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It needs considering now more than ever…so in this weeks podcast we sat with Mark Lockton, specialist in business adoption of digital, data and AI to discuss:
🍓 If people are falling behind advancements such Open AI's o1, the most advanced LLM to date
⬛️ The impact of AI’s blackbox thinking on businesses
💭 How perceptions of AI differ amongst smaller and bigger businesses
✔️ Effective way’s to influence different stakeholders to adopt digital transformationGuest Speaker Profile:
Mark Lockton is CEO of embracent, a niche consulting business that helps mid-sized companies across the world to embrace new and disruptive technologies. Embracing provide simple, clear, and cost-effective technology advice that delivers value and results for my clients, without the typical consulting waffle or jargon.
Mark has strong background in consulting, strategic leadership, and large scale change management, having worked with clients in various sectors and regions.
Linkedin: https://www.linkedin.com/in/marklockton/
Email: [email protected].
Company (Embracent): https://embracent.com/
Takeaways
Embracent focuses on helping mid-sized companies embrace technology.AI can democratize access to technology for smaller businesses.Many SMEs believe they need to spend a lot to adopt technology, which is often not the case.AI's impact is significant, allowing businesses to operate more efficiently.Understanding AI varies greatly between roles within a company.Security must be integrated into technology from the outset.Data quality is crucial for effective AI implementation.Businesses need to assess risks associated with AI adoption.AI should enhance human capabilities, not replace them.A solid data strategy is essential for leveraging AI effectively.Chapters
00:00 Introduction to Embracent and AI's Role
07:18 The Impact of AI on SMEs
12:15 Understanding AI: Perspectives from Different Roles
18:15 Navigating AI Adoption and Security Concerns
24:07 The Importance of Data Strategy in AI
30:09 Balancing AI and Human Judgment
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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
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Project Flux is proudly sponsored by ConstructAI. Check out their incredible AI solution built specifically for the construction industry
In this week’s episode we are joined by Cecilia Lindström, Research Director a Future Places Studio. In this jam-packed episode we discuss:1️⃣ The “AI and the Built Environment” report by the London Property Alliance. Watch to learn:
📚 A 𝗯𝗼𝗼𝗸-𝗲𝗻𝗱𝗶𝗻𝗴 𝗮𝗽𝗽𝗿𝗼𝗮𝗰𝗵 in how humans must set the problem and verify the outcomes of AI
🔝 Where we might see 𝗲𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆 𝗴𝗮𝗶𝗻𝘀 across various construction phases
👨🏫 How we should be 𝘂𝗽𝘀𝗸𝗶𝗹𝗹𝗶𝗻𝗴, where does the priority sit?
🌊 The need to revisit 𝗽𝗼𝗼𝗹𝗶𝗻𝗴 𝗱𝗮𝘁𝗮 to drive planning
🌎 The importance of 𝗰𝘂𝗹𝘁𝘂𝗿𝗮𝗹 𝘀𝗲𝗻𝘀𝗶𝘁𝗶𝘃𝗶𝘁𝘆
2️⃣ We also discuss the latest AI news including:
👉 The first agreement of its kind between big tech and US & UK AI Safety Institutes
👉 Why so many researchers are still yet to use ChatGPT
👉 How is ChatGPT’s promised search feature doing behind the scenes?
👉 How Amazon might save Alexa with Anthropic’s Claude powering their voice assistants
Chapters
00:00 Introduction and Background and the latest AI news
20:00 - Interview with Cecilia Longstrom
25:25 Surprises and Unknowns in AI
27:39 Concerns around Security and Sustainability
31:13 Regulation and Leadership in AI
33:33 Collaboration and Lessons Learned in the Public Sector
36:12 Key Recommendations of the Report
41:46 Upskilling and Preparing Professionals for an AI Future
44:40 Balancing Integration of AI Tools and Human Discernment
52:36 Final Thoughts and Recommendations
Guest Speaker Profile:Cecilia is a London-based researcher, nature conservationist and urban designer who specialises in people-centered, democratic approaches to revitalising urban and rural areas in need of transformation. She works collaboratively with clients, communities, and stakeholders to co-create placemaking initiatives that enhance both built and natural environments, address issues of inequality and segregation, and improve the overall lived experiences within these spaces.
She was key in developing the London Property Alliance Report: “AI and the Built Environment” (🔗 https://www.londonpropertyalliance.com/ai-and-the-built-environment-research-launch/)
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In this week’s episode we were joined by Antony Slumbers, a globally recognised speaker, advisor and writer on proptech and space-as-a-service.
