Artificial Intelligence and Project Management: Beyond ......Chatbot Assistants Chatbot assistants...
Transcript of Artificial Intelligence and Project Management: Beyond ......Chatbot Assistants Chatbot assistants...
Artificial Intelligence and Project Management: Beyond Human Imagination!
Marc Lahmann, Director, PwC Switzerland
Manuel Probst, Senior Project Manager, PwC Switzerland
www.pwc.ch/ta
PMDay 2018
Friday, November 239.20 – 10.20 am
PwC
The future of project management…
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PwC
The future of Project Management is going to be AI…
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PwC
Phone: +41 58 792 27 62Mobile: +41 79 573 05 95E-mail: [email protected]
ManuelProbst
The project management evolution2
AI in project management3
Lessons Learned from a real life case4
The project manager of the future5
Phone: +41 58 792 27 99Mobile: +41 79 829 37 55E-mail: [email protected]
MarcLahmann
AI – A brief introduction1
Today’s session
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PwC
AI – A brief introduction1
PwC
AI – Expectation and Reality
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PwC
Artificial Intelligence – a brief introduction
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Artificial Intelligence Applications
Artificial Intelligence is the ability of a system to perform tasks through intelligent deduction, when provided with an abstract set of information.
…the designing and building of intelligent agents that receive percepts from the environment and take actions that affect that environment.
Machines perform repetitive, monotonous tasks
Enables a more efficient, cost-effective business and a more productive workforce
Automatization
Each node is a function or decision point. Performs multiple layers of calculations, and classifies based on final output
Deep Learning(Neural Networks)
Breaks a body of text into words, sentences/phrases and paragraphs
Identifies key words in the text and how they relate to each other to determine the message
Natural Language Processing Machine Learning
Takes high dimensional data and classifies it based on a hyperplane
PwC
The project management evolution
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PwC
A glimpse into modern project management’s history
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1950
Birth of Project Management
1950-1985
Institutionalization ofProject Management
1985-2010
Modern ProjectManagement
2020
Disruptive ProjectManagement
2010-2020
Project Managementin the digital age
PwC
How AI fits into project management
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PwC
How AI fits into project management
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How do you think, AI will (could)support you as a project manager
PwC
AI in project management3
PwC
Anticipated evolution of AI in project management
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Integration &Automation
Reduce operational costs and enhance the quality of standardized project management processes
ChatbotAssistants
You need to review a newly raised project risk
Interaction into the automated and integrated project management practice
Machine learning-based project management
AI provides insight into the current project based on what worked in past projects
Management gets predictive insights on the project schedule and the expected cash out/write offs from the beginning
Autonomous project management
AI performs necessary day-to-day operations in the project
PwC
Anticipated evolution of AI in project managementIntegration & Automation
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Potential uses
Enhance robustness of project planning by implementing auto-scheduling with pre-programmed logic & rules
Integrate issue tracking tool into project planning to identify delays in streams based on number of issues
… and many more!
Current uses
Incorporation of MS Project Online into Wunderlist for task creation and scheduling via Wicresoft
Use online templates in Slack or MS Sharepoint to produce project documentation
PwC
Anticipated evolution of AI in project managementChatbot Assistants
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Potential uses
Take over basic project management tasks, like reminding team members of pending status updates
Provide basic insight into available data, by answering questions like «what is my team currently working on?»
Current uses
Intelligent bots for Slack can process conversations and recognize and recommend task assignments
Chatbots that send reminders to teams and tracks their performance
PwC
Anticipated evolution of AI in project managementMachine learning-based project management
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Potential uses
Convert mind maps into semantic networks and derive tasks and their relationships from it
Assess proposed project plans based on historical data and past team performances and highlight potential scheduling conflicts
Current uses
Identify and connect team members based on their skills, availability, capacity and location to setup the best team for a work package incl. prediction on performance / outcome, i.e. Polydome
PwC-internal project assessment tool
PwC
Anticipated evolution of AI in project managementAutonomous project management
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Potential uses
Assess all the given data points during the project in real-time and derive the best possible actions/decisions
Sentimental analysis to crawl through stakeholder communication to understand satisfaction at any given point in time and react accordingly
Current uses
No real-life use cases supporting fully autonomous project management exist
UNDER CONSTRUCTION
#PMICON18
“What will AI allow us to automate? We will be able to
automate everything that we can describe. The problem is: it’s not
clear what we can describe.”
