Waste to Wealth #COMIT2019
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The document discusses Turner & Townsend's focus on leveraging artificial intelligence in construction through data and analytics, emphasizing the need for industry adaptation and investment in technology. It highlights significant global investments in AI and poses critical questions about optimizing construction practices and understanding data. Additionally, it outlines various AI applications, tools, and strategies for improving operational efficiency and decision-making in the sector.
Waste to Wealth #COMIT2019
- 1. Turner & Townsend CEAI 1 Zheng Choo Associate Director, Data & Analytics From waste to wealth…
- 2. Turner & Townsend Who am I? CEAI 2 Zheng Choo Associate Director Data & Analytics Regional operational lead for Technology Remit Lead a professional services business Horizon scanning and disruption of the wider Turner & Townsend Upskill and develop our clients and supply chain 90 Technology team members Diverse skills Architect / Engineering Construction Asset Managers Cost and commercial Data science Military security >300 Projects delivered 8 Global regions
- 3. Turner & Townsend CEAI 3
- 4. Turner & Townsend CEAI 4
- 5. Turner & Townsend What am I talking about? CEAI 5 Artificial Intelligence… and the commoditisation of Natural Stupidity… in construction!
- 6. Turner & Townsend What am I talking about? CEAI 6 Artificial Intelligence… “the theory and development of computer systems able to perform tasks normally requiring human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages.”
- 7. Turner & Townsend What are we interested in? Tangible Relatable Commercially viable Applicable Accessible Valuable Scalable CEAI 7
- 8. Turner & Townsend Basics CEAI 8 AI Machine Learning Deep learning Any technique enabling computers to mimic human behaviour Subset of AI which uses statistical methods to enable machines to improve with experience Subset of ML which make neural networks that can look for trends and learn on their own
- 9. Turner & Townsend 1950 In 1950 Turing posed the question “can machines think?”, 1973 The Lighthill report and the AI winter, progress in the field was not as fast as had been expected. 1997 Deep Blue beats the reigning world champion at chess 18thC Development of statistical methods 1956 The Dartmouth Workshop gave birth to the term ‘artificial intelligence’ (John McCarthy) 1992 Playing backgammon 2016 AlphaGo beats the world champion at Go A brief history CEAI 9 2020201020001990198019701960195018thC MACHINE LEARNING: THE POWER AND PROMISE OF COMPUTERS THAT LEARN BY EXAMPLE
- 10. Turner & Townsend Are we in the race… CEAI 10 McKinsey
- 11. Turner & Townsend CEAI 11 “one of the most important things that humanity is working on. It’s more profound than, I don’t know, electricity or fire,” Sundar Pichai, CEO Google Self actualisation Psychological Physiological Fire Electricity AI? Habitat
- 12. Turner & Townsend Grand challenges CEAI 12 Artificial Intelligence and data Aging society Clean growth Future mobility
- 13. Turner & Townsend AI sector deal & global CEAI 13 China Investing $7Bn in AI development by 2030, including a $2Bn innovation park Targeting an AI industry of $150Bn United States Primarily developing with industry academic partners US AI chip industry is forecast to be $35Bn by 2021 UK Public-private partnership targeting £200m AI investment UK Gov funding 1,000 PhDs with Cambridge and Oxford leading Germany Already a hub for AI start-ups and developers, with a commitment from the government to compete with China AI campus being completed in Tubingen
- 14. Turner & Townsend I have questions… CEAI 14 Where should we spend that money in our sector? Is there a list of the most stupid and wasteful things we do? Is it enough of an embarrassment for us to start acting? Does AI have the potential to impact us, moving from emergent to mainstream, and do we have anywhere near enough data?
