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Digital Future trend paper
- 2. Copyright reserved
Due to exponential growth of computational power and
technological progress change becomes the norm
TechnologicalProgress
202520152014 2016 2017
Artificial Intelligence
IoT platforms
4D-printing
Autonomous Driving
Brain-Machine-Interface
THE PAST: uncertainty
Due to the exponential progress of
technologies and computational
power, the way we are currently
working in organisations is
dramatically changing. Business
models are disrupted constantly. It is
no longer sufficient to come up with
strategies for the next 3-5 years.
Companies need to ask themselves
how the world will change due to
technological progress and what
impact this could have on their
business. Deriving solutions from a
future perspective is key.
© LRN LAB 2017 Page 2
Challenges for companies in
exponential times
- 3. Copyright reserved
The objective of our trend research was trying to
anticipate the impacts of technological progress…
What are the disrupting
technologies?
Exemplary
research
questions
Procedure
to find
answersHow will technology
change the world in >10
years from now?
What will be the
social consequences?
How will leadership and our
way of working change?
Desktop research
• International
online sources
• Differentiated
studies and
publications
• Exchange and
challenging with experts
and future researchers
(e.g. via expert
interviews)
© LRN LAB 2017 Page 3
…in order to be able to help companies tackle the right issues now that will prepare them for the future
- 4. Copyright reserved
In the buzzword jungle of digitalisation, we derived five
major trend clusters which we analysed in depth
Value shift
Mindfulness
Artificial
Intelligence
Robotics
Ambidextrous
Cooperative
systems
Changed focus
Democratisation
of knowledge
Internet
of Things
Self-management
Natural
interfaces
Extended
basic needs
Creativity-focused
Learning
Blockchain
Change
of incentive
methods
Reconfiguration
of teams and work
Augmentation
1.
Technology
Individualisation
3. Human
Machine Interface
5. Organisation &
Working World
2. Learning
4. Values &
Society
Machine
Learning
© LRN LAB 2017 Page 4
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The result of our broad trend research and all findings
in the five clusters are our 12 trend hypotheses
Uncertainty is the
resource of the future
Current organisational
structures reject
transformation
Self-attack becomes
the strategy for
success
The solutions come
from the future
Systemic thinking
grasps the inter-
dependencies
between changes
Self-realisation
becomes
a central skill
The future belongs
to those who never
stop learning
Learning formats will
be revolutionised
through technology
The worlds of
differing experience
will be successful
together
Artificial Intelligence
becomes a team
member
Methods of working
become multi-
optional
Leading in digital times
is collaborative and on
a level playing field
1 2 3 4
5 6 7 8
9 10 11 12
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UNCERTAINTY IS THE
RESOURCE OF THE FUTURE
You can use the uncertainty of
constant change as a resource
instead of wanting to avoid it.
Uncertainty becomes the norm,
whereby new opportunities
always arise. You can learn to
manage the uncertainty actively
by learning to cope with it from
an inner perspective and also
with help from technological
tools for example.
1 © LRN LAB 2017 Page 6
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CURRENT ORGANISATIONAL
STRUCTURES REJECT
TRANSFORMATION
New problems require new
solutions and every solution brings
with it a new problem. The speed
of change requires that you cast
off your familiar routines.
Organisational structures must
enable the search for new paths
so you are unhindered in your
transformation.
2 © LRN LAB 2017 Page 7
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SELF-ATTACK BECOMES
THE STRATEGY FOR SUCCESS
Continual reinvention in every
dimension will be of paramount
importance for the long-term
survival of companies so that
business models remain prepared
for unavoidable developments.
For you as an employee or a
leader, this means scrutinising your
role and decisions and attacking
yourself in order to discover your
maximum potential for growth.
3 © LRN LAB 2017 Page 8
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THE SOLUTIONS COME
FROM THE FUTURE
Solutions derived from the here
and now are quickly overtaken
by exponential advancement.
Start now with solutions from
the future. Open yourself
to unimaginable, futuristic
scenarios and impulses.
4 © LRN LAB 2017 Page 9
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SYSTEMIC THINKING GRASPS
THE INTERDEPENDENCIES
BETWEEN CHANGES
When your leadership practice
and thinking is based on systemic
thinking, you can regard
the interconnectedness of your
business and the world as a whole.
The understanding of the proces-
ses of change will enable you to
initiate a profound “mind-shift“.
5 © LRN LAB 2017 Page 10
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SELF-REALISATION
BECOMES A CENTRAL SKILL
The high speed of permanent
change leads to an increased need
to focus and reduce complexity.
The ability to tune in and act
consciously will be your big
advantage in the modern working
world. When you are at rest inside
yourself you can reach others
better.
6 © LRN LAB 2017 Page 11
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THE FUTURE BELONGS TO
THOSE WHO NEVER STOP
LEARNING
One is much more flexible in
handling the uncertain and fast-
paced world when one is open to
new ideas and influences.
