Exploring the use of I.T. Solutions, Big Data Solutions for Building, Engineering and Construction Projects, Part I: Case Studies A webinar

Exploring the use of I.T. Solutions, Big Data Solutions
for Building, Engineering and Constructions Projects,
Part I: Case Studies
21 April 2023 | 18:30 HKT/ 10:30 BST
Speaker: Dr. Wilson Lam

Our mission is to:
• Establish project management as the recognized profession for managing change
across business.
• Provide career development for the profession, based on good practice across all
sectors and types of projects.
To find out more about our branch, or get involved with further activities, you can contact us
directly via email : apmhkjim@gmail.com

Exploring the use of I.T. Solutions and Big Data Solutions for Project Managers
in Building, Engineering and Construction Projects – Part I: Case Studies
Contents –
1.Business & Technologies
2.Compare Building, Engineering & Construction Projects – IT and Big Data Projects
3.Would IT solutions and Big Data solutions be useful to the Building, Engineering or Construction Projects?
4.ChatGPT etc. and Artificial Intelligence
5.Case Study A – Pro Tech and Con Tech
6.Discussions, Q&A

Image goes here
(image to fill entire white
space)
Dr. Wilson Lam (Architect, Authorized Person (Architect) & MAPM)
Honorary Doctorate in Law, FIPostdocA, B.A.(A.S.), B.Arch (Dist.), MBA (1st Hon.)
MSc Const Management & Econ, MSc. Finance (Dist), MSc. Marketing (Dist),
LLM (Arbitration & DR), DBA, Post-Doctorate Fellow (California State University)
Visiting Scholar – California State University, Stanford University & University of California, U.C. Berkeley
Adjunct Professor (Alternative Dispute Resolution) – SABI University
Guest Professor & Academy of Experts – Yuenpei Business School, Peking University (2020 – 2023)
HKIA, RIBA, MAPM, MCIArb, FHKIArb, FIDRRMI, FAIADR, Project Management Professional, Prince 2,
APMG-Agile Practitioner, BEAM Professional (NB, EB & Int), CIC BIM Manager, HKIA BIM Professional,
Certified SAFe 6 Agilist, Certified SAFe 6 Scrum Master, Certified Scrum Master,
PECB ISO 31000 Risk Manager, PECB ISO 27001 Lead Auditor, ITIL Expert, ITIL Strategic Leader,
ITIL Managing Professional, Certified Blockchain Architect, Certified Big Data Scientist & Consultant,
Arbitrator, Adjudicator, Accredited Mediator and Expert Witness.

Section 1 – Business and Technologies
a. Top 10 Companies by Market Cap in 2010
& 2020
b. Old Economy and New Economy
c. Technologies – Business Needs, Business
Values and Business Growth

Section 1 –
Business &
Technologies
a. Top 10 companies by
market cap in 2010 & 2020
 Top 10 Companies by Market Cap – 2010 & 2020
 By end-2020, Top-10 global companies by market
capitalization includes 8 nos. of global companies related to
I.T. or tech businesses.)
 Source @https://companiesmarketcap.com and
https://fxssi.com/top-10-most-valuable-companies-in-the-
world)

Section 1 –
Business &
Technologies
a. Top 10 companies by
market cap in 2010 & 2020
 Top 10 Companies by Market Cap – 2023
 Source @https://fxssi.com/top-10-most-valuable-companies-in-the-world
 No. 1 – Apple Inc.
 [Industry – electronics & I.T.]
 No. 2 – Microsoft.
 [Industry – software development.]
 No. 3 – Saudi Aramco
 [Industry – Oil and gas production, refining.]
 No. 4 – Alphabet Inco.
 [Industry – Internet.]
 No. 5 – Amazon Inc.
 [Industry – Retail businesses, E-Commerce.]
 No. 6 – Tesla, Inc.
 [Industry – Automotive and Solar Energy.]
 No. 7 – Berkshire Hathaway Inc.
 [Industry – Insurance, Finance, Railway Transport, Utilities, Food and non-food products.]
 No. 8 – Johnson & Johnson.
 [Industry – Pharmaceuticals.]
 No. 9 – Meta Platform Inc. (Facebook)
 [Industry – Internet.]
 No. 10 – Visa Inc.
 [Industry – Financial Services.]

