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In this episode of Project Flux, we delve into three standout advancements: Anthropic's Claude, Perplexity’s real-time election tracker, and OpenAI’s recent acquisition of chat.com. These updates illustrate AI’s expanding influence, with Claude streamlining complex tasks across industries, Perplexity setting new standards for live, AI-powered updates, and OpenAI enhancing brand visibility and accessibility through strategic acquisition.
We then engage in a thought-provoking conversation with Dev Amratia, the founder of nPlan, who shares his journey from project management in the oil and gas sector to AI leadership in construction. Together, we discuss the UK's role in the global AI ecosystem, the significance of investor relations, and how AI is reshaping project management. Dev highlights the challenges around data sharing in construction, emphasising cultural resistance to AI adoption, and underscores the importance of embracing digital transformation to stay competitive in an increasingly AI-driven industry.
Takeaways
Anthropic’s automated computer use AI can revolutionise rolesThe future of automation is rapidly evolving.Perplexity's election tracker offers real-time updates like no other AI powered toolOpenAI's new acquisition enhances its brand visibility and user accessibilityData partnerships are essential for output accuracy.AI is transforming content creation and editing.Dev's journey from project management to AI in construction with nPlanThe changing role of consultants in project deliveryCultural resistance to AI adoption in the industry.Concerns about the UK's competitive position in AI.The need for capital investment in technology.The significance of investor relations in startups.The impact of consolidation in the construction tech market.The role of ethics and assurance in AI development.The debate over data sharing versus data retention.Guest Speaker
Dev is a chartered engineer and the Co-Founder and CEO of nPlan, a machine learning company that analyses how past construction projects have performed to predict outcomes for future ones, introducing a transformative approach to managing risk and uncertainty.
With a background in delivering construction projects for the energy sector across three continents over nine years, Dev later joined the UK government to lead the national review on AI, published as part of the Industrial Strategy in 2017.
Timestamps
00:00 Introduction
22:47 The Role of AI in Project Management
25:21 UK's Position in the Global AI Landscape
28:03 Investor Relations and Attracting the Right Partners
30:33 The Future of Project Delivery
33:17 Data Sharing vs. Data Retention in Construction
36:05 Consolidation in the Construction Tech Market
38:48 Cultural Resistance to AI Adoption
41:12 The Inevitable Rise of AI in Project Management
57:48 Introduction and Sponsorship Highlights
58:11 Engagement and Community BuildingNplan Website
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In this episode of the Project Flux podcast, Sri discusses his journey as a founder of Rocketlane, a SaaS platform designed to improve client project delivery. He shares insights into the challenges faced by project managers, the importance of real-time data, and how AI can enhance project management processes. In this conversation we also discuss the much-anticipated ChatGPT Search feature, its integration challenges, and comparisons with competitors like Perplexity and Google. We also delve into insights from Sam Altman's Reddit AMA, Meta's open-source strategy, and the disappointing launch of Apple Intelligence, highlighting the varying approaches of tech giants in the AI landscape.
☕️ Weekly Tech Takeaways
- ChatGPT Search is finally here, but it's not without issues.
- This launch highlighted that ChatGPT's integration of AI features is still fragmented.
- Perplexity offers a more thorough search experience compared to ChatGPT.
- Meanwhile, Sam Altman emphasises the potential for AGI with current hardware.
- Despite OpenAI and big tech also competing heavily on compute power and efficiency.
- Meta is pushing an open-source strategy that could reshape government AI use.
- Open-source models are allowing for greater community collaboration and transparency.
- Meanwhile, Apple's AI launch has been disappointing compared to expectations.
- Different AI tools are being used for distinct use cases, each bringing its strengths to the table.☕️ Guest Takeaways
- Rocketlane is a professional services automation tool created to enhance client project delivery.
- AI can automate risk identification and support better decision-making.
- The future of project management will increasingly depend on AI capabilities.
- Real-time data is crucial for effective project management.
- Change management is essential for successful AI adoption.
