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FuturePMO
October 2018
The Future of Work –
A closer look at
Artificial Intelligence in PPM
What do we mean by PPM in context?
2
Run the business Change the business
Measurement and
refinement
Deployment
and acceptance
Alignment
and
prioritisation
Measurement
and
re-balancing
Strategy &
Corporate
Governance
Operate &
Realise
Portfolio
Management
Programme
& Project
Delivery
1
2
3
4
Change vs. run
The differing considerations
and approaches necessary
when considering ‘Run the
Business’ and ‘Change the
Business’ functions and
aligning strategy to the
change portfolio
Macro influences
Changing external factors
which impact the business
(positively or negatively)
1 2
Measuring Performance
The necessary metrics and
processes for determining
the fitness of current
business operations and the
effectiveness of delivering
change
Embedding strategic &
operational change
The important processes
and interactions to be
considered when designing,
constructing and
embedding strategic or
operational changes into
business as usual
43
4
What are the areas that we consider as part of PPM ‘scope’?
Our 12 Elements of Delivery Excellence model
sits at the heart of transformation and outlines
the key elements of what a successful project,
programme or portfolio should look like
Insight
Effective reporting that tracks all strategic change
initiatives with tailored communication to stakeholders
Control
Controlled implementation in agreed timelines
Efficiency
Identify and eliminate overlap and exploit synergies
leading to efficiencies and savings
Alignment
Connects execution with strategic direction
3
PwC’s Digital Services 4
Artificial Intelligence
Defining Artificial Intelligence (AI)
A branch of
computer science
that attempts to
perform tasks that
normally require
human intelligence
Automation
Augmented
intelligence
Autonomous
intelligence
No human
in the loop
Human in
the loop
Hardwired/
specific systems
Adaptive systems
Assisted
intelligence
5
Quiz
1
2
3
4
In the next five years, how many connected devices are estimated to be in
operation?
A
B
C
D
12 billion
17 billion
22 billion
27 billion
6
Quiz
Answer:
D 27 Billion
Quiz
How much money could AI add to the UK economy in the next 20 years?
A
B
C
D
£200 billion
£300 billion
£600 billion
£1 trillion
2
3
4
1
8
Confidential information for the sole benefit and use of PwC’s client.
9
Answer:
C 600 Billion
Quiz
Which sectors are perceived to have the greatest potential for product
enhancement and disruption due to AI?
A
B
C
D
Healthcare
Transport and Logistics
Technology and
Communications
Retail
E
F
G
H
Automotive
Financial Services
Energy
Manufacturing
1
2
3
44
1
10
What does this mean for people and business?
Drone delivery of
medical supplies
Virtual assistants
Smart cars/driver
assist
11
How will AI change the world?
Confidential information for the sole benefit and use of PwC’s client.
12
£15.7
trillion
The amount AI could
add to the global
economy by 2030
55%
Of GDP gains will come from
productivity improvements
10.3%
The amount the UK economy
could grow by 2030 as a result
of AI – one of the biggest
commercial opportunities in
today’s economy
76,000
Drones in use across
UK skies by 2030
£10.8
billion
Will be spent on smart
home devices in 2019
PwC’s Digital Services 13
AI & Project Management
PwC’s Global PPM Survey
of PMs say they do not
have integrated
schedules i.e. schedules
at both programme and
project level that align
of PMs say that costs are not
clearly defined at the appropriate
level within the lifecycle of
delivery or scrutinised prior to
approvals of PMOs say
monitoring is one
of their main
focus areas
of CEOs in the CEO Survey
are concerned about the
speed of technological
change as a potential threat
to their organisation's
growth prospects, up from
42% last year
of PMOs say simple
reporting is one of their
main focus areas
47%
63%
54%
24%
33%
Summary findings
Enable your people to
deliver success
Connect the Executive
Team to programme
delivery teams to get the
change you want
Be flexible, change faster
Measure and address the
harsh facts to
maintain direction
Optimise your portfolio to
maximise return
“The ‘type’ of information, and ‘way’ it is discussed needs to
be different in order to address the more rapid
pace of change.”
14
A Potential Revolution in Project Management
• Assimilation of large amounts of
unstructured data.
• Support in making macro, complex
decision-making.
• Automation of transactional processes and
better delivery risk identification.
AI methods will enable the analysis of large quantities of data in an intelligent way, identifying
trends, patterns and highlighting exceptions. This will deliver the right knowledge at the right
time throughout the programme’s lifecycle – and deliver increased productivity.
15
A Potential Revolution in Project Management
Reference class
planning
Benchmarking
and benefits
tracking
Multi-source
master project
planning
Generative risk &
issue management
Generative status
reporting
521 43
Alongside large scale decision making there are also a number of more tactical benefits that AI
will have on the delivery of programmes.