Section 1 – Business and
Technologies
 Old Economy vs New Economy
 Amazon – Representing “New Economy” with growth of E-
Commerce at 39% in 2020.
 Walmart – Representing “Old Economy” with growth of E-
Commerce at 79% in 2020.
 Think out of the Box! – Technologies can transform Business.
New Business strategies can drive new Technologies.
 Think out of the Box! – Is the Construction Sector an Old
Economy or New Economy in 2020s? What are the Business
& Technologies integration that drives our future?
 Source and adapted from @www.eMarketer.com and
https://fortune.com/2021/03/29/amazon-walmart-online-
shopping-ecommerce/
 Source and adapted from @
https://www.indigo9digital.com/blog/4-secrets-to-walmarts-
ecommerce-suces

Section 1 –
Business &
Technologies
c. Technologies –
Business Needs, Values
and Business Growth
 Business & Technologies
 Business Needs + Business Plan + Business Case + Return on
Investment etc.
 Unique common focuses for use of Information Technology or Big Data
Solutions etc.
 Member, Association of Project Management.
 Chartered Project Manager, Association of Project Management.
 Project Management Professional.
 PRINCE 2 Practitioner.
 Certified APMG Agile – Practitioner.
 Certified Scrum Master & COBIT.
 Information Technology Infrastructure Library (ITIL) Expert.
 Information Technology Infrastructure Library (ITIL) MP.
 Certified Big Data Professional, Certified Big Data Scientist, Certified Big
Data Consultant.
 Certified Blockchain Architect.
 Scaled Agile Framework (SAFe) Certified Scrum Master.
 Scaled Agile Framework (SAFe) Agilist.
 Cloud Solution Architect.
 Cloud Solution Engineer.
 Database & Infrastructure System Engineer.
 Construction Industry Council Certified BIM Manager.

Part 1 – Business and Technologies
B u s i n e s s N e e d s , B u s i n e s s C a s e , B u s i n e s s P l a n s a n d R e t u r n o n I n v e s t m e n t ( R O I )
Business Needs
What are the
Problems?
What are the
Business Needs or
Opportunities?
Business Case
Does the Corporation
Senior Management have
a Business Case?
Would the PM/CM
develop the Business
Case?
Business Plans
Role of PM / CM in the
Business Plans?
Role of Business Analyst
in Business Plans?
Role of Senior
Management?
Return on Investment
What is the target ROI?
What is the IT solution
or Big Data Solution to
achieve the ROI?
If no IT/Big Data
Solution, what is the
ROI?
1
2
3
4

Section 1 –
Business &
Technologies
c. Technologies – Business
Needs, Business Values and
Business Growth
B u s i n e s s N e e d s , B u s i n e s s C a s e , B u s i n e s s
P l a n s a n d R e t u r n o n I n v e s t m e n t ( R O I ) –
[ R e f : A P M B o d y o f K n o w l e d g e ( 7 t h E d i t i o n ) ]

Section 1 –
Business
Technologies
Needs, Values and Business
Growth
P l a n s a n d R e t u r n o n I n v e s t m e n t ( R O I ) –
[ R e f : A P M B o d y o f K n o w l e d g e ( 7 t h E d i t i o n ) ]

Section 1 –
Business &
Technologies
Needs, Business Values and
Business Growth
P l a n s & R e t u r n o n I n v e s t m e n t ( R O I ) –
[ R e f : E x a m p l e o f D o w n l o a d o f B u s i n e s s M o d e l
C a n v a s T e m p l a t e – E n g l i s h o r C h i n e s e
h t t p s : / / w w w . b u s i n e s s m o d e l s i n c . c o m / e n / i n s p i r
a t i o n / t o o l s / b u s i n e s s - m o d e l - c a n v a s ]

H y p o t h e t i c a l B u s i n e s s C a s e o r B u s i n e s s P l a n s
f o r C o n s t r u c t i o n S e c t o r
KEY PARTNERS
Manufacturers
Suppliers
Sub-Contractors
Consultant Team
Project Team
KEY ACTIVITIES
Manufacturing building material &
equipment.
Design & Development.
Building & Construction.
VALUE PROPOSITIONS
Premium product sales
Sustainable after-sales services
Side-products to be served
Intangible assets (e.g. patent of MIC)
CUSTOMER
RELATIONSHIPS
Sales & service centers
Remote upgrades products &
services
CUSTOMER SEGMENTS
Environmentalists & Technology fans
Government.
Private Developers
Retail customers (e.g. spared parts of
building materials).
KEY RESOURCES
Network & Production Lines
Key Performance Data
CHANNELS
Direct sales
Online sales or products.
COST STRUCTURE
Manufacturing and assembly plants
R&D
REVENUE STREAMS
Sales of products
Servicing
Interim payments / Outstanding payments / Final payments / Claims.

