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Martin Paver, CEO and founder of Projecting Success, discusses the importance of data-driven project delivery and the challenges in implementing it. He emphasises the need for collaboration and a collective effort to transform project delivery. Martin shares his career journey and the motivation behind founding Projecting Success. He highlights the limitations of traditional lessons learned data and the need for advanced data analytics. Martin also discusses the role of government and the private sector in driving the adoption of data-driven project delivery. He introduces the Project Data Analytics Coalition and its mission to create an open-source ecosystem for project professionals.

Takeaways

• Data-driven project delivery requires collaboration and a collective effort.
• Traditional lessons learned data is limited and needs to be enhanced with advanced data analytics.
• Government and the private sector play a crucial role in driving the adoption of data-driven project delivery.
• The Project Data Analytics Coalition aims to create an open-source ecosystem for project professionals.

Sound Bites

• "We can't do this alone, can we? It's a really, really big, ambitious, big, hairy goal that we're aiming for. It can't be done by one person or one company. It's got to be done by all of us pulling together."
• "People think it's a passing fad. It doesn't affect me. It affects the data team. I'm seeing a split in the industry as well. And especially within government, I'm seeing them becoming inward focused."
• "We live in this attitude of scarcity, that there's not enough to go around, therefore I've got to keep hold of my little pile. And I think that's the main thing hurting the adoption of some of these data-driven initiatives."

Chapters

• 00:00 Introduction of Martin Paver and Projecting Success
• 07:13 The Need for Collaboration in Data-Driven Project Delivery
• 13:08 Challenges in Implementing Data-Driven Project Delivery
• 23:47 Falling Short of the Mission and the Role of the Coalition
• 34:54 The Future of Data-Driven Project Delivery

Links

• Martin Paver Linked In - https://www.linkedin.com/in/martinpaver/
• Projecting Success - https://projectingsuccess.co.uk/
• Project Data Analytics Coalition - https://www.pdataskforce.com/about-1

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In this episode, James Garner and Martin Paver discuss the latest developments in AI in projects and productivity. They cover topics such as OpenAI's Search GPT, the challenges of AI investment, the skepticism surrounding AI companies, and the need for leadership and experimentation in adopting AI in the construction industry. They emphasise the importance of staying informed and continuously learning in order to keep up with the rapid pace of technological advancements.

Takeaways

• OpenAI's search GPT offers an AI-powered search engine that integrates traditional search with a chat interface, providing source citations and enriched with images and videos.
• The AI industry is experiencing a significant amount of investment, with companies like Microsoft, Meta, and Elon Musk's ventures leading the way.
• The skepticism surrounding AI companies stems from the lack of a clear roadmap for generating ROI and the high expenditures without immediate returns.
• The construction industry needs to embrace AI and invest in it to stay competitive, but leadership and experimentation are crucial for successful adoption.
• Continuous learning and staying informed about AI developments are essential for professionals in the project delivery space.

Chapters
00:00 Introduction and Discussion of OpenAI's Search GPT
09:37 The Challenges of AI Investment and Skepticism
14:27 Meta's Approach: Commoditising the Compliment
18:01 The Future of AI and Project Delivery
22:45 The Need for Leadership in Adopting AI in the Construction Industry
25:34 Continuous Learning and Staying Informed in the Project Delivery Space

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Summary
In this episode of the Weekly Pulse, James and Yoshi discuss the UK government's approach to AI regulation, the latest developments from OpenAI, and the potential impact of AI on industries like construction and data analysis. They highlight the importance of striking a balance between innovation and regulation, as well as the need for standards and frameworks in AI development. They also explore the challenges of automating processes and the potential consequences of adopting AI solutions without fully understanding their implications. The conversation touches on the growing trend of more affordable and efficient AI models, as well as the potential for AI to autonomously conduct research and provide insights.

Takeaways

• Striking a balance between innovation and regulation is crucial in the development of AI.
• Standards and frameworks are necessary to ensure the safe and ethical deployment of AI.
• Automating processes with AI can have consequences, and careful consideration should be given to the impact on jobs and workflows.
• The development of more affordable and efficient AI models is making AI more accessible to consumers.
• AI models like GPT-5 and Strawberry are pushing the boundaries of AI capabilities, including autonomous research and reasoning.

Sound Bites

"Striking a balance between innovation, but also developing safely and ethically is a balance which can be quite difficult to attain."
"There's companies going in and taking on these tech solutions without fully thinking through the consequences of their actions."
"More adoption of computer vision-based technologies within AI development."