What is the timeline for AI in Project Management?
1 Today
Aggregation:
automation of
manual tasks
3Third Generation
Analysis: deriving insights
from data for decision
support
2 Second Generation
Assurance: validating the
quality and completeness
of data
4 Future
Action: autonomous
decision making
Exciting times ahead!
Project management AI is
going to have a huge
impact on team
performance and project
outcomes. Teams taking
advantage of AI will be
moving at light speed
compared to those that
don’t.
17
At least 5 years** 3 to 5 years Less than 3 years
Which areas of project management could AI* revolutionise?
18
Benefits to business
Potentialforautomation
Budget Tracking
Risk management
Quality Control
Stakeholder
Management
Supplier
Management
Resource
Management
Benefits tracking &
realisation
Status Reporting
Performance
Management
Lessons Learned
Portfolio
Optimisation
* AI or automation
Change control
Project estimating & forecasting
Governance
Project schedule
management
Decision-supportScope definition
Project Management role profile –
today
Project Management role profile –
future
Keyorientations
Role
Creating and operating processes to
ensure that programmes and portfolios
run effectively and efficiently
• Project planning
• Budget tracking and analysis
• Status reporting to senior management
• Ad hoc information requests
• Risk and issue management
• Resource management
• Manual interventions
• Structured data
• Aggregation and reporting
• A focus on IQ
• Data driven
• Execution and attention to detail
Intelligent data scientist with strong
people and problem solving skills, using
insight to drive decision making
• Strategic portfolio and resource planning
• Coding, software development
• Stakeholder management
• Agile project planning
• Creative problem solving – identifying
opportunities for replication and expansion
• Overseeing automation
• Unstructured problem solving
• Analytics and insight
• A blend of IQ and EQ
• Decision support
• Culture and behaviours
AI will revolutionise the job profile of a human project assistant
19
Thank you…
20
This publication has been prepared for general guidance on matters of interest only, and does not constitute professional advice. You should not act upon the information contained
in this publication without obtaining specific professional advice. No representation or warranty (express or implied) is given as to the accuracy or completeness of the information
contained in this publication, and, to the extent permitted by law, PricewaterhouseCoopers LLP, its members, employees and agents do not accept or assume any liability,
responsibility or duty of care for any consequences of you or anyone else acting, or refraining to act, in reliance on the information contained in this publication or for any decision
based on it.
© 2018 PricewaterhouseCoopers LLP. All rights reserved. In this document, "PwC" refers to the UK member firm, and may sometimes refer to the PwC network. Each member firm
is a separate legal entity. Please see www.pwc.com/structure for further details.

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FuturePMO 2018 - Michael Cooch PwC - The Future of Work - A Closer Look at Artificial Intelligence in PPM

  • 1. FuturePMO October 2018 The Future of Work – A closer look at Artificial Intelligence in PPM
  • 2. What do we mean by PPM in context? 2 Run the business Change the business Measurement and refinement Deployment and acceptance Alignment and prioritisation Measurement and re-balancing Strategy & Corporate Governance Operate & Realise Portfolio Management Programme & Project Delivery 1 2 3 4 Change vs. run The differing considerations and approaches necessary when considering ‘Run the Business’ and ‘Change the Business’ functions and aligning strategy to the change portfolio Macro influences Changing external factors which impact the business (positively or negatively) 1 2 Measuring Performance The necessary metrics and processes for determining the fitness of current business operations and the effectiveness of delivering change Embedding strategic & operational change The important processes and interactions to be considered when designing, constructing and embedding strategic or operational changes into business as usual 43 4
  • 3. What are the areas that we consider as part of PPM ‘scope’? Our 12 Elements of Delivery Excellence model sits at the heart of transformation and outlines the key elements of what a successful project, programme or portfolio should look like Insight Effective reporting that tracks all strategic change initiatives with tailored communication to stakeholders Control Controlled implementation in agreed timelines Efficiency Identify and eliminate overlap and exploit synergies leading to efficiencies and savings Alignment Connects execution with strategic direction 3
  • 4. PwC’s Digital Services 4 Artificial Intelligence
  • 5. Defining Artificial Intelligence (AI) A branch of computer science that attempts to perform tasks that normally require human intelligence Automation Augmented intelligence Autonomous intelligence No human in the loop Human in the loop Hardwired/ specific systems Adaptive systems Assisted intelligence 5
  • 6. Quiz 1 2 3 4 In the next five years, how many connected devices are estimated to be in operation? A B C D 12 billion 17 billion 22 billion 27 billion 6
  • 8. Quiz How much money could AI add to the UK economy in the next 20 years? A B C D £200 billion £300 billion £600 billion £1 trillion 2 3 4 1 8
  • 9. Confidential information for the sole benefit and use of PwC’s client. 9 Answer: C 600 Billion