Section 2 – Compare Building, Engineering and
Construction Projects with I.T. Projects and Big
Data Projects
a. Stakeholders of Construction Projects
b. Stakeholders of Information Technology (I.T.) &
Big Data Projects
c. Workflow of Construction Projects
d. Workflow of I.T. and Big Data Projects

Section 2 – Compare
Building, Engineering
& Construction
Projects with I.T. and
Big Data Projects
a. Stakeholders of Construction
Projects
 Stakeholders of Construction Projects
 Employer (including its Representative and internal Departments,
e.g. Marketing Dept).
 End-User Group (including Customers, End-users, Sales
Department, Facilities Management Department etc.)
 Design Team – Design Team Leader/ Architect/ Engineer/
Surveyor/ Landscape Architect/ Specialist etc.
 Project Team – Project Team Leader/Project Manager/Construction
Manager/Architect/ Engineer/Surveyor/Landscape
Architect/Specialist etc.
 Main Contractor
 Sub-Contractors – Domestic Sub-Contractors and Nominated Sub-
Contractors
 Suppliers – Domestic Suppliers and Nominated Suppliers
 Other Direct Contractor (e.g. Lift Contractor, Fitting-Out
Contractor).
 Government – e.g. BD, LandsD, HyD, TD, Police, CEDD, HD,
ArchSD, DEVB etc.

& Construction
Big Data Projects
a. Stakeholders of Construction
Projects
 Stakeholders of Information Technology Projects
 Note: There are many ways to identify stakeholders for IT Projects (e.g. by way of
MAPM, FAMP, PMP, Agile, Scrum, PRINCE 2, DevOps or CBAP, SAFe
Professionals etc.)
 Note: Free RACI templates downloads for Stakeholders Analysis -
https://templatelab.com/raci-chart/ or
 Note: Free RACI template downloads for ITIL Projects
 https://www.itil-docs.com/blogs/change-management/raci-matrix-template
 Executive Sponsor (vs. Employer)
 Business Analyst (vs. Client Business Section)
 Project Manager (vs Project Manager)
 Developer (vs. Main Contractor)
 Tester (vs. Independent Lab)
 Trainer (vs. Specialist)
 Application Architect (vs. Architect / DTL)
 Data Modeler (vs. Engineer/Specialist/BIM)
 Database Analyst (vs. Surveyor)
 Business Architect / Engineer (vs. Architect/Engineer)
 Information Architect / Engineer
 Solution Owner (vs. Main Contractor/Sub-Contractor)
 Subject Matter Experts (SME) – can be many.
 Other Stakeholders.

& Construction
Big Data Projects
b. Stakeholders of I.T. and Big Data
projects
 Stakeholders of Big Data Projects
 Note: There are many ways to identify stakeholders for IT
Projects (e.g. by way of PMP, Agile, Scrum, PRINCE 2,
MAPM, DevOps or CBAP etc.) For simplicity, I use and
make references to CBAP and IIBA as illustrations.
 Source @PMBOK (6th edition) and APM Body of Knowledge
(7th Edition)

& Construction
Big Data Projects
c. Workflow of Construction Projects
 Work Flows of Construction Projects
 Example – Royal Institute of British Architects (RIBA) Work Stages Plan
(2020)
 Example – HKIA Standard Form of Client & Architect Consultancy
Agreement
 Example – AACSB / EACSB Standard Forms of Consultancy Agreements by
DEVB.
 Example – Standard Form of Building Contracts for HKSAR Government.
 Example – Standard Form of Design & Build Contracts for HKSAR
Government,
 Example – Standard Form of Term Contracts for Maintenance & Repair
Works.
 Example – New Engineering Contracts (NEC)
 Work Flows for Information Technology and Big Data Projects
 Example - Waterfall Developments – Project Management & Project
Procurement
 Example - Agile Developments – Agile Project Management & Agile Project
Procurement.
 Example - Scrum
 Example - DevOps
 Example - Hybrid.
 Example - Lean etc.
 Example – Scaled Agile Framework (SAFe)
 Example – CBAP / BABOK

