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"Whatever you are studding right now, if you are not getting up to speed on deep learning,
neural networks, etc., you lose. We are going through the process where software will
automate software, automation will automate automation" - Mark Cuban
I, Project Manager
The Rise of Artificial Intelligence in the world of Project Management
● Part I ---------------------------------------------- (5 min)
▪ pmmagazine.net
● Part II --------------------------------------------- (20 min)
▪ What is AI?
▪ The different approaches to AI and the key concepts behind AI
● Part III ---------------------------------------------(30 Min)
▪ Project Management & the IT Industry
▪ Major Changes Driving AI Adoption
▪ Prepare yourself, your team, and your organization for the AI Disruption
▪ Harness the Power of AI to empower your role as PM.
▪ Final recommendation & the common pitfalls
Agenda
2 2 min
videos
A Global Project Management magazine
www.pmmagazine.net
pmmagazine.net
We are a team of passionate professionals who believe in sharing knowledge and are interested in contributing to the project
management community.
We noticed that there are plenty of articles being published every single day on different platforms. Sometimes you might get lucky
and have your hand on a rich content article and other times it's just a waste of time.
pmmagazine.net is a smart initiative that started in September 2018. The idea behind it is to create a project management
culture and provide professionals with a monthly collection of top articles written based on a specific theme chosen each
month. The goal is to build a database of top articles written on specific topics in which professionals can refer to whenever they
need this information. Moreover, these articles are verified and filtered among a huge bank of articles. You can also reach to the
author and connect as we provide their contact after taking their consent.
14 Editions 300+ Articles 150+ Authors/37+ Countries 100+ SMEs
A Global Project Management magazine
www.pmmagazine.net
pmmagazine.net
131 Countries 350 Industries 70% 25-45 50% Seniors 25% Corporate Firms
Readers
A Global Project Management magazine
www.pmmagazine.net
pmmagazine.net
Travis Bradberry Barbara Hemphill Bernard Marr Oliver Yarbrough Don Peppers Susanne Madsen Gunther Verheyen
Gabrielle ButtonDana BrownleeAndy Kaufman Henrico Dolfing Paul Boudreau
A Global Project Management magazine
www.pmmagazine.net
pmmagazine.net
Jennifer Bridges Teresa Lawrence David Davis Greta Blash Melanie Franklin Marc-Yvan
PANDJA FALEU
Wanda Curlee
David PorterMassimo LongoGreg Polec George Jucan Bill Yates
What is AI?
Computer Science
Learn by themselves
The difference between AI and
Robotics (Smart Automated System)?
VS
Engineering
Do things autonomously
Combine them
The different
approaches to AI
&
The key concepts
behind AI
The Original Definition/Concept of AI
1955
A Proposal for the Dartmouth Summer Research Project on
Artificial Intelligence (August 31, 1955)
The Original 7 Aspects of AI:
1. Simulating higher functions of the human brain.
2. Programming a computer to use general language.
3. Arranging hypothetical neurons in a manner so that they
can form concepts.
4. A way to determine and measure problem complexity.
5. Self-Improvement.
6. Abstraction: Defined as the quality of dealing with ideas
rather than events.
7. Randomness and creativity.
Definition: “Every aspect of learning or any other feature of intelligence can in principle be so precisely described that a machine can be made to
simulate it. An attempt will be made to find how to make machines use language, form abstractions and concepts, solve kinds of problems now
reserved for humans, and improve themselves.”
Application of AI
Machine Learning
The ability of computers to learn from themselves.
This depends on training machine using datasets. It
depends on getting fed by algorithms and datasets to
recognize pattern and learn from the experience.
Deep Learning
A particular kind of machine learning that is inspired
by the functionality of our brain cells called neurons
which led to the concept of artificial neural network.
Work in abstraction for allowing the system to do
complex function mapping without depending on any
specific algorithm. NO ONE will knows what
happened in neural networks. It is like a Black Box
What is neural network ?
Project Management
&
The IT Industry
• AI is the new IT
• Data become our main asset
• It is time to invest in this technology
• Major changes driving the adoption
AI can be...