- Project delays often accumulate gradually, requiring early intervention.
🎙️ Guest speaker
Srikrishnan Ganesan is the founder of Rocketlane, a purpose-built platform that streamlines customer onboarding and professional services automation (PSA) for businesses. By unifying project management, resource allocation, financial oversight, and customer collaboration, Rocketlane helps companies deliver projects on time and within budget, accelerating time-to-value and enhancing customer satisfaction. Rocketlane secured $18 million in Series A funding in January 2022, followed by a $24 million Series B round in June 2024. This financial backing reflects investor confidence in their innovative approach to customer onboarding and professional services. Sri previously built Konotor (now Freshchat), which was acquired by Freshworks (#16 on Forbes Cloud 100).
📚 Chapters
Introduction to Project Flux Podcast
ChatGPT Search: A Long-Awaited Feature
Fragmentation in AI Features
Comparing ChatGPT Search with Competitors
Sam Altman's Reddit AMA Insights
Meta's Open Source Strategy
Apple Intelligence: A Disappointing Launch
Challenges in Project ManagementThe Role of AI in Project Management
Navigating Change Management and Adoption
Future of Rocketlane
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In this episode of the Project Flux podcast, James Garner and Yoshi Soornack discuss: the upcoming project delivery hackathon at Rolls Royce, the significant impact of AI on society highlighted by recent Nobel Prize awards, and the evolution of AI technologies. They explore the collaboration between Boston Dynamics and Toyota in robotics, the role of nuclear energy in powering AI, and the latest innovations from Perplexity, including their new features and legal challenges in the AI landscape.
We highlight the significance of hackathons, with a special focus on Project Hack 23, in fostering innovation, the role of AI in enhancing project delivery, and the potential of nuclear energy to meet the growing demands of AI. The episode also reviews the week's biggest news in AI, and features quick interviews with key figures in the industry, including Sheldon Atkinson, Ant Newman, Andy Murray of the MPA, and Martin Paver, CEO of Projecting Success. Additionally, we explore the latest features from Perplexity and its competitive positioning in the AI landscape.
Takeaway⚡️ 𝙉𝙪𝙘𝙡𝙚𝙖𝙧 𝙚𝙣𝙚𝙧𝙜𝙮 is the key to powering AI's growth.
🧬 AI is critical for scientific progress, just see the 𝙉𝙤𝙗𝙚𝙡 𝙋𝙧𝙞𝙯𝙚 2024 winners
🧠 𝘼𝙨𝙨𝙤𝙘𝙞𝙖𝙩𝙞𝙫𝙚 𝙢𝙚𝙢𝙤𝙧𝙮 is crucial for advancements in AI.
🦾 We’re now seeing 𝙧𝙤𝙗𝙤𝙩 𝙘𝙤𝙡𝙡𝙖𝙗𝙤𝙧𝙖𝙩𝙞𝙤𝙣𝙨
🧑⚖️ A huge AI player is facing a 𝙣𝙚𝙬 𝙡𝙚𝙜𝙖𝙡 𝙙𝙞𝙨𝙥𝙪𝙩𝙚
🌱 AI's role in 𝙨𝙪𝙨𝙩𝙖𝙞𝙣𝙖𝙗𝙞𝙡𝙞𝙩𝙮 is becoming increasingly important.
