making the difference AI - Constructing Excellence George Mokhtar May 2019
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making the difference
AI - Constructing Excellence
George Mokhtar
May 2019
1
Turner & Townsend
Who am I in 60?
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George Mokhtar
Strategic Director of Digital Asset Advisory
@georgemokhtar
Remit
Direct and 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 / EngineeringConstructionAsset ManagersCost and commercialData scienceMilitary security
>300
Projects delivered
8
Global regions
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What am I talking about?
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Artificial Intelligence…
and the commoditisation of Natural Stupidity…
in construction!
Turner & Townsend
What am I talking about?
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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.”
Turner & Townsend
What am I interested in?
Tangible
Relatable
Commercially viable
Applicable
Accessible
Valuable
Scalable
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Turner & Townsend
Basics
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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
Turner & Townsend
1950In 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 worldchampion at chess
18thCDevelopment of statistical methods
1956 The Dartmouth Workshop gave birth to the term ‘artificial intelligence’ (John McCarthy)
1992 Playing backgammon
2016 AlphaGobeats the world champion at Go
A brief history
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2020201020001990198019701960195018thC
MACHINE LEARNING: THE POWER AND PROMISE OF COMPUTERS THAT LEARN BY EXAMPLE
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Are we in the race…
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McKinsey
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“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
Turner & Townsend
Yes people are scared… but don’t underestimate us.
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Turner & Townsend
Anyway… why am I on about it…
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Grand challenges
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Artificial Intelligence and
dataAging society Clean growth Future mobility
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Artificial Intelligence Sector Deal
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The government and the AI sector have agreed a Sector Deal to boost the UK’s global position as a leader in developing AI technologies.
Taking tangible actions to advance our AI Grand Challenge, this deal will ensure the UK is the go-to destination for AI innovation and investment.
https://www.gov.uk/government/publications/artificial-intelligence-sector-deal
Turner & Townsend
AI look ahead… what do the experts reckon
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225,00Jobs/month
45Av age construction worker
Few businesses currently have the capabilities or personnel, processes, and tools—to implement basic AI
Likely to have to wait for chance encounters and overlap
Turner & Townsend
Why am I on about it? – AI sector deal & global
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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
Turner & Townsend
I have questions…
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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?
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So what happens when construction gets more data
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FederateCommunicate
Act / DO Forecast and Insight
An
aly
seC
reate
Use Analytics
Gather Data
Physical Digital
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I have questions…
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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…
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Machine learning with Doxel
24CEAI
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Contilio
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making the difference
Act 2
Doing stuff!!!
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Leading edge digital asset lifecycle management
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Turner & Townsend AMCL
Turner & Townsend
Bleeding edge digital asset lifecycle management
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Turner & Townsend AMCL
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Tool box
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Data Preparation and Analysis toolsAutomatically extract and integrate data from disparate sources for analysis
Workflow Automation SoftwareAutomates 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 automationAutomate 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
CybersecurityDetermination of unusual cyber activity surrounding an activity or organisation
Risk DeterminationDetermination of risk determined by input factors, previous outcomes and specialist knowledge
Generative DesignTechnology method that mimics nature’s evolutionary approach to design. Starting with design goals, iterating through solutions to find optimal outcomes
Natural Language ProcessingAlgorithms that process natural speech or text input
Intelligent Business Process Management SystemsManage work allocation between humans and machines across multiple automation technologies
Image RecognitionAutomate capture of images and document information and process the information
Trend Analysis and PredictionAutomated trend analysis based on existing data and knowledge of current trends and knowledge
Gartner
Turner & Townsend
The backdrop for development
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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
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Need opportunity solution analysis
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Virtual AssistantComplex information,
simple interfaceNatural Language
Processing
ProcurementEfficiency and accuracy, objective appointments3D computer vision / Supervised learning
Safety MonitoringSafe workplace, enhanced
wellbeingImage recognition / Risk determination / Medical
diagnosis
Open data platformControlled, curated and
managed through AI Workflow automation / RPA / Risk determination / Cyber
security
Design justification and concept generation
Design type DNA (seed) generated with context dataData 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 analysisGenerative cost modelling, built on predictive market analytics
and legislation analysisData preparation &analysis tools / Predictions / Machine learning
Brief developmentImproved certainty and objective
decisions based on big dataData preparation & analysis tools
/ Machine learning / Risk automation
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Need opportunity solution analysis
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Digital Twin BuildingSanitise, aggregate and communicate
information as a public serviceRPA / 3D computer vision / Intelligent process automation / Natural language
Processing / Cyber security
Asset risk analysis and mitigationAnalysis and improvement of asset
maintenance and mitigation of failureMachine learning / Supervised learning /
Risk determination / Predictions
Intelligent assetsMore efficient management, maintenance and
use of assetsWorkflow automation / Image recognition /
Trend analysis and prediction / Natural language processing
Field based operationsAutomated logistics planning for assets,
parts, people and equipmentData 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 ActualSchedule generation, simulation,
optimisation and tracking Rule engines / Generative design /
Machine learning
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
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What are the three things you would target first?
Why?
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