2. 8 Intelligence Trends
T R E N D 1
Digitization provides
new insights
T R E N D 2
New disruptors affect
established industries
T R E N D 3
Increased use of external
data sources
T R E N D 4
Competitive disadvantage for
Europe with regards to AI and DA
T R E N D 5
Effect of the trade war on the
markets
T R E N D 6
Ecosystem analysis instead of
industry analysis
T R E N D 7
Despite AI, the human factor
still counts
T R E N D 8
Despite AI, the human factor
still counts
Read more about the trends on
the following pages
3. Digitization provides new insights
Better access to internal data such as transactional, sensor and behavioral data
provide new data analysis, enabling also analysis in combination with new external
information sources to determine supplementary correlations.
TREND 1
Challenge: Which data sets has our company newly accessed that we are
currently not yet using?
4. New disruptors
affect established industries
In addition to the well-known disruptors such as AirBnB, Uber or Netflix, new
start-ups are moving further and further into established economic sectors. This
represents both opportunities and threats for established companies. It will
be interesting to see who the most important competitor in the future will be.
Especially traditional companies should actively deal with this issue now.
Challenge: Imagine what would happen if Google entered our market
tomorrow?
TREND 2
5. Increased use of external data sources
Digitization means that new external data sets are captured and made available.
Whether it is import-export, weather, satellite or drone data. Offline information
is converted into processable online information. Linking these with existing data
sets leads to the identification of new contexts and additional insights that wasn’t
available before.
Challenge: What kind of external data could be of interest to our company?
TREND 3
6. Competitive disadvantage for Europe
with regards to AI and DA
Regulatory and social requirements are important. But from a business
perspective, personal data protection is very limiting. Compared to other countries,
Europe has massive disadvantages in terms of competitiveness in the field of
artificial intelligence (AI) or data analytics. Now most innovations happen in Asia,
especially in China.
Challenge: How do we succeed in conducting AI projects internally in
compliance with data protection regulations?
TREND 4
7. Effect of the trade war on the markets
The fragmentation of the global world into a multipolar world makes geopolitics a
volatile element with influence on every international market. Market assessments
are becoming more difficult: previous risk models must be revisited.
Challenge: Do we monitor current political developments in terms of their
impact on our company?
TREND 5
8. Ecosystem analysis instead of
industry analysis
Industry boundaries are disappearing, and new partnerships are being formed.
Therefore, it is important to not only keep an eye on your own market and your
main competitors, but also on the players in the extended ecosystem.
Challenge: Do we have an eye on our ecosystem?
TREND 6
9. Despite AI, the human factor
still counts
Artificial intelligence is on everyone’s mind, but first implementations are only
available in some areas. Algorithms require standardized routines and a high
number of test cases to be trained successfully. Classical analytical tasks, especially
the drawing of conclusions towards “so what?”, are still better handled by the
human brain.
Challenge: Have we internally defined use cases in which AI can support us?
TREND 7
10. The information overload continues
As the number of available data sources increases, the flood of information
continues to rise. This can only be countered by automating the information
acquisition process. In addition, the focus must be placed on business-critical
analysis. Existing reporting routines must be reviewed.
Challenge: Which established information processes could our company
eliminate, summarize, redesign and/or automate?
TREND 8
11. Everybody said, “ We can’t do it.”
A guy came along who didn’t know
that, and just did it.
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