This document discusses the future of work and project management. It begins with an introduction to Rhys Lancaster, Global Head of Project Management at PMO 2030. The rest of the document is summarized as follows: The document explores emerging technologies like robotic process automation, machine learning, and autonomous vehicles that are automating work at an exponential rate. Examples are given of how robotic process automation is already automating repetitive tasks in organizations. The document envisions how the role of project management may evolve from 2017 to 2030 with new technologies automating more project administration and decision making tasks. In the future, technologies may be able to completely replace some project management roles through advanced automation and artificial intelligence.

1. THE FUTURE OF WORK?
RHYS LANCASTER
GLOBAL HEAD OF PROJECT MANAGEMENT
PMO 2030

2. INTRODUCTION
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3. $108.78 billion
~68% outside India
Europe largest market
Over 140
Years in Operation
Only Indian entity
on Forbes’ List of World’s 20 Most
Reputed Companies
CSR focused
67% of shares are owned by a
family trust
610,000
Employees Worldwide
Over 100
Operating Companies in 7 Sectors across
6 Continents
TATA GROUP

4. 1 Million
Square feet of data
center and co-location
across 44 locations
International
wholesale voice
minutes per year
70 Billion
Service provider
relationships
1,600
Of all
international
voice calls
delivered by us
1 in 5
Of world’s
roaming
traffic is
facilitated by
us
50%
International wholesale voice
and mobile roaming
Tb/s of bandwidth
connected20
Billion invested in network and
assets12
Submarine cable owner
#1
International voice carrier
#1
Mobile roaming and signaling
provider#1
Petabytes
delivered each
month
9,400
192
Countries connected
Offices in 31 countries.
71% revenues
generated outside of
India
Cloud hubs, with
over 40
interconnections
16
Network
reaching
99.7% of the
world’s GDP
710,000 km of subsea
and terrestrial fibre:
world’s only global fibre
ring
Accelerating growth
to and within
emerging markets
Carrying 24% of
world’s Internet
routes
World’s highest capacity
network

5. GLOBAL HEAD OF PROJECT MANAGEMENT
• 20 years in the IT & Telecommunications Industry
• 7 years at Tata Communications, building a global PMO function,
evangelising the practice, creating PS capability
• Currently driving organizational change to automate processes &
systems, and building a team of experts to guide customers on
their digitalization journey
SPEAKER

6. ROBOTIC PROCESS AUTOMATION
MACHINE LEARNING & ANALYTICS
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PMO 2030

7. WHY WE ARE ON THE CUSP OF A REVOLUTION
THE POWER OF EXPONENTIAL CURVES
• Humans are not wired
to understand
“Exponential”
• Nothing happens for a
long time. Then
everything happens.

8. SAE Autonomy levels
1880s – Level 0 - No Driving Automation
1970s – Level 1 Driver Assistance
1990s – Level 2 Partial Driving Automation
2000s – Level 3 Conditional Driving Automation
2010 – Level 4 High Driving Automation
2015 – Level 5 Full Driving Automation
2021 – Ford’s target for Mass Market Level 5
EXPONENTIAL GROWTH - AUTONOMOUS CARS
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9. • “Forced Labour” in Czech. A machine capable of
carrying out a series of actions, programmable by a
computer
• Manufacturing – production line
• Not fully automated, humans are still required where
there is any variable
ROBOTICS
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10. WHAT IS IT?
Repetitive (computer based) tasks that previously required a human
to perform
“Microsoft Macro” rebooted. Without the limitations or need to
program
Operates at the User Interface. More like “training” a human
ROBOTIC PROCESS AUTOMATION
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11. No need for costly IT integration
No need for programming
Already faster, more accurate than a human
RPA ADVANTAGES
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12. Learning to cope with variables, prefers structured data
Currently limited decision making capability
Cost vs Labour
RPA will scale then convergence with other technologies
such as Machine Learning and Analytics to address this
RPA CURRENT CHALLENGES
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13. GLOBAL PMO TRANSFORMATION
Vendor handover
via email to
system entry
e.g. SAP, CMDB
Data Quality
Vendor
Access
Handover
Various email
inputs to system
updates
Reduction in
Error Rates
Project
Coordinator
Automation Order creation
in multiple
systems from
email inputs
Reduction in
Error Rates,
Data Quality,
System
Integration
Order Entry
ROBOTIC PROCESS AUTOMATION PROJECTS
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14. PMO 2017 TO PMO 2030
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Governance
Documenting Decisions &
Tracking Action Items
Management Information
Reporting
Quality
Management
Administration tasks within
QM function
Automation of Project
Quality reports
Able to assess quality of
documents
Risk & Issue
Management
Understanding situations and risks
through machine learning and data
analytics
Resource
Management
Forecasting workload based not
just on past patterns, but future
predictions
Decision
Making
Able to make “better than human”
decisions based on analysis of huge
data sets
Project
Management?
Understanding scope, context and
relationships
Able to handle complex human
conversations and nuances
Completely replace the Project
Manager?
Project
Performance
Management
Status Reports – various data
sources
Schedule
Management
Facilitate & automate
system updates
Supplier
Management
Automation of Supplier
scorecards
Billing & Invoicing – e.g. SAP
administration
Financial
Management
Tracking spend across
various systems, collating
to PMO tools

15. THANK YOU
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