Your friend Your worst nightmare
Your Digital Assistant Your Replacement
• Continuously digest data
• Identify patterns, inconsistencies, and outlines
• Make data-driven recommendations
A few years from now, the mechanics of project management
may require no human involvement at all. Automates task
assignment, tracking and reporting to operate independently.
Impact on Project Management
• Re-positioning of project managers
• Improved communications
• Taking over routine task such as Performance Reporting
• Building a better communication channels (especially between team members)
• Outsourcing work (give flexibility); Intelligent machines can help save organization money, because they
don’t they won’t have to outsource much works to contractors
• Remote operations; that will lead organization to offer different life style mode that young generation want.
• Monitor Process Flows
• Check resource availability
• Assign Tasks
• Provide real-time reporting
Demand for predictability
Importance of predictability in every project, especially chaotic projects.
AI can monitor project performance and feed you the latest data driven analysis, which allows you to make
decision based on accurate information.
AI cam monitor (Alert System):
• Deadlines
• Productivity
• Resources
• Risks
• Quality
By monitoring those factors, you will be able to answer different questions like:
• What is the probability to deliver on-time?
• Will the project come under budget?
• Which team member is best assigned to specific tasks?
• Will schedule need/and can be compressed ?
• Which risks need to be responded to?
Prepare yourself,
your team, and
your organization
for the AI
Disruption
• Disruptive Technologies
• Mindset Change
• The power of imagination
Anticipate change
Embrace the Disruption
▪ Take initiatives
▪ Finds ways to use AI.
▪ Present to leadership.
□ no more that 10% to 20% of our jobs will be replaced, but this is not a big number.
□ 100% of the jobs in the world will change.
□ As per PMI “91% of organizations are being impacted by disruptive technologies”.
□ Change your mindset, You have anticipate and embraces AI rather than fear it.
Resistance cycle of change
▪ Frozen Phase
▪ Denial phase
▪ Struggling phase
▪ Depression Phase
▪ Experiment phase
▪ Accepting phase
AI & the secret sauce
Think entrepreneurship
Entrepreneurial Characteristics
• Have a creative spirit
• See opportunities
• Take ownership
• Be flexible
Leverage human creativity
Automation Risks
• Risk of automation on Human creativity
• The power of being proactive & create
opportunities (take information from a
concept and turned them to a product or
solutions.)
AI work based on the data we have, for some reasons, some data might be missed;
and here the entrepreneurship skills & human creativity to fill in the gaps
AI learn as it goes, it digest lessons learn, from previous projects, and data from current project, and pass those insight along to
you. Once you combine your entrepreneur thinking & your creativity with these insights, you will be able to connect the dots; so
you can maximize the value of your project.
Harness the Power
of AI to empower
your role as PM
• Transform your job
• Make new Friends (AI Digital Assistant)
The Power of the future project manager
The answer can be finds in the PMI triangle : AI can’t substitute “Strategic and Business Management”
and “Leadership”; and can’t substitute a project
management skills. It can augmented them, by finding
parameters, identify dependencies, and forecast
outcomes.
As long as you continue to focus on improving your
creativity into personal skills, you should be fine for NOW
Interpersonal skills:
▪ Diplomacy
▪ Negotiation
▪ Public speaking
▪ Communicating
▪ Emotional Intelligence
The true friend!
Initiating
Analyzing & Insights
• Decision-making
• Predictions
• Project Kickoff
• Meeting note and analysis
Executing
Optimize the process
• Complete on Time
• Complete Within Budget
• Create Dynamic Flow
It might help you to save time by accumulating & calculating large volume of data.
It is about delivering the information to you when you need it the most
The Future is happening NOW
Planning
Comprehensive Estimation &
Automated Resource Matches
• Collect Requirements
• Track Assumptions
• Archive materials
• Analyze Lesson Learned
• Create Schedules
• Develop Budgets
• Allocate Resources
• Analyze Risks / Plan Risk Responses
Monitoring & Control
Real Time View
• Status Update Reports
• KPIs
• Forecasting
• Reduce Risks
Closing
Structure & Automate the Process
• Multiple Closes / Formally accept a Project
• Archive Lessons learns
• Build Knowledge base
Final
recommendation
&
The common pitfalls
• Augment Human intelligence Do NOT
eliminate
• Let’s try to see how to use artificial
intelligence to help us building
companies more human.
