI in project management and its future implications. He shares his origin story and how he got into the field of AI. The conversation covers the definition of AI in project management and the different levels of AI sophistication. The guest also talks about the pace of AI implementation and the factors that contribute to the fear and adoption of AI. The episode concludes with a discussion on the government's generative AI framework and the importance of making project data freely accessible. The conversation explores the changing landscape of construction, the benefits of AI in project functions, the evolution of associations with AI, governance and safeguarding AI, and various other topics related to AI and technology.Takeaways

• AI in project management is a broad term that encompasses various levels of AI sophistication, from simple automation to more advanced machine learning and neural networks.
• The future of project management with AI involves a gradual progression towards increased automation and predictability, allowing professionals to focus on value-added tasks.
• The pace of AI implementation in project management is expected to be gradual but exponential, with constant advancements and increasing adoption.
• The fear of AI in project management can stem from a lack of understanding, time constraints, and the rapid pace of technological change. Education and accessibility are key to overcoming these barriers.
• The government's generative AI framework and initiatives like data trusts are important steps towards making project data freely accessible and fostering collaboration in the industry. The construction industry is evolving with the adoption of AI, robotics, and 3D printing, leading to changes in site operations and improved safety.
• Consultancy services, such as engineering and architecture, can benefit from AI by streamlining workflows and providing innovative solutions.
• Associations like APM and RICS have a role in setting standards and guidelines for AI adoption in the construction industry.
• Governance and safeguarding of AI are crucial to protect data privacy and ensure responsible use of technology.
• Common misconceptions about AI include the belief that it is a recent development and the lack of understanding about its potential impact.
• Leadership is a combination of nature and nurture, with the potential for individuals to develop leadership skills through training and experience.
• Recommended book: 'The Singularity is Near' by Ray Kurzweil, which explores the future of AI and predicts the point at which machines surpass human intelligence.

James, an accomplished data leader in the construction industry, began his journey as a Quantity Surveyor in 2000. After earning a first-class honours degree, he wrote his university dissertation on data and digitalisation in the construction sector. James quickly built a strong portfolio, becoming a member of the Royal Institution of Chartered Surveyors (RICS) in 2002. In 2012, he was elected as a Fellow of RICS for his significant writing contributions to the RICS Black Book technical standards.

Throughout his career, James has worked on prestigious projects, including buildings for Imperial College and various Oxford University Colleges. Whilst employed at Gleeds as a Quantity Surveyor, he became head of the Education sector for London. In 2020, James took on a new challenge as Head of Insights and Analytics at Gleeds. This opportunity allowed him to further his skillset and qualify as a data analyst in 2022, launching the company's data analytics and research capabilities.

UK Gov paper - https://www.gov.uk/government/publications/generative-ai-framework-for-hmg/generative-ai-framework-for-hmg-html#understanding-generative-ai
James' newsletter - https://projectflux.beehiiv.com/subscribe

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