  • 10. Quiz Which sectors are perceived to have the greatest potential for product enhancement and disruption due to AI? A B C D Healthcare Transport and Logistics Technology and Communications Retail E F G H Automotive Financial Services Energy Manufacturing 1 2 3 44 1 10
  • 11. What does this mean for people and business? Drone delivery of medical supplies Virtual assistants Smart cars/driver assist 11
  • 12. How will AI change the world? Confidential information for the sole benefit and use of PwC’s client. 12 £15.7 trillion The amount AI could add to the global economy by 2030 55% Of GDP gains will come from productivity improvements 10.3% The amount the UK economy could grow by 2030 as a result of AI – one of the biggest commercial opportunities in today’s economy 76,000 Drones in use across UK skies by 2030 £10.8 billion Will be spent on smart home devices in 2019
  • 13. PwC’s Digital Services 13 AI & Project Management
  • 14. PwC’s Global PPM Survey of PMs say they do not have integrated schedules i.e. schedules at both programme and project level that align of PMs say that costs are not clearly defined at the appropriate level within the lifecycle of delivery or scrutinised prior to approvals of PMOs say monitoring is one of their main focus areas of CEOs in the CEO Survey are concerned about the speed of technological change as a potential threat to their organisation's growth prospects, up from 42% last year of PMOs say simple reporting is one of their main focus areas 47% 63% 54% 24% 33% Summary findings Enable your people to deliver success Connect the Executive Team to programme delivery teams to get the change you want Be flexible, change faster Measure and address the harsh facts to maintain direction Optimise your portfolio to maximise return “The ‘type’ of information, and ‘way’ it is discussed needs to be different in order to address the more rapid pace of change.” 14
  • 15. A Potential Revolution in Project Management • Assimilation of large amounts of unstructured data. • Support in making macro, complex decision-making. • Automation of transactional processes and better delivery risk identification. AI methods will enable the analysis of large quantities of data in an intelligent way, identifying trends, patterns and highlighting exceptions. This will deliver the right knowledge at the right time throughout the programme’s lifecycle – and deliver increased productivity. 15
  • 16. A Potential Revolution in Project Management Reference class planning Benchmarking and benefits tracking Multi-source master project planning Generative risk & issue management Generative status reporting 521 43 Alongside large scale decision making there are also a number of more tactical benefits that AI will have on the delivery of programmes.
  • 17. What is the timeline for AI in Project Management? 1 Today Aggregation: automation of manual tasks 3Third Generation Analysis: deriving insights from data for decision support 2 Second Generation Assurance: validating the quality and completeness of data 4 Future Action: autonomous decision making Exciting times ahead! Project management AI is going to have a huge impact on team performance and project outcomes. Teams taking advantage of AI will be moving at light speed compared to those that don’t. 17
  • 18. At least 5 years** 3 to 5 years Less than 3 years Which areas of project management could AI* revolutionise? 18 Benefits to business Potentialforautomation Budget Tracking Risk management Quality Control Stakeholder Management Supplier Management Resource Management Benefits tracking & realisation Status Reporting Performance Management Lessons Learned Portfolio Optimisation * AI or automation Change control Project estimating & forecasting Governance Project schedule management Decision-supportScope definition
  • 19. Project Management role profile – today Project Management role profile – future Keyorientations Role Creating and operating processes to ensure that programmes and portfolios run effectively and efficiently • Project planning • Budget tracking and analysis • Status reporting to senior management • Ad hoc information requests • Risk and issue management • Resource management • Manual interventions • Structured data • Aggregation and reporting • A focus on IQ • Data driven • Execution and attention to detail Intelligent data scientist with strong people and problem solving skills, using insight to drive decision making • Strategic portfolio and resource planning • Coding, software development • Stakeholder management • Agile project planning • Creative problem solving – identifying opportunities for replication and expansion • Overseeing automation • Unstructured problem solving • Analytics and insight • A blend of IQ and EQ • Decision support • Culture and behaviours AI will revolutionise the job profile of a human project assistant 19
  • 20. Thank you… 20 This publication has been prepared for general guidance on matters of interest only, and does not constitute professional advice. You should not act upon the information contained in this publication without obtaining specific professional advice. No representation or warranty (express or implied) is given as to the accuracy or completeness of the information contained in this publication, and, to the extent permitted by law, PricewaterhouseCoopers LLP, its members, employees and agents do not accept or assume any liability, responsibility or duty of care for any consequences of you or anyone else acting, or refraining to act, in reliance on the information contained in this publication or for any decision based on it. © 2018 PricewaterhouseCoopers LLP. All rights reserved. In this document, "PwC" refers to the UK member firm, and may sometimes refer to the PwC network. Each member firm is a separate legal entity. Please see www.pwc.com/structure for further details.