THANK
YOU
hani@hanihmedeh.com
hanihmedeh.com
pmmagazine.net
email:
website:
magazine:

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I, project manager, The rise of artificial intelligence in the world of project management

  • 1.
  • 2. "Whatever you are studding right now, if you are not getting up to speed on deep learning, neural networks, etc., you lose. We are going through the process where software will automate software, automation will automate automation" - Mark Cuban I, Project Manager The Rise of Artificial Intelligence in the world of Project Management
  • 3. ● Part I ---------------------------------------------- (5 min) ▪ pmmagazine.net ● Part II --------------------------------------------- (20 min) ▪ What is AI? ▪ The different approaches to AI and the key concepts behind AI ● Part III ---------------------------------------------(30 Min) ▪ Project Management & the IT Industry ▪ Major Changes Driving AI Adoption ▪ Prepare yourself, your team, and your organization for the AI Disruption ▪ Harness the Power of AI to empower your role as PM. ▪ Final recommendation & the common pitfalls Agenda 2 2 min videos
  • 4. A Global Project Management magazine www.pmmagazine.net pmmagazine.net We are a team of passionate professionals who believe in sharing knowledge and are interested in contributing to the project management community. We noticed that there are plenty of articles being published every single day on different platforms. Sometimes you might get lucky and have your hand on a rich content article and other times it's just a waste of time. pmmagazine.net is a smart initiative that started in September 2018. The idea behind it is to create a project management culture and provide professionals with a monthly collection of top articles written based on a specific theme chosen each month. The goal is to build a database of top articles written on specific topics in which professionals can refer to whenever they need this information. Moreover, these articles are verified and filtered among a huge bank of articles. You can also reach to the author and connect as we provide their contact after taking their consent.
  • 5. 14 Editions 300+ Articles 150+ Authors/37+ Countries 100+ SMEs
  • 6. A Global Project Management magazine www.pmmagazine.net pmmagazine.net 131 Countries 350 Industries 70% 25-45 50% Seniors 25% Corporate Firms Readers
  • 7. A Global Project Management magazine www.pmmagazine.net pmmagazine.net Travis Bradberry Barbara Hemphill Bernard Marr Oliver Yarbrough Don Peppers Susanne Madsen Gunther Verheyen Gabrielle ButtonDana BrownleeAndy Kaufman Henrico Dolfing Paul Boudreau
  • 8. A Global Project Management magazine www.pmmagazine.net pmmagazine.net Jennifer Bridges Teresa Lawrence David Davis Greta Blash Melanie Franklin Marc-Yvan PANDJA FALEU Wanda Curlee David PorterMassimo LongoGreg Polec George Jucan Bill Yates
  • 10. Computer Science Learn by themselves The difference between AI and Robotics (Smart Automated System)? VS Engineering Do things autonomously Combine them
  • 11. The different approaches to AI & The key concepts behind AI
  • 12. The Original Definition/Concept of AI 1955 A Proposal for the Dartmouth Summer Research Project on Artificial Intelligence (August 31, 1955) The Original 7 Aspects of AI: 1. Simulating higher functions of the human brain. 2. Programming a computer to use general language. 3. Arranging hypothetical neurons in a manner so that they can form concepts. 4. A way to determine and measure problem complexity. 5. Self-Improvement. 6. Abstraction: Defined as the quality of dealing with ideas rather than events. 7. Randomness and creativity. Definition: “Every aspect of learning or any other feature of intelligence can in principle be so precisely described that a machine can be made to simulate it. An attempt will be made to find how to make machines use language, form abstractions and concepts, solve kinds of problems now reserved for humans, and improve themselves.”
  • 13. Application of AI Machine Learning The ability of computers to learn from themselves. This depends on training machine using datasets. It depends on getting fed by algorithms and datasets to recognize pattern and learn from the experience. Deep Learning A particular kind of machine learning that is inspired by the functionality of our brain cells called neurons which led to the concept of artificial neural network. Work in abstraction for allowing the system to do complex function mapping without depending on any specific algorithm. NO ONE will knows what happened in neural networks. It is like a Black Box
  • 14. What is neural network ?