👩💻 The PDA community hackathon at 𝙍𝙤𝙡𝙡𝙨 𝙍𝙤𝙮𝙘𝙚 showcases innovative AI solutions.00:00 Introduction to the Hackathon at Rolls Royce
03:11 Exploring Associative Memory and AI's Evolution
07:53 AI as a Core Component of Scientific Progress
10:32 Collaboration in Robotics: Boston Dynamics and Toyota
12:53 Nuclear Energy's Role in Powering AI
16:56 Perplexity's Innovations and Challenges in AI
26:10 Introduction to AI and Projecting Success
28:40 The Evolution of AI Accessibility
31:52 Project Hack 23: Collaboration and Future Directions
32:46 Introduction to Project Hack 23 and AI Buzz
33:39 The Growing Importance of AI in Project Management
35:57 Challenges in Data Sharing and Productivity
37:22 The Need for Standardisation in Project Frameworks
38:41 Data Collection and Insights in Project Delivery
43:58 The Evolution of Project Hack
46:40 Leveraging Technology for Solutions
Link to Project Hack 23
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In this episode of the Project Flux podcast, we discuss the latest advancements in AI and robotics, particularly focusing on Tesla's recent WeRobot event. We explore the implications of autonomous vehicles and humanoid robots in various industries, including construction. The conversation also delves into the limitations of current AI models, as highlighted by recent research from Apple, and the potential for integration and consolidation within the construction technology sector.
Construct AI is pushing boundaries in the construction industry.Tesla's WeRobot event showcased innovative robots and autonomous vehicles.Public perception of Tesla's innovations is mixed, focusing on both excitement and skepticism.The CyberCab and Robo van represent a shift towards autonomous transportation.Tesla's technology relies on computer vision, which has its own safety concerns.Elon Musk's vision includes creating an autonomous travel ecosystem.AI models, including LLMs, have limitations in reasoning and performance.Recent research indicates that LLMs may be memorizing rather than reasoning.The construction industry is seeing increased integration of technology solutions.The future of AI and robotics will require careful consideration of ethical implications.
The episode concludes with insights on new features from Construct AI and the importance of careful interaction with AI systems.
Takeaways
Chapters
00:00 Introduction and Weekly Pulse
02:27 Tesla's WeRobot Event and Public Perception
08:24 The Future of Autonomous Vehicles
12:05 Limitations of Large Language Models
19:39 AI's Role in Project Delivery and Industry Trends
27:16 Introduction and Sponsorship Highlights
27:38 Engagement and Community BuildingSubscribe to the Project Flux Newsletter!
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Summary
In this episode of Project Flux, host James Garner interviews Professor Sarah Davidson, a leading expert in Building Information Modeling (BIM) and information management. They discuss Sarah's journey in the field, the evolution of BIM, and the integration of AI in enhancing information management processes. The conversation explores the challenges faced in the adoption of BIM, the potential of AI to improve efficiency and decision-making, and the importance of clear information specifications. They also touch on the role of organizations like NEMA in supporting the industry and the future directions for BIM and AI integration.
Takeaways
AI has the potential to improve risk analysis and decision-making.
BIM is often misunderstood as solely a geometrical model.
The importance of clear specifications for information management.
AI should complement human intelligence, not replace it.
The next generation is more familiar with virtual environments.
Real-time APIs can enhance user experience in AI applications.
NEMA plays a crucial role in supporting information management in the built environment.
Adoption of AI requires understanding its outputs and implications.
Collaboration is key to successful BIM implementation.
The future of BIM involves integrating various data sources effectively.
Chapters
00:00 Introduction to Professor Sarah Davidson
24:15 The Journey into BIM and Information Management
26:54 Understanding BIM: Definitions and Misconceptions
29:56 The Role of AI in Enhancing BIM
32:33 Caution and Acceptance: AI in Academia
35:23 AI and BIM: A Complementary Relationship
38:21 Defining Information Needs for AI Integration
41:26 NEMA: The Evolution of the UK BIM Alliance
44:19 Critiques of BIM: The Need for Transformation
47:01 The Future of 3D Modeling and User Engagement
58:13 Unleash the Code Intro.wavSubscribe to the Project Flux Newsletter!
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“Super intelligence will be here in a few thousand days.”
These huge words from Sam Altman mixed with Zuckerberg’s impressive Connect 2024 showcase have once again brought the world of advanced tech to the fore.