Stephen WolframCreator of Wolfram|Alpha
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PwC
Lessons Learned from a real life case
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PwC
Challenges and prerequisites for a successful AI implementation
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For the implementation of AI
CreativityAI is created to carry out specific tasks and learn to become better and better at it
CostsThe implementation and research on AI comes with high costs
ChallengesWithin the project environment
Social dynamicsThe project environment is a complex social system including people with different characteristics, backgrounds, ideas, emotions and hidden agendas
Keep recordTools for Project Management merely serve as records of what happened
Project complexity A project is a temporary endeavour undertaken to create a unique product, service, or result. (PMI)
Prerequisites
Data
Producing analytical models and results requires a
massive amount of data
Time and Financial Resources
R&D of AI takes timeand financial
resources
PM Processes
A certain degree of PM maturity is required
for successful automation
Skills and Capability
Specialised and skilled resources need
to closelycollabo-
rate
Computer Processing Power
AI requires a huge number of calculations to be processed
very quickly
PwC
PwC pilot to predict success rates of internal projects
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Prediction on
▪ Expected Net Promotor Score
▪ Expected client satisfaction
▪ Expected write-off
110.000 projects
2.07 GB of data
70.000 project write-offs
3.400 NPS and Client
Satisfaction scores
3.5 billion invoiced
Project budgetsProject invoicing dataProject write-off dataProject timesheetsProject master data
Machine learning based project analytics engine
DSM can use algorithms from
▪ The scikit-learn python library
▪ Azure machine learning
▪ R (Programming language)
▪ Any other language…
Algorithms used for our pilot included
▪ Decision tree classifier
▪ Logistic regression
▪ Random forest classifier
Goal Predict expected client satisfaction, Net Promotor Score, and write-off for our projects.
SolutionPowerful project analytics engine combining AI and machine learning to analyse data in depth and to find new success rules and patterns using PwC’s Data Science Machine (DSM).
PwC
PwC pilot to predict success rates of internal projects
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Six 1 week sprints from zero to MvP
> 1.5 years for idea generation, business case, and acceptance
Rollout planned since autumn 2017
Timeline
Team
Data Analysts
SW & UI EngineerProject ManagementExperts
Machine Learning & Neural Network Experts
Prerequisites
Data
Producing analytical models and results requires a
massive amount of data
Time and Financial Resources
R&D of AI takes timeand financial
resources
PM Processes
A certain degree of PM maturity is required
for successful automation
Skills and Capability
Specialised and skilled resources need
to closelycollabo-
rate
Computer Processing Power
AI requires a huge number of calculations to be processed
very quickly
Key Success Factors
Change & Stakeholder Management
Transparency of deficiencies
PwC
The project manager of the future
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PwC
Anticipated evolution of AI in project management
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Key elements
Outlook
Integration & Automation
Sophisticated project management tools will enhance the quality of project management processes and reduce the effort and labor costs.
Project managers can focus more on complex project activities creating value for the project.
Streamlining and automating tasks through integration and process automation.
You need to review
a newly raised
project risk
Chatbot Assistants
Chatbot assistants will take over basic project management tasks, relieve project teams of repetitive tasks and provide more interactive automation capabilities.
The classic project manager leading a PMO will be increasingly replaced by project assistants.
Integration and automation with additional human-computer interaction, mainly based on speech or text recognition.
Machine learning-based project management
Predictive project analytics will give project managers better visibility into the project’s future and enhance the quality of decision making.
Machine learning-based project management agents will give intelligent advice and may take action on key PM activities, i.e. scheduling and project risks.
Enabling predictive analy-tics and advice to the project manager based on what worked in past projects.
Autonomous project management
Implementation of autonomous project management for smaller, standardised projects involving relatively little human/ stakeholder interaction.
Purely autonomous project managers seem unlikely within the next 10 to 20 years.
Combining the previous phases, autonomous project management leads to little-to-no human interaction in a project.
PwC
The future of Project Management is going to be AI…
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Strategic &Business
Management
Leadership
PMITalent
Triangle
TechnicalProject
Management
TechnicalProjectManagement
✓ ✓ ✓ ✓
Strategic &BusinessManagement
(✓) (✓)
Leadership (✓)
PwC
The future of Project Management is going to be AI…
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PwC
Questions?
PwC
Phone: +41 58 792 27 62Mobile: +41 79 573 05 95E-mail: [email protected]
ManuelProbst
Phone: +41 58 792 27 99Mobile: +41 79 829 37 55E-mail: [email protected]
MarcLahmann
Thank you!
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AI willtransform
projectmanagement
Are youready?
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