& Construction
Big Data Projects
c. Workflow of Construction Projects.
W o r k f l o w s o r W o r k S t a g e s f o r C o n s t r u c t i o n
P r o j e c t s b a s e d u p o n R o y a l I n s t i t u t e o f
B r i t i s h A r c h i t e c t s ( R I B A )

& Construction
Big Data Projects
c. Workflow of Construction Projects.
W o r k f l o w s o r W o r k S t a g e s f o r C o n s t r u c t i o n
P r o j e c t s b a s e d u p o n A P M B o d y o f K n o w l e d g e
( 7 t h E d i t i o n )

& Construction
Big Data Projects
d. Workflow of I.T. and Big Data
Projects.
W o r k f l o w s o r W o r k S t a g e s f o r I . T . o r B i g
D a t a P r o j e c t s u n d e r A P M B o d y o f K n o w l e d g e
( 7 t h E d i t i o n )

Section 2 –
Compare Building,
Engineering &
Construction
Projects with I.T.
and Big Data
Projects
Typical Project Workflows or Project Stage Plans for
Information Technology or Big Data Projects

& Construction
Big Data Projects
projects.
Typical Project Workflows or Project Stage Plans for
Information Technology or Big Data Projects

& Construction
Big Data Projects
projects.
Scaled Agile Framework (SAFe)

& Construction
Big Data Projects
projects
Scaled Agile Framework (SAFe)

Section 3 – Would I.T. solutions, Big Data solutions
be useful to Building, Engineering and
Construction Projects?
a. I.T. solutions and Big Data solutions.
b. Big Data development.
c. Individual Building, Engineering & Construction
Projects
d. SWOT analysis, GAP analysis, Porter analysis.
e. Potential Benefits, Business case and use of IT
solutions and Big Data solutions.

What is Information Technology?
Source @https://https://www.youtube.com/watch?v=Z0A7OMkYQf8
Section 3 – Would I.T.
solutions and Big
Data solutions be
useful to Building,
Engineering &
I.T. solutions and Big Data solutions
 What is Information Technology?
 Information Technology Infrastructure Library (ITIL)
 I.T. development
 I.T. maintenance
 I.T. delivery and design
 I.T. deployment and transition
 I.T. hardware
 I.T. software
 I.T. networks
 Processing and distribution of data
 Data Storage and Data Transmission
 Computer hardware design
 Computer software design
 Database
 Servers
 Data Security and Network Security
 Helpdesk support
 Mobile applications, APIs adaptations
 And other IT, networks, data and computer issues.

solutions and Big
Data solutions be
useful to Building,
Engineering &
a. I.T. & Big Data solutions

solutions and Big
Data solutions be
useful to Building,
Engineering &
 Big Data uses & successful stories
 Google & internet search – examples and success stories
 YouTube and Social Media Network search – examples and success stories
 Your personal, project or company’s needs or objectives
 Think - Products
 Think - Trends
 Think - Industry requirements [Note: Industry and Sector specific!]
 Think - Customers
 Think - Sales
 Think - Costs
 Think - Marketing and Promotion
 Think - Profits
 Think – Customers Relationship Management
 Success Stories – E.g. Banking & Securities Sector
 Success Stories – E.g. Communication, Media & Entertainment Sector
 Success Stories – E.g. Health Care Sector
 Success Stories – E.g. Education Sector
 Success Stories – E.g. Manufacture & Production Sector
 Success Stories – E.g. Retail & Wholesale Sector.
 Success Stories – E.g. Building, Engineering & Construction Sector.

solutions and Big
Data solutions be
useful to Building,
Engineering &
 Big Data uses & successful stories
 Google & internet search – examples and success stories
 YouTube and Social Media Network search – examples and success stories
 Your personal, project or company’s needs or objectives
 Amazon
 Alibaba
 Coca Cola
 Pepsi
 Netflix
 Disney / Disney Plus
 UOB / DBS / HSBC
 Walmart
 Watsons / Parkin Shop / Fortress.
 Gammon Construction Co.
 China State Construction Co.
 Facebook & Instagram
 Tencent & WeChat
 Centraline Property
 SHK Property / CK Assets Property.