Chapters

00:00 Introduction and Holiday Recap
06:11 UK Government's Approach to AI Regulation
17:10 AI in Construction: BuildDots and Automation
23:25 OpenAI's Latest Developments: GPT-5 and Strawberry
29:37 Microsoft's Spreadsheet Language Model
34:18 Closing Remarks

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Summary

• Dave Officer and James Garner discuss the use of AI in the creative process, specifically in the field of design and illustration. Dave shares his experience of incorporating AI tools, such as Adobe's Photoshop with Gen.ai functionality, into his work. He highlights the time-saving benefits of AI, such as automating tedious tasks like separating images from their backgrounds. However, Dave also emphasises the importance of maintaining the joy and uniqueness of the creative process, and not relying too heavily on AI.
• They discuss the concerns of professionals in various industries about AI potentially replacing their skills and expertise. Dave mentions his curiosity in experimenting with AI for generating initial ideas but acknowledges the need to preserve the special and personal touch in his work.
• The conversation explores the impact of AI on creativity and the creative process. The hosts discuss their experiences with using AI tools for idea generation and the potential dangers of relying too heavily on AI. They also touch on the ethical concerns surrounding the use of AI in the creative industry and the potential loss of human creativity.
• The conversation concludes with a discussion on the importance of retaining the joy and human element in the creative process.

Takeaways

• AI tools, such as Adobe's Photoshop with Gen.ai functionality, can save time by automating tedious tasks in the creative process.
• Maintaining the joy and uniqueness of the creative process is important, and professionals should be cautious about relying too heavily on AI.
• There are concerns among professionals in various industries about AI potentially replacing their skills and expertise.
• Experimenting with AI for generating initial ideas can be intriguing, but it's important to preserve the personal touch in creative work. Relying too heavily on AI for idea generation can lead to a decline in creativity and cognitive abilities.
• AI has the potential to make certain skills in creative industries redundant, shifting the focus to creative thinking and problem-solving.
• The use of AI in the creative industry raises ethical concerns, particularly regarding the use of data without consent and compensation.
• Retaining the joy and human element in the creative process is crucial, regardless of the advancements in AI technology.

Links

Dave Officer Linked In
Doodle Juice website
Dave Officer TikTok

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Summary

• In this episode of the Project Flux Weekly Pulse, James Garner and Dave Officer discuss the big stories in projects and productivity from the past week. They start by talking about OpenAI's Roadmap to AGI, which outlines the stages of artificial general intelligence development.
• They discuss the implications of AI reaching higher levels of intelligence and the potential job losses it may cause. They also explore the market consolidation taking place among big tech companies and how it may accelerate the adoption of AI. They touch on the challenges of public perception and the possibility of the AI bubble bursting.
• In this conversation, Dave and James discuss the recent developments in the AI industry, including the acquisition of companies by tech giants like Meta (formerly Facebook) and the potential risks associated with the race to AGI.
• They also touch on the lack of responsible governance and the need for ethical use of AI. The conversation concludes with a reflection on the positive and negative impacts of technology and the importance of staying informed.

Takeaways

• OpenAI's Roadmap to AGI outlines the stages of AI development, with the goal of achieving artificial general intelligence.
• As AI progresses to higher levels of intelligence, there may be significant job losses in various industries.
• Market consolidation among big tech companies, such as Amazon, Microsoft, and Google, may accelerate the adoption of AI.
• Public perception and resistance may slow down the pace of AI adoption.
• There is a possibility of the AI bubble bursting, similar to past tech trends like NFTs and the metaverse. Tech giants like Meta are acquiring companies to build powerful ecosystems in the AI industry.
• The race to AGI is driven by the potential for significant financial gains, but there may be pushback and challenges along the way.
• The lack of responsible governance in the AI industry is concerning, especially as tech companies become more powerful.
• It is important to find ethical ways to use AI and for governments and institutions to establish guardrails.
• Awareness and staying informed about AI developments are crucial for making informed decisions and ensuring the best outcomes.

Sound Bites

• "We're talking about Skynet territory here."
• "This roadmap is impressive, but I guarantee you it'll be vastly different."
• "We're fully embracing it to help us achieve more, be more efficient, enjoy more time."
• "They bought Instagram, they bought WhatsApp - They bought it and then they've created this ecosystem."
• "There is this AI arms race going on... because there's so much money in it and because they're starting to buy out all the competitors one by one."
• "It may take a bit longer than they plan and there may be some pushback against it, but... it's like when the iPhone first came out and people were like, why would I want a phone without any keyboard on it?"

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In this episode, Yoshi and James discuss the concept of AI winters and the current state of the AI industry. They explore the history of AI bubbles and the factors that led to their bursts. They also discuss the differences between the previous AI winters and the current AI revolution, highlighting the advancements in AI infrastructure and commercial viability.

The conversation then shifts to techniques for maximising the value of AI models, such as few-shot prompting and using the voice feature. They also touch on the upcoming voice feature in ChatGPT.

Finally, they discuss an event summary from the Major Projects Association on the landscape of AI. The conversation discusses the importance of getting data and skills right for effective AI implementation. It emphasises the need to start from where we are now and not be discouraged by past mistakes.