In this weeks episode, we were joined by mixed reality enthusiast and management consultant specialist Ryan Clarke to focus in on:
🕶️ Meta’s reveal of Orion - the most advanced glasses in the world
📟 The future of mixed reality and its place in construction
🏙️ The fall of construction giant ISG and how to avoid a similar fate
🧠 How “massive prosperity” will be the next leap for AI
➖ Why ChatGPT’s OpenAI are a cause for concern
Timestamps
00:00 Digital Maturity in Industries
19:10 Drivers of Digital Change
22:04 The Buzzwords of Technology
25:02 Meta's Innovations and Announcements
28:01 The Future of Spatial Computing
30:46 Impact of AI on Project Delivery
33:47 Challenges in Construction Technology
36:27 The Role of Friction in Technology Adoption
39:26 The Future of Mixed Reality and Neural Interfaces
53:54 Balancing AI and Human Judgment
Takeaways
The construction industry is digitally immature compared to others.Digital change is often driven by the need to avoid pain rather than to gain pleasure.Buzzwords like AI and the metaverse can distract from meaningful innovation.Meta's recent announcements show a commitment to spatial computing.Spatial computing will likely change project delivery in construction.BIM technology is underutilised in its potential to prevent project risks.Friction in technology adoption can hinder progress and innovation.The future of technology should focus on seamless integration into daily life.Neural interfaces may become more accepted than augmented reality contact lenses.People are often the biggest challenge in technology implementation.Guest Speaker Profile:
Ryan is a forward-thinking BIM professional, blending expertise in XR technology with a deep understanding of data analytics to revolutionise the design and construction process. With a background in Management Consulting, he has driven transformative change across sectors such as Real Estate, CPG, Banking, Legal, and the Public Sector. His experience extends over 6 years, during which he has harnessed spatial computing to architect precise digital replicas of physical spaces, notably data centres and offices, enhancing planning, and execution in construction projects
Linkedin: https://www.linkedin.com/in/ryanclarke3
WebsiteL https://ryanclarke.dev/
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Does human connectivity impact workplace performance? and how does this dynamic respond to business coaching in the age of AI?
This week we’re joined by Philip Crocker, expert in business and performance coaching, to discuss:
🔺 How important human connection is in response to performance coaching
🕵️ Dark pattern choices by Linkedin AI in how it consumes your data
🌱 The evolution of OKR’s within the AI age and where it fits
🖇️ Human strengths and AI’s limitations in meta-cognition and meta-learning
📘 New features in free AI powered talk-to-your-documents tech by Google
Guest Speaker Profile:
Philip Crocker is dedicated to helping professionals build a thriving and successful work-life by focusing on what truly matters—achieving goals through effective collaboration.
As a specialist in Coaching and OKR Development, Philip - former coach at McKinsey, aims to help individuals, teams, and organisations clearly define their desired outcomes. He and his team then create a safe, deeply inclusive space where everyone can explore these goals together and co-learn along the way.
By understanding where you are now and where you want to go, they guide you in co-creating a personalised plan to achieve meaningful progress.
Philip’s Linkedin: https://www.linkedin.com/in/philipcrocker/
Website: https://philipcrocker.com/
Chapters
00:00 Introduction and the Weekly Pulse with Rithwik
22:54 The Evolution and Future of OKRs with Phil
26:23 AI's Role in Consulting and Coaching
30:04 The Human Element in OKRs
35:37 Navigating Leadership and AI
41:31 The Importance of Connection and Mentorship
47:05 Concluding Thoughts on AI and Human InteractionTakeaways
OKRs stand on the shoulders of good management practices.The success of OKRs relies on effective communication and connection.AI can augment but not replace human intuition and understanding.Confidentiality is crucial when integrating AI into organisational processes.The human element is essential in interpreting data and making decisions.Mentorship plays a vital role in guiding new professionals.Learning is a continuous process that extends beyond formal education.AI should be seen as a tool to enhance productivity, not a threat.Organisational culture significantly impacts the implementation of OKRs.Effective leadership requires awareness of one's ego and biases.Keywords
OKRs, AI, consulting, coaching, leadership, human connection, mentorship, productivity, organizational culture, performance measurement
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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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