The topics we discussed:
🏠 The integration of generative AI in the real estate sector
⌚️ How AI today is reminiscent of yesterday’s tech advancements
👔 What leaders should do to balance current demands and future needs
🔓 Startup opportunities
📉 The need for new business models in the AI age
Chapters
00:00 Introduction and Background
02:59 The Potential Impact of Generative AI
06:40 Exploring the Limits of Generative AI
09:48 Understanding and Engaging with AI
12:13 AI as an Automation vs. Augmentation Tool
15:11 Balancing Automation and Augmentation
18:02 AI's Impact on Jobs and Competitiveness
24:20 Envisioning the Future of the Industry
27:41 Addressing Productivity and Skilled Worker Shortages in Construction
29:38 The Role of Robotics and Humanoid Robots in Construction
32:41 The Need for a New Business Model in Construction
36:34 Balancing AI and Human Creativity in Real Estate and Construction
41:58 The Future of AI Regulation
48:26 The Potential for a Renaissance in Artisanal and Artistic Elements in Buildings
Guest Speaker Profile:
Anthony Slumbers is a globally recognised expert in proptech and space-as-a-service, known for his dynamic speaking, insightful advisory work, and influential writing. As a serial entrepreneur, Anthony has successfully founded and exited several proptech software companies. He now consults with leading real estate boards, helping them navigate transformation, technology, and innovation. His expertise is sought after by top organisations, including CBRE Global Investors, EPRA, and Fifth Wall Ventures. Anthony has delivered keynote speeches across the globe, from the UK and US to India, Israel, and beyond.Antony delivers an excellent course on Generative AI for Real Estate People. It explains how and why Generative AI is going to have an outsised impact on the real estate industry.
💥👉antonyslumbers.com/course - The next cohort starts 6th September 2024
Linkedin: https://www.linkedin.com/in/antonyslumbers/
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In this episode, hosts Yoshi and James discuss:
1️⃣ The next generation of AI and its advanced reasoning capabilities
2️⃣ AI tacking whole complex projects not just tasks
3️⃣ The importance of emotional intelligence, our weakness and strength as humans
Chapters
00:00 Introduction: The Next Generation of AI
05:25 Advanced Reasoning and Multi-Step Thinking
07:12 The Shift to AI Leadership and the Role of Emotional Intelligence
10:21 AI's Ability to Answer Questions Humans Struggle to Define
13:30 The Gradual Progression to Level Two Reasoning
16:58 The Paradigm Shift in Thinking and the Importance of Emotional Intelligence
19:14 The Potential Pushback Against AI and the Role of Humans
22:19 The Temporal Orientation of Humans and AI
25:37 The Potential of AI to Overcome the Lack of Emotional Intelligence
28:17 The Role of AI Personality Designers and Human-Centric Data
Keywords
next generation AI, advanced reasoning, complex tasks, multi-step reasoning, long-term strategising, emotional intelligence, AI independence, human decision-making, AI personality, human-centric data
Takeaways
The next generation of AI is characterised by advanced reasoning capabilities, including the ability to tackle complex tasks over extended periods and engage in multi-step reasoning and long-term strategising.Emotional intelligence is a key strength of humans and plays a crucial role in decision-making.However, AI can potentially help overcome the lack of emotional intelligence in some individuals.The balance between human and AI decision-making is important, with AI providing data-driven insights and humans providing emotional intelligence and subjective judgment.AI personality designers and human-centric data can contribute to the development of AI systems that exhibit emotional intelligence and better understand human needs and preferences.The ethical considerations of AI becoming more independent and the potential impact on decision-making in areas such as warfare and human rights need to be carefully addressed.Subscribe to the Project Flux Newsletter!
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In this week’s episode we interviewed Allister Lewis from ADDD, an automated data-driven design marketplace for construction technology. Together we covered:
🚗 Allister’s journey from architect to BIM specialist to founder
🍥 The impact of generative design in the built environment
🧑💻 Choosing the right AI software in a dense market
🔋 The power of interoperability and open-source solutions
Guest Speaker Profile
Allister Lewis is the founder of Automated Data Driven Design (www.addd.io) and a seasoned expert in Architecture, BIM management, and AEC Technology. With a mission to transform the construction industry, Allister leverages digital tools to optimise processes, enhance efficiency, and drive innovation. His extensive experience includes leading technology initiatives at KOPE AI and ACG Architects, as well as delivering nationally recognised BIM projects for Hampshire County Council. A passionate advocate for the digitisation of construction, Allister also lectures on BIM and technology at several universities and holds a Distinction in Building Information Modelling and Management from Middlesex University. Notably, he is an RICS Chartered BIM Manager and have contributed insights at major industry events like BIM Show Live.