  • 15. Project Management & The IT Industry • AI is the new IT • Data become our main asset • It is time to invest in this technology • Major changes driving the adoption
  • 16. AI can be... Your friend Your worst nightmare Your Digital Assistant Your Replacement • Continuously digest data • Identify patterns, inconsistencies, and outlines • Make data-driven recommendations A few years from now, the mechanics of project management may require no human involvement at all. Automates task assignment, tracking and reporting to operate independently.
  • 17. Impact on Project Management • Re-positioning of project managers • Improved communications • Taking over routine task such as Performance Reporting • Building a better communication channels (especially between team members) • Outsourcing work (give flexibility); Intelligent machines can help save organization money, because they don’t they won’t have to outsource much works to contractors • Remote operations; that will lead organization to offer different life style mode that young generation want. • Monitor Process Flows • Check resource availability • Assign Tasks • Provide real-time reporting
  • 18. Demand for predictability Importance of predictability in every project, especially chaotic projects. AI can monitor project performance and feed you the latest data driven analysis, which allows you to make decision based on accurate information. AI cam monitor (Alert System): • Deadlines • Productivity • Resources • Risks • Quality By monitoring those factors, you will be able to answer different questions like: • What is the probability to deliver on-time? • Will the project come under budget? • Which team member is best assigned to specific tasks? • Will schedule need/and can be compressed ? • Which risks need to be responded to?
  • 19. Prepare yourself, your team, and your organization for the AI Disruption • Disruptive Technologies • Mindset Change • The power of imagination
  • 20. Anticipate change Embrace the Disruption ▪ Take initiatives ▪ Finds ways to use AI. ▪ Present to leadership. □ no more that 10% to 20% of our jobs will be replaced, but this is not a big number. □ 100% of the jobs in the world will change. □ As per PMI “91% of organizations are being impacted by disruptive technologies”. □ Change your mindset, You have anticipate and embraces AI rather than fear it. Resistance cycle of change ▪ Frozen Phase ▪ Denial phase ▪ Struggling phase ▪ Depression Phase ▪ Experiment phase ▪ Accepting phase
  • 21. AI & the secret sauce Think entrepreneurship Entrepreneurial Characteristics • Have a creative spirit • See opportunities • Take ownership • Be flexible Leverage human creativity Automation Risks • Risk of automation on Human creativity • The power of being proactive & create opportunities (take information from a concept and turned them to a product or solutions.) AI work based on the data we have, for some reasons, some data might be missed; and here the entrepreneurship skills & human creativity to fill in the gaps AI learn as it goes, it digest lessons learn, from previous projects, and data from current project, and pass those insight along to you. Once you combine your entrepreneur thinking & your creativity with these insights, you will be able to connect the dots; so you can maximize the value of your project.
  • 22. Harness the Power of AI to empower your role as PM • Transform your job • Make new Friends (AI Digital Assistant)
  • 23. The Power of the future project manager The answer can be finds in the PMI triangle : AI can’t substitute “Strategic and Business Management” and “Leadership”; and can’t substitute a project management skills. It can augmented them, by finding parameters, identify dependencies, and forecast outcomes. As long as you continue to focus on improving your creativity into personal skills, you should be fine for NOW Interpersonal skills: ▪ Diplomacy ▪ Negotiation ▪ Public speaking ▪ Communicating ▪ Emotional Intelligence
  • 24. The true friend! Initiating Analyzing & Insights • Decision-making • Predictions • Project Kickoff • Meeting note and analysis Executing Optimize the process • Complete on Time • Complete Within Budget • Create Dynamic Flow It might help you to save time by accumulating & calculating large volume of data. It is about delivering the information to you when you need it the most The Future is happening NOW Planning Comprehensive Estimation & Automated Resource Matches • Collect Requirements • Track Assumptions • Archive materials • Analyze Lesson Learned • Create Schedules • Develop Budgets • Allocate Resources • Analyze Risks / Plan Risk Responses Monitoring & Control Real Time View • Status Update Reports • KPIs • Forecasting • Reduce Risks Closing Structure & Automate the Process • Multiple Closes / Formally accept a Project • Archive Lessons learns • Build Knowledge base
  • 25. Final recommendation & The common pitfalls • Augment Human intelligence Do NOT eliminate • Let’s try to see how to use artificial intelligence to help us building companies more human.