Continual learning, which implicitly
takes place during your work day,
is the key to a successful digital
transformation. Peer2Peer and co-
creation processes take a central
role in future methods of learning.
7 © LRN LAB 2017 Page 12
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LEARNING FORMATS WILL
BE REVOLUTIONISED
THROUGH TECHNOLOGY
Technological progress enables
increasing individualisation of
learning formats. “Big data“ and
“learning analytics“ are drivers of
this development. This results in
numerous opportunities for you to
learn suitably to your needs. This
requires companies to develop a
highly dynamic working
environment.
8 © LRN LAB 2017 Page 13
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THE WORLDS OF DIFFERING
EXPERIENCE WILL BE
SUCCESSFUL TOGETHER
The differences in the traditional
and modern working world must
be united. A respectful and
appreciative culture of learning
empowers you and your team.
If we respect the past and present,
we can actively create a better
future and all profit from each
other.
9 © LRN LAB 2017 Page 14
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ARTIFICIAL INTELLIGENCE
BECOMES A TEAM MEMBER
Artificial Intelligence gives teams
the freedom to focus on value
adding and interesting tasks by
taking over repetitive and
dangerous work. In order to
understand the potentials of AI
and how you can make use of it,
you need to gain a general
understanding of the digital world
and technological progress.
10 © LRN LAB 2017 Page 15
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METHODS OF WORKING
BECOME MULTI-OPTIONAL
Technological progress triggers
fundamental changes in our
society and our model of social
values. This, in turn, has effects
on our working world: one’s
profession should unite individual
values and lifestyles, for example
through flexible working hours
and locations.
11 © LRN LAB 2017 Page 16
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LEADING IN DIGITAL TIMES
IS COLLABORATIVE AND ON
A LEVEL PLAYING FIELD
Mere control function and
traditional leadership lose
their impact. Organisations are
identified by flat hierarchies.
In the future you will be needed
at your teams‘ side, participating
in operative work, in order to make
decisions where questions arise.
Successful teams will increasingly
have interdisciplinary
characteristics.
12 © LRN LAB 2017 Page 17
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What can you do with the knowledge of these
12 trend hypotheses? Start now with first small steps
Share Your Knowledge
Don’t run a “closed shop”.
Companies need to share their
knowledge and learn from each
other.
Be Bold
Don’t always ask for permission, ask for
forgiveness instead. Try out new things.
Change always starts with yourself.
Demystify Buzzwords
Reduce fears in your team by
demystifying topics such as Machine
Learning and AI.
Create a Common Ground
Secure a uniform understanding of
terms such as agile in your team.
Start with Yourself
Reflect your own leadership: Are you driving change
or are you driven by it? Get into the driver seat by
understanding the logic of digital transformation.
Find further
actions on
www.lrn-lab.com
Actions
© LRN LAB 2017 Page 18
Be Transparent
Start using simple collaboration tools which
enable collaboration on eye-level,
e.g. Slack and Trello.
- 19. Copyright reserved
The LRN LAB
Research Team
Page 19© LRN LAB 2017
Andrea Kahlenberg
Anja Schnoor
Jumana Marji
Lars Holzberg
Mario Gaiser
Sophie Sperling
Rebecca Weisl
Pamela Treichler
+49 (0)30 72290356
lrn-lab@innogy.com
www
www.lrn-lab.com
- 20. Copyright reserved
“Führungskräfte-Training im Wandel – Was modernes
E-Learning leisten muss” (2017) Lecturio
“Artificial Intelligence and Life in 2030 – One Hundred Year Study on
Artificial Intelligence” (2016) Stanford University
“Transformation – Delivering and sustaining breakthrough
Performance” (2016) BCG The Boston Consulting Group
“Research Report: Aligning the Organization for Its Digital Future”
(2016) MIT Sloan Management Review
“Glimpses into the Future of Corporate Learning”
(2016) abc tillmann Dr.Thomas Tillmann
“Digital Natives” (2016) Fraunhofer-Institut
für Arbeitswirtschaft und Organisation IAO
“Your robot personal assistant will know when you‘re stressed,
tired or hungry” (2016) Corinna Lathan and Stuart Russell
“Arbeiten in der Crowd – Generelle Entwicklungen und
gewerkschaftliche Strategien” (2015) Prof. Dr. Dr. Ayad Al-Ani
“The wonderful and terrifying implications of computers
that can learn” (2014) Jeremy Howard
“Convicing Employees to Use New Technology”
(2014) Harvard Business Review
“Unternehmen Lernen Online – Corporate Learning im Umbruch”
(2014) Roland Berger Strategy Consultants GmbH
“eQualification – Lernen und Beruf digital verbinden”
(2016) Bundesministerium für Bildung und Forschung
“DIGCOMP: A Framework for Developing and Understanding Digital
Competence in Europe” (2013) European Commission
“The Digital Talent Gap – Developing Skills for Today‘s
Digital Organisations” (2013) Capgemini Consulting
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from source
directory
© LRN LAB 2017 Page 20