Linkedin: https://www.linkedin.com/in/allister-lewis-72292221/
ADDD Marketplace: https://addd.io/
Keywords
Construction technology, AI, generative design, software selection, interoperability, open-source software, ADDD
Chapters
00:00 Introduction and Background of Alistair Lewis and ADDD
07:21 The Potential of AI and Generative Design in the Construction Industry
13:26 Challenges in Selecting the Right Software for Construction Professionals
18:40 The Importance of Interoperability and Open-Source Software in Construction
25:09 Simplifying Software Selection with ADDD: A Platform for Construction Technology Solutions
Takeaways
ADDD is an automated data-driven design marketplace for construction technologyAI has the potential to automate mundane tasks and improve productivity in the construction industryInteroperability and open-source software are important for enabling collaboration and innovationADDD aims to simplify the software selection process and provide a platform for users to find and test construction technology solutionsSubscribe to the Project Flux Newsletter!
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In this episode we discussed:
3️⃣ Moving to a 3-day work week with AI
🍓 Next gen AI and whats to come
🦾 Humanoid robots tested in BMW’s production line
💷 UKRI’s £32m investment into 98 AI startups
🙋♂️ What it’s like being forced to use AI
Keywords
AI, three-day workweek, Bill Gates, humanoid robots, OpenAI, Strawberry, UK government funding
Chapters
00:00 Introduction and Discussion of AI and Work-Life Balance
07:32 Advancements in Humanoid Robots and Their Impact on Manual Labor
19:32 Introducing Strawberry: OpenAI's Model with Human-Level Reasoning
27:20 The Future of AI: Overcoming Challenges and Unlocking Potential
Takeaways
AI could enable a three-day workweek, allowing for improved work-life balance and more personal timeHumanoid robots powered by AI are advancing and have the potential to revolutionise manual laborOpenAI's new model, Strawberry, demonstrates human-level reasoning and problem-solving capabilitiesThe UK government is funding AI projects to boost productivity and create high-skilled jobsThe future of AI holds great potential, but infrastructure and supply chain challenges need to be addressedSubscribe to the Project Flux Newsletter!
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This week, we sat down with Ali Mafi, founder of Timist, to discuss:
⏳ The importance of measuring and managing project time
🧐 How lean thinking informs project delivery and its challenges
✅ The importance of task prioritisation.
🤖 Whether humans would outperform robots using this approach
Guest Speaker Profile
Ali Mafi, founder of Timist, discusses the importance of measuring and managing project time. He shares his journey in construction management and lean thinking, highlighting the need for real-time data and prioritisation of tasks. Ali explains how Timeist can deliver projects ahead of schedule and the impact it can have on project efficiency and cost. He emphasises the need for daily monitoring of project progress and the identification of bottlenecks. Ali also discusses the challenges of implementing Timeist and the benefits of using AI and robotics in project management.
Linkedin: https://www.linkedin.com/in/ali-mafi-345821/
Company: https://timist.co.uk/ - Timist™ is a project delivery system designed to ensure projects are completed in the shortest time.
Takeaways
Measuring and managing project time is crucial for project success.Real-time data and prioritisation of tasks are essential for efficient project management.Timist can deliver projects ahead of schedule and improve project efficiency and cost.Daily monitoring of project progress and identification of bottlenecks are key to successful project management.Implementing Timist can be challenging, but the benefits are significant.AI and robotics have the potential to enhance project management and improve project outcomes.Chapters
00:00 Introduction and Background
07:02 The Concept of Time in Project Management
13:19 Using SatNav as an Analogy for Project Data Analytics
19:24 Overcoming Traditional Methodologies and Mindsets
25:18 Avoiding Traditional Benchmark and Project Estimates
29:06 The Role of AI and Robotics in Project Management
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In this episode of Project Flux Weekly Pulse, we discussed:
🇪🇺 The worlds first comprehensive AI law in the EU Act: Will it stifle innovation?
🏛️ The UK AI Plan and governmental approach to AI adoption: Undoing past progress?
💰 Universal basic income in the age of AI: Will we ever have to work again?
🗣️ The rollout of OpenAI's voice feature: Have you already got it?
👷 Current levels of digital tool adoption in the construction industry: higher adoption?