- 15. Turner & Townsend So what happens when construction gets more data CEAI 15 FederateCommunicate Act / DO Forecast and Insight Analyse Create Use Analytics Gather Data Physical Digital
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- 17. Turner & Townsend I have questions… CEAI 17 Do we really think we are clever enough to understand all the data by ourselves? Are we prepared for the same social backlash and ethical questions that others are facing (driverless cars, social media)? With great power… comes great responsibility…
- 18. Turner & Townsend CEAI 18
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- 22. Turner & Townsend Leading edge digital asset lifecycle management CEAI 22 Turner & Townsend AMCL
- 23. Turner & Townsend Bleeding edge digital asset lifecycle management CEAI 23 Turner & Townsend AMCL
- 24. Turner & Townsend Tool box CEAI 24 Data Preparation and Analysis tools Automatically extract and integrate data from disparate sources for analysis Workflow Automation Software Automates work stream delivery find efficiencies in workflows Rule Engines Define or identify the business riles that govern tasks or processes Software Macros Automate rule-based activities within a single application Robotic process automation Automate repetitive activities across multiple systems via software robots that replicate a users workflow Machine Learning Trained algorithms that make decisions as part of an automated process flow Intelligent process automation platform identify patterns and learn over time to optimize automated workflows Predictions Automation of predictions in data for workflows, data extrapolation and process Medical Diagnosis Trained algorithms that can make a diagnosis based on input medical data Cybersecurity Determination of unusual cyber activity surrounding an activity or organisation Risk Determination Determination of risk determined by input factors, previous outcomes and specialist knowledge Generative Design Technology method that mimics nature’s evolutionary approach to design. Starting with design goals, iterating through solutions to find optimal outcomes Natural Language Processing Algorithms that process natural speech or text input Intelligent Business Process Management Systems Manage work allocation between humans and machines across multiple automation technologies Image Recognition Automate capture of images and document information and process the information Trend Analysis and Prediction Automated trend analysis based on existing data and knowledge of current trends and knowledge Gartner
- 25. Turner & Townsend The backdrop for development CEAI 25 Augment To make or become greater in number, amount, strength, intelligence? Automate technique, method, or system of operating or controlling a process by highly automatic means, as by electronic devices, reducing human intervention to a minimum. Autosuggest To influence one's own thoughts or behaviour through methods other than conscious thought Turner & Townsend AMCL
- 26. Turner & TownsendTurner & Townsend Need opportunity solution analysis CEAI 26 Virtual Assistant Complex information, simple interface Natural Language Processing Procurement Efficiency and accuracy, objective appointments 3D computer vision / Supervised learning Safety Monitoring Safe workplace, enhanced wellbeing Image recognition / Risk determination / Medical diagnosis Open data platform Controlled, curated and managed through AI Workflow automation / RPA / Risk determination / Cyber security Design justification and concept generation Design type DNA (seed) generated with context data Data preparation & analysis tools / RPA / Generative Design Auto-generative design patterns Optimised design patterns and off-site manufacturing Generative design / Intelligent process automation Whole life cost analysis Generative cost modelling, built on predictive market analytics and legislation analysis Data preparation &analysis tools / Predictions / Machine learning Brief development Improved certainty and objective decisions based on big data Data preparation & analysis tools / Machine learning / Risk automation
- 27. Turner & TownsendTurner & Townsend Need opportunity solution analysis CEAI 27 Digital Twin Building Sanitise, aggregate and communicate information as a public service RPA / 3D computer vision / Intelligent process automation / Natural language Processing / Cyber security Asset risk analysis and mitigation Analysis and improvement of asset maintenance and mitigation of failure Machine learning / Supervised learning / Risk determination / Predictions Intelligent assets More efficient management, maintenance and use of assets Workflow automation / Image recognition / Trend analysis and prediction / Natural language processing Field based operations Automated logistics planning for assets, parts, people and equipment Data preparation & analysis tools / RPA / Predictions / Rule engines System analysis and intuitive dash boarding Real-time trending, moving from what happened to what will happen Predictions / RPA / Supervised and unsupervised learning Task vs Actual Schedule generation, simulation, optimisation and tracking Rule engines / Generative design / Machine learning
- 28. Turner & Townsend What should you do? 1. Listen… and don’t panic! 2. Work out where the low hanging fruit is for you, and just think about where to start. 3. Dedicate some investment into your digital initiatives NOW! 4. Look to other sectors/industries and recognise we can learn from them. 5. Start talent mining and promote growth mind-set to broaden capability 6. Have a plan for AI and make someone accountable 7. Come to terms with the idea of aiming for a moving target CEAI 28