This document summarizes Dr. Joseph Sweeney's presentation on enabling workforce and workspace transformation through IT agility. The presentation discusses how digital workspaces can act as a platform to bring together human work, machines, tasks and environments. It argues that while many underestimate the impact of automation, 40% of today's jobs are at risk and the effects will be deeper than replacing jobs alone. The presentation also emphasizes that innovation comes from incremental improvements by everyone, and that ICT's role is to enable this through consulting, empowering business leads and automating processes.

1. #CIOEdge #ADAPT @ADAPT Ventures
IT AGILITY:
How to enable
Workforce & Workspace
Transformation
Dr. Joseph Sweeney
Lead Analyst

2. IT Agility: How to enable workforce &
workspace transformation
Dr. Joseph Sweeney
Advisor, IBRS

3. The Context of Business Tech Priorities

4. Top Priorities for 2018
New Data Centre & Cloud
• Hyper-convergence
• Software-defined
infrastructure
• Lift & Shift vs Rewrite
• Leverage new solution
architectures to gain agility
• Delineate differentiate and
non-differentiated services.
New Operating Model
• Automation of BAU
• Cost transparency
• ICT competes against the
market
• Shift ICT focus to
• service broker
• innovation
• line of business partner
• business competition
New Environment
• Increasing threat footprint
• Security is no longer ICT
domain
• Innovation enabled by
mature risk awareness
Running
ICT as-a-Service
Risk & Security
BAU while
Upgrading
Workforce
Transformation
Automation & Elimination
• Digital vs digitisation
• Inability to extract value
from new collaborative
tools
• Post-departmental
thinking
• Customer-view / design-
thinking
• New forms of structure &
employment.
• Innovation culture

5. Do we have our head in the sand?
• IBRS interviews with 1000
Australian workers reveals that
72% of people see no near
term (within 5 years) threat or
changes to work as a result of
machine-intelligence driven
automation.
Next 12
Months
5%
Within 2
Years
8%
Within 5
Years…
Between 5
and 10
Years
17%
Beyond 10
Years
27%
Never
28%
When do you think the use of AI
by your employer will result in a
loss of jobs?

6. The journey of ahead

7. Human & Machine & Work
• Notice that we are currently
still talking about devices as
separate from work and
location and workers.
• We need to bring these
together...
Work ContextWork Context
Environment
Task Machine
Form factors
IoT
Autonomous
machines
Usage Policy
UX
Richness of Data
Processes
On-location
benefits

8. Human & Machine & Work = PLATFORM
Conceptually, the platform sits
at the intersection. It must
enable:
• worker access to apps and
information as close as
possible to the work
• sharing of information
between worker & machines
• orchestrate machine
interaction (IoT)
• automate as much as
possible, leaving workers to
focus on interventions
Work Context
DIGITAL
WORKSPACES
AS PLATFORM
Environment
Task Machine
Form factors
IoT
Autonomous
machines
Usage Policy
UX
Richness of Data
Process
On-location
benefits Connectivity
Management
Orchestration
Security

9. Structural Impact of Digital Workspaces
Business Desires
1. Mobility: “Work is an
activity, not a place.”
2. Device agnostic: “Right
tool, at the right time in the
right place.”
3. Borderless collaboration &
comms: “Right people for
the job.”
4. Mainstream teleworking:
“Hire for skill, not location.
ICT Considerations
• Cross-platform MDM
• Federated authentication
• Transient devices.
Transformed software UX
• CYOD and BYOD.
• 4th wave of unified comm
• Cloud storage
• Cloud collaboration &
productivity suites.
• Desktop as a Service.

10. But a platform will not lead to innovation
Questions to consider
• What is innovation?
• Who ‘owns’ innovation?
• Who performs innovation?
Reinventing Continual Improvement
• Innovation is not the same as
transformation or disruption.
• Innovation is small, incremental
improvements to how work gets
done.
• Over time, many small innovations
can look like transformation.
• Innovation happens at the ‘coalface’
of an organisation – where work
happens.
• Thus, it must be owned by everyone,
and performed by everyone.

11. Compass: Creating a Digital Workspace
Strategy

12. ICT’s role in Innovation and Agility
Consultative
• Get close to HR.
• Present what’s possible.
• Constantly engage around
governance – put the risk decisions
back on business, but help them
understand the balance.
• Don’t overuse the term ‘agile.’ It does
not mean the same thing to most
business people.
• Get close-up. Distribute ICT people
where they are needed.
Enablement (new skills)
• Brokering rather than procurement
• Provide platforms for business leads
to create solutions (eforms, workflow,
collaboration, etc.
• Automate, automate, automate.
• Invest in PaaS for future apps… but
understand value of cloud lock-in
• Ring-fence legacy, consider IaaS
Work with Senior Executives to develop a company-wide, practice of innovation.
Impact: time for innovation, freedom to experiment, formal and agreed upon
evaluation criteria.

13. Q&A
This presentation available via IBRS
Nick Bowman: nbowman@ibrs.com.au
https://www.linkedin.com/in/joesweeneyibrs/

14. It’s not business as usual...
The Big Prediction
(that most people think is hype)
“40% of today’s jobs are
at moderate to high-risk
of being replaced by
technology.*”
● Committee for Economic Development
Australia, “5 million jobs to go by 2030,”
2016
It’s NOT just jobs that
are changing. It’s the
work that is needed to
be done. How we
hire. How we structure
business.
The impact is bigger
than job change.

15. Workplace automation will be
deeper than most people realize
“…optimism relies on the
claim that there exists a
large set of types of tasks
that cannot be automated
and, in turn, that those
tasks that cannot be
substituted by automation
are generally
complemented
by it.”
The fundamentals of how
we thought machines
would impact work are
proving to be wrong!
Daniel Susskind, Oxford University,
“A Model of Technological

16. Examples of underestimating the
impact of automation
“The task of driving a car
can not be readily
automated”
Said in 2003 by Autor, Levy and Murnane,
arguably three of the most knowledge
proponents of AI and automation in the
world. 2 years later, the first self-driving car
was demonstrated.
“Order-taking and table-
waiting can not be readily
automated.”
Said in 2013 by Autor and Dorn. 2 years
later, Chili’s and Applebee began installing
100,000 tablets so customers could order &
pay with out wait staff.
“Identifying a species of
bird based on a fleeting
glimpse can be readily
automated.”
Said in 2015 by Autor… a year later an app
was released to do just this.