Key topicsEU Act, AI adoption, UK government, universal basic income, OpenAI, digital tool adoption, construction industry, accessibility, positive use cases
Takeaways
The EU Act, which has been enforced since August 1st, has practical impacts on the use of AI tools and may create a two-tier system in terms of innovation and freedom of use.The UK government's approach to AI adoption is still unclear, with mixed messages and changes in funding for AI infrastructure projects.The rollout of OpenAI's voice feature shows promise and has the potential to become an integral part of project teams, providing information and reports hands-free.The construction industry still has a long way to go in terms of digital tool adoption, with a significant number of companies still using basic tools like the Microsoft Power Suite.Education and awareness are crucial in driving AI adoption and moving away from traditional tools like Excel.Accessibility and positive use cases of AI, such as assisting individuals with disabilities or enabling productivity with limited physical capabilities, should be highlighted.Chapters
00:00 Introduction and Holiday Mode00:29 The Impact of the EU Act08:03 The UK Government's Approach to AI Adoption18:36 The Rollout of OpenAI's Voice Feature24:34 Digital Tool Adoption in the Construction Industry27:35 The Importance of Education and Awareness in AI AdoptionSubscribe to the Project Flux Newsletter!
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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.
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.
TakeawaysSound 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 Success07:13 The Need for Collaboration in Data-Driven Project Delivery13:08 Challenges in Implementing Data-Driven Project Delivery23:47 Falling Short of the Mission and the Role of the Coalition34:54 The Future of Data-Driven Project DeliveryLinks
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-1Subscribe to the Project Flux Newsletter!
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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.
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.
TakeawaysChapters
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 SpaceSubscribe to the Project Flux Newsletter!
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Summary
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.
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
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 RemarksSubscribe to the Project Flux Newsletter!
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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.
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.
Takeaways
Links
Dave Officer Linked In
Doodle Juice website
Dave Officer TikTokSubscribe to the Project Flux Newsletter!
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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.
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.
Takeaways
"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
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.
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
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 SurveyorsGuest 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 roleSubscribe to the Project Flux Newsletter!
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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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This week we explored the benefits of generative AI in construction with Construct AI Co-Founder Philip Clifford-Brown. Together we discussed:
➡️The inspiration, journey and challenges behind building a generative AI solution in construction➡️How construction professionals can benefit from the AI platform➡️The impact of big tech on AI start-upsGuest Speaker Profile: Phillip Clifford-Brown
With over 20 years of experience in information technology and software, Phillip is the Managing Director at Weston Analytics, a company that provides exceptional solutions for workforce management in the rail and construction markets. His mission is to help organisations optimise their human capital, reduce risks, and enhance performance.As a leader and entrepreneur, Phillip has a proven track record of delivering innovative and impactful projects across various sectors and domains, including enterprise software, e-commerce, CRM, BI, and SaaS. He has also founded and managed his own consulting firm, offering strategic and technical guidance to clients worldwide. Phillip holds an MSc in Computing for Commerce and Industry from the Open University.
Links
Linkedin: https://www.linkedin.com/in/pcliffordbrown/Construct AI: https://constructai.com/Subscribe to the Project Flux Newsletter!
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In our first episode of the Weekly Pulse, hosts James Garner and Yoshi Soornack discuss 👇
⭐️The mission to reach safe super intelligence: when AI becomes smarter than us
🗣️ The conflict between AI automation and augmentation and what this means for you
💸 The most valuable company in the world, its lead on AI, and its potential downfall
🍟 McDonalds failed AI: Bacon ice cream and nugget overload
Some of these sound crazy, and thats because they are. BUT the lessons are important within projects.
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In the this latest episode of the Project Flux Podcast we sat down with Nermeen Latif, Technical Director at WSP and fellow member of the Project Data Analytics Task Force to discuss AI’s big predictions and bold movements.
Topics discussed:
🍏 How Apple are pushing the frontier of cloud computing to unlock new AI capability
🤖 The AI candidate running for UK parliament, is it just a gimmick?
✝️ The Popes moral concern for AI, deeming it a “cognitive-industrial revolution”
🏪 The top 10 technologies that will evolve construction and project delivery
Speaker Profile: Nermeen LatifLinkedin: https://www.linkedin.com/in/nermeenlatif/
Nermeen Latif is a seasoned senior manager with over 20 years in project delivery. Her expertise spans assurance reviews, PMO establishment, and project controls delivery. Nermeen has conducted numerous assurance reviews on process maturity, schedule assurance, and programme gateway reviews. She has designed and set up PMOs tailored to clients’ organisational maturity and applied her project controls experience to ensure effective decisions.
Nermeen has also revamped governance, project management, and controls processes, and developed strategic plans and what-if models for board-level decision-making. Her key strength is communication, adept at influencing stakeholders and resolving conflicts to achieve project outcomes.
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