solutions and Big
Data solutions be
useful to Building,
Engineering &

solutions and Big
Data solutions be
useful to Building,
Engineering &
How long w ould it take to build a historical city or historical buildings?
[Source @https://wallpaperaccess.com/historical-building]

solutions and Big
Data solutions be
useful to Building,
Engineering &
d. SWOT analysis, GAP analysis
and Porter analysis

solutions and Big
Data solutions be
useful to Building,
Engineering &
d. SWOT analysis, GAP analysis
and Porter analysis.

solutions and Big
Data solutions be
useful to Building,
Engineering &
e. Potential Benefits, Business
Case, Use of I.T. and Big Data
Solutions.

solutions and Big
Data solutions be
useful to Building,
Engineering &
e. Potential Benefits, Business
Case, Use of I.T. and Big Data
Solutions.
[Source @ APM Body of
Knowledge (7th Edition)]

Section 4 – Latest Artificial Intelligence
developments
a. Latest A.I. developments
b. Potential business and technology impacts.
c. Potential impacts to Project Management.

Section 4 – Latest
Artificial
Intelligence
developments
a. Latest A.I. developments.
 ChatGPT and Open AI
 Source @https://openai.com/about
 Safety and responsibility
 Research – Pioneering the research on the path to AGI
 Open AI – builds upon generative models using a technology
called deep learning which leverage large amounts of data to
train AI system to perform different tasks.
 Texts, languages, images, computer coding, creative thinking,
books & articles etc.
 Safely aligning powerful AI systems under Open AI
 Image / Audio
 Transforming work and creativity with AI
 AI Models and Tools
 Past successful stories
 Open AI Charter (published in 2018)
Latest Artificial Intelligence development

Artificial
Intelligence
developments
 Google Cloud and Google AI
 Source @https://cloud.google.com/products/ai?hl=zh-cn
 AI Machine Learning Products – Free & Priced services
 Generative AI / AI Infrastructure / Data Science Toolkits / Google Cloud /
Google Code Lab /
 Google Bard / Google Magi
 Texts, languages, images, computer coding, creative thinking, books &
articles etc.
 Large-scaled GPU / Nvidia A100 chips, / investments in Microsoft Azure
clouds / large-scale chatbots / “Large Language Models (LLM)” / Natural
Language processing (NLP) etc.
 Generative AI
 Data Science
 Responsible AI
 AI for Data Scientists
 AI for Developers
 Google AI Tools for Everyone
 For Start-up – Supporting innovation everywhere

Artificial
Intelligence
developments
 Baidu AI Cloud and Baidu AI
 Source @https://intl.cloud.baidu.com/
 Source @https://ai.baidu.com/
 Globally available and open AI platform
 Can be used in Mainland PRC, including Hong Kong SAR
 Creativity & dialogue
 Graphics & images
 Facial recognition
 Auto-driving
 Voice recognition
 Education
 SME and Corporation solutions.
 Baidu AI Cloud, Products & Services.

Artificial
Intelligence
developments
 Alibaba AI Cloud and Data Intelligence
 Source @https://www.alibabacloud.com/tc/solutions/ai/data-intelligence
 Source @https://www.alizila.com/alibaba-cloud-debuts-generative-ai-
model-for-corporate-users/
 Globally available and open AI platform
 Can be used in Mainland PRC, including Hong Kong SAR
 Create New Possibilities with Alibaba and Data Intelligence
 Industry Solutions - Finance
 Industry Solutions - Education
 Industry Solutions - Transportation
 Industry Solutions – New Retail
 A.I. Open Services – Vision A.I. / Intelligent Speech / Natural Language
Processing / Digital Marketing / Interactive A.I.
 Data Intelligence and AI Platform
 A.I. Demo
 Customer Success Stories

Artificial
Intelligence
developments
b. Potential Business &
Technology Impacts.
 Potential Business and Technology Impacts
 Risks – Would Artificial Intelligence affect future job opportunities?
 Risks – Would Artificial Intelligence affect our Industry and Business?
 Risks – Would Artificial Intelligence affect the Project Management
practices or Senior / Corporate Management in future?
 Risks – Would Artificial Intelligence impose burden, cost and training to
our Business, Organization or Projects?
 Google & Internet Search – Success Stories for use of A.I. to business.
 YouTube and Social Media Search – Success Stories for use of A.I. to
business.
 Success stories – A.I. to Finance & Banking Sector
 Success stories – A.I. to Building, Engineering & Construction Sector
 Success stories – A.I. to Retail and E-Commerce Sector
 Success Stories – A.I. to Graphic and Image design.
 Success Stories – A.I. to Computer Coding.
 Success Stories – A.I. to Text, Stories or YouTube or Website Production.
Latest Artificial Intelligence developments

