Artificial Intelligence And Project Management: Beyond Human Imagination!

www.pwc.ch/ta Artificial Intelligence and Project Management: Beyond Human Imagination! PMDay 2018 Marc Lahmann, Director, PwC Switzerland Manuel Probst, Senior Project Manager, PwC Switzerland Friday, November 23 9.20 – 10.20 am

The future of project management Project Management and Artificial Intelligence – Beyond human imagination! PwC November 2018 2

The future of Project Management is going to be AI Project Management and Artificial Intelligence – Beyond human imagination! PwC November 2018 3

Today’s session 1 AI – A brief introduction 2 3 The project management evolution 4 Lessons Learned from a real life case 5 The project manager of the future Marc Lahmann Phone: 41 58 792 27 99 Mobile: 41 79 829 37 55 E-mail: marc.lahmann@ch.pwc.com AI in project management Manuel Probst Phone: 41 58 792 27 62 Mobile: 41 79 573 05 95 E-mail: manuel.probst@ch.pwc.com Project Management and Artificial Intelligence – Beyond human imagination! PwC November 2018 4

1 AI – A brief introduction PwC

AI – Expectation and Reality Project Management and Artificial Intelligence – Beyond human imagination! PwC November 2018 6

Artificial Intelligence – a brief introduction 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. Artificial Intelligence Applications Machines perform repetitive, monotonous tasks Enables a more efficient, costeffective business and a more productive workforce Automatization Breaks a body of text into words, sentences/phrases and paragraphs Takes high dimensional data and classifies it based on a hyperplane Identifies key words in the text and how they relate to each other to determine the message Natural Language Processing Project Management and Artificial Intelligence – Beyond human imagination! PwC Machine Learning Each node is a function or decision point. Performs multiple layers of calculations, and classifies based on final output Deep Learning (Neural Networks) November 2018 7

The project management 2 evolution PwC

A glimpse into modern project management’s history 2010-2020 Project Management in the digital age 1950-1985 Institutionalization of Project Management 1950 Birth of Project Management Project Management and Artificial Intelligence – Beyond human imagination! PwC 1985-2010 Modern Project Management 2020 Disruptive Project Management November 2018 9

How AI fits into project management Project Management and Artificial Intelligence – Beyond human imagination! PwC November 2018 10

How AI fits into project management How do you think, AI will (could) support you as a project manager Project Management and Artificial Intelligence – Beyond human imagination! PwC November 2018 11

3 AI in project management PwC

Anticipated evolution of AI in project management You need to review a newly raised project risk Autonomous project management Machine learning-based project management Chatbot Assistants Integration & Automation Reduce operational costs and enhance the quality of standardized project management processes Interaction into the automated and integrated project management practice Project Management and Artificial Intelligence – Beyond human imagination! PwC AI performs necessary day-today operations in the project 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 November 2018 13

Anticipated evolution of AI in project management Integration & Automation 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 Project Management and Artificial Intelligence – Beyond human imagination! PwC November 2018 14

Anticipated evolution of AI in project management Chatbot Assistants 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 Project Management and Artificial Intelligence – Beyond human imagination! PwC November 2018 15

Anticipated evolution of AI in project management Machine learning-based project management 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 Project Management and Artificial Intelligence – Beyond human imagination! PwC November 2018 16

Anticipated evolution of AI in project management Autonomous project management 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 Project Management and Artificial Intelligence – Beyond human imagination! PwC November 2018 17

“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 Wolfram Creator of Wolfram Alpha #PMICON18 18

Lessons Learned from 4 a real life case PwC

Challenges and prerequisites for a successful AI implementation Challenges Within the project environment Project complexity A project is a temporary endeavour undertaken to create a unique product, service, or result. (PMI) Social dynamics The project environment is a complex social system including people with different characteristics, backgrounds, ideas, emotions and hidden agendas Keep record Tools for Project Management merely serve as records of what happened For the implementation of AI Creativity AI is created to carry out specific tasks and learn to become better and better at it Costs The implementation and research on AI comes with high costs Project Management and Artificial Intelligence – Beyond human imagination! PwC Time and Financial Resources R&D of AI takes time and financial resources Skills and Capability Specialised and skilled resources need to closely collaborate Computer Processing Power AI requires a huge number of calculations to be processed very quickly PM Processes A certain degree of PM maturity is required for successful automation Data Producing analytical models and results requires a massive amount of data Prerequisites November 2018 20

PwC pilot to predict success rates of internal projects Goal Predict expected client satisfaction, Net Promotor Score, and write-off for our projects. Solution Powerful 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). 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 110.000 projects 2.07 GB of data 70.000 project write-offs Project budgets Project invoicing data Project write-off data Project timesheets Project master data 3.400 3.5 billion NPS and Client invoiced Satisfaction scores Project Management and Artificial Intelligence – Beyond human imagination! PwC Machine learning based project analytics engine Prediction on Expected Net Promotor Score Expected client satisfaction Expected write-off November 2018 21

PwC pilot to predict success rates of internal projects Team Data Analysts Project Management Experts Prerequisites SW & UI Engineer Machine Learning & Neural Network Experts Time and Financial Resources R&D of AI takes time and financial resources Skills and Capability Specialised and skilled resources need to closely collaborate Computer Processing Power AI requires a huge number of calculations to be processed very quickly Timeline PM Processes Data A certain degree of PM maturity is required for successful automation Producing analytical models and results requires a massive amount of data Key Success Factors 1.5 years for idea generation, business case, and acceptance Six 1 week sprints from zero to MvP Project Management and Artificial Intelligence – Beyond human imagination! PwC Rollout planned since autumn 2017 Change & Stakeholder Management Transparency of deficiencies November 2018 22

The project manager 5 of the future PwC

Anticipated evolution of AI in project management You need to review a newly raised project risk Integration & Automation Streamlining and Key automating tasks through elements integration and process Outlook Chatbot Assistants Machine learning-based project management Autonomous project management automation. Integration and automation with additional human-computer interaction, mainly based on speech or text recognition. Enabling predictive analytics and advice to the project manager based on what worked in past projects. Combining the previous phases, autonomous project management leads to little-to-no human interaction in a project. Sophisticated project management tools will enhance the quality of project management processes and reduce the effort and labor costs. Chatbot assistants will take over basic project management tasks, relieve project teams of repetitive tasks and provide more interactive automation capabilities. Predictive project analytics will give project managers better visibility into the project’s future and enhance the quality of decision making. Implementation of autonomous project management for smaller, standardised projects involving relatively little human/ stakeholder interaction. Project managers can focus more on complex project activities creating value for the project. The classic project manager leading a PMO will be increasingly replaced by project assistants. Project Management and Artificial Intelligence – Beyond human imagination! PwC Machine learning-based project management agents will give intelligent advice and may take action on key PM activities, i.e. scheduling and project risks. Purely autonomous project managers seem unlikely within the next 10 to 20 years. November 2018 24

The future of Project Management is going to be AI Technical Project Management PMI Talent Triangle Leadership Strategic & Business Management Project Management and Artificial Intelligence – Beyond human imagination! PwC Technical Project Management Strategic & Business Management ( ) ( ) Leadership ( ) November 2018 25

The future of Project Management is going to be AI Project Management and Artificial Intelligence – Beyond human imagination! PwC November 2018 26

Questions? PwC