The conversation also explores how to communicate the opportunities of AI in a way that is accessible and encourages adoption. It highlights the role of showing people how easy it is to use AI tools and providing examples of how AI can improve tasks like email writing.

The conversation then delves into the investments being made by big tech companies in AI infrastructure and talent, raising concerns about the potential for a market crash. Finally, the conversation touches on the new Turing test for AI, which is now focused on tasks like gymnastics.

Takeaways

• AI winters are periods of disillusionment and reduced funding in the AI industry.
• The current AI revolution is different from previous AI bubbles due to advancements in AI infrastructure and commercial viability.
• Techniques like few-shot prompting and using the voice feature can maximize the value of AI models.
• The upcoming voice feature in ChatGPT will enable more conversational interactions.
• The Major Projects Association provides valuable insights into the landscape of AI. Data and skills are essential foundations for effective AI implementation.
• It's important to start from where we are now and not be discouraged by past mistakes.
• Communicating the opportunities of AI should be done in a way that is accessible and encourages adoption.
• Showing people how easy it is to use AI tools and providing examples of their benefits can help drive adoption.
• Big tech companies are investing heavily in AI infrastructure and talent, raising concerns about a potential market crash.
• The new Turing test for AI focuses on tasks like gymnastics.

Key Links:

All topics are from this week’s newsletter: https://projectflux.beehiiv.com/p/ais-first-winter-new-age-ai-different

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In this weeks episode of our new spotlight series we sat with Tom Haley - Director & Founder of Quantik, and RICS Accredited Quantum Expert Witness.

We spoke about:

1️⃣ Leveraging AI in large vs small businesses

2️⃣ The autonomy of quantity surveying start-up firms and the opportunity to make a difference.

3️⃣ AI’s impact on quantity surveyors and the focus on value-add

4️⃣ How to stay relevant in a modernising industry

5️⃣ How QS’s are slowly becoming project managers

Tom discusses his motivation for establishing his own firm, Quantik, after working in large corporations. He highlights the limitations of making a difference and changing the future of the profession within a large organisation. Tom believes that quantity surveying can be done differently, which motivated him to start his own firm. He also discusses the impact of AI on the industry and how it can transform the role of quantity surveyors. Tom emphasises the importance of understanding AI, data science principles, and data security as key skills for quantity surveyors in the future. He addresses concerns about job displacement and sees AI as an opportunity to improve efficiency and elevate the role of quantity surveyors.


Takeaways

• Working in large corporations provides valuable experience and opportunities, but there are limitations in making a significant impact and changing the future of the profession.
• Establishing one's own firm allows for the exploration of different ways of doing quantity surveying and the opportunity to make a difference.
• AI has the potential to transform the industry and reshape the role of quantity surveyors by improving efficiency and allowing them to focus on value-added tasks.
• To stay relevant in the industry, quantity surveyors will need to develop skills in understanding AI, data science principles, and data security.
• Job displacement is a constant concern with technological advancements, but AI presents opportunities for individuals to differentiate themselves and provide valuable expertise.
• The role of quantity surveyors is evolving, and they are becoming more involved in project management and providing advisory services.

Chapters

00:00 Career Trajectory and Motivation for Establishing Quantik
06:36 The Impact of AI on the Construction Industry
21:07 Skills for the Future: Understanding AI, Data Science, and Data Security
25:52 Addressing Concerns: Job Displacement and the Role of Quantity Surveyors

Guest Speaker Profile (Tom Haley):

Linkedin: https://www.linkedin.com/in/tom-haley-frics-fciarb/

Website: https://www.quantik.co.uk/

Keywords

career trajectory, large corporations, establishing own firm, limitations, making a difference, changing the future, quantity surveying, AI, industry transformation, role reshaping, skills, data science principles, data security, job displacement, opportunity, efficiency, elevate role

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In this weeks episode we dived into:

🔎 How AI models give you up-to-date information, learn how to make the most of this technique in your projects

🫧 How businesses use tools like ChatGPT to guide their journey into more advanced AI capability

📄 Insight into two excellent reports by the London Property Alliance and CIOB’s AI in Construction Playbook.

🧠 How powering AI with brain matter can potentially solve AI’s fast burning carbon footprint

🏅 Recency bias, stealth nerfing and just personal preference in finding the best Gen AI model

Timings:

03:15 The Power of Retrieval Augmented Generation (RAG)

05:06 The Role of Primary Cloud Platforms in AI Modernisation

09:23 Introducing Claude 3.5 Sonnet: A New Frontier in Language Models

15:22 Subjectivity and User Experience in Comparing AI Models

21:13 Exploring Wetware Computing and Brain Organoids

25:30 Ethical Implications of Using Human Brains in AI

31:26 AI-Generated Commercials and the Future Impact of AI

Key Links:

Our topics are based on this weeks’ newsletter and the links can be found in the newsletter.

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