Artificial
Intelligence
developments
c. Potential Impacts to
Project Management.
 Potential Impacts to Project Management
Latest Artificial Intelligence developments
[Source @ APM Body of Know ledge (7th Edition)]

Section 5 – Case Study – Pro Tech & Con Tech
a. Pro Tech
b. Con Tech
c. Hypothetical Examples

Section 5 – Case
Study A: ProTech
and ConTech
a. PropTech
 What is PropTech?
 Property Technology (PropTech) – latest technology and software for real
estate business.
 Source @https://ascendixtech.com/proptech-real-estate-definition/
 Online Platform / API / FinTech / Big Data Analytics / VR & AR / Data Security
 Examples of PropTech in People’s Republic of China
 https://m.fang.com/jiaju/?c=jiaju&a=tyBaoming&city=hk&from=wap&Sour
cePageID=58&refer=https%3A%2F%2Fm.fang.com%2Fjiaju%2Fhk.html
 https://m.anfensi.com/news/140335.html
 Examples of PropTech in Hong Kong SAR
 https://play.google.com/store/apps/details?id=com.house730.app&pli=1
 https://www.moneyhero.com.hk/blog/zh/moneyhero%E6%AF%94%E8%B
C%83%E9%A6%99%E6%B8%AF5%E5%A4%A7%E6%90%B5%E6%A8%93
%E7%B6%B2
 https://www.ricacorp.com/zh-
hk/?campaignid=19686283634&adgroupid=145474414465&creative=64815
1806365&keyword=%E7%B6%B2%E4%B8%8A%E6%94%BE%E7%9B%A4
&keyword=%E7%B6%B2%E4%B8%8A%E6%94%BE%E7%9B%A4&tracki
ng=1234&matchtype=p&ds_cid=71700000106488746&gclsrc=aw.ds&gclsr
c=aw.ds&gclid=Cj0KCQjwxYOiBhC9ARIsANiEIfZjrr8hv6m2TpOSMFyjr0Ik
3rrMRpB7s_HGBqwIxBnn4tRGc1S0G8AaAvTUEALw_wcB
Case Study A: PropTech and ConTech

Section 5 – Case
Study A: ProTech
and ConTech
b. ConTech
 What is ConTech?
 Examples of ConTech – Israel
 According to ConTech: “The goal of ConTech is turning Israel
into an international leader and attracter-point in the
construction-tech sector in the spirit of the “start-up nation”
using the latest innovation and technologies. As a part of the
program framework, we have built and maintained an eco-
system of start-ups and a variety of collaborators and
companies…...”
 Source @https://www.contech.me/home/about
 Planning & Design
 Onsite Execution
 Safety
 Inspection & As-built Monitoring
 Materials & Methods
 Project Management & Collaboration Platforms
 Infrastructure Technologies
 Advanced Materials and Methods
 Partners & Collaborators

Section 5 – Case
Study A: ProTech
and ConTech
b. ConTech
 What is ConTech?
 Examples of ConTech – Construction Industry Council
in Hong Kong SAR
 Source
@https://www.cic.hk/eng/main/industry_developm
ent/
 Building Information Modelling (BIM)
 Environment & Sustainability
 Construction Business Development
 Modular Integrated Construction (MIC)
 CITAC
 iHub
 Construction Productivity
 CITF
 Construction Safety
 Webinars

Section 5 – Case
Study A: ProTech
and ConTech
c. Hypothetical Examples

Image goes here
(image to fill entire white
space)
6. Thank You!
Discussions, Questions & Answers Session
Speaker –
Dr. Wilson Lam (Architect, Authorized Person (Architect), MAPM and PMP) –
APM (Greater Bay Area Branch) Committee Member
Email: cw9888@gmail.com or wilson.wp.lam@hotmail.com

Exploring the use of I.T. Solutions, Big Data Solutions for Building, Engineering and Construction Projects, Part I: Case Studies A webinar

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