Page 112 - ΝΑΥΤΙΚΑ ΧΡΟΝΙΚΑ - ΟΚΤΩΒΡΙΟΣ 2024

GREEN SHIPPING / SURVEY

Strongly agree
8%

Disagree Strongly disagree
25% 2%

Neither disagree
nor agree
13%

Agree
52%

Machine learning, AI, and hard skills are 8% strongly agree. 27% either disagree Figure 7
of critical value for the future or strongly disagree while 13% remain “To what extent do you agree or
The accelerating pace of technologi- neutral. disagree with the following statement:
In light of the upcoming environmental
cal development, with artificial intelli- Circling back to the survey’s first regulations, investing in green
gence applications currently being at question regarding the most impor- technologies and alternative fuels is
its forefront, adds an additional layer to tant challenge the industry is facing supplemental to investing in machine
learning, artificial intelligence, and
the discussion about shipping’s energy in terms of achieving the goal of green other hard skills”
transition. shipping, a very interesting finding
Perhaps, apart from investing in green emerges when considering only the
technologies and alternative fuels, we responses of the participants who
should also focus on the industry’s dig- “agree” or “strongly agree” with the
italisation. Artificial intelligence currently above statement.
appears to have endless potential. As a Of these participants, only 38% believe
result, the digitalisation of shipping may that the availability of alternative fuels
be able to contribute to the energy tran- is the most significant challenge. The
sition in ways we do not yet fully grasp. corresponding percentage for the total
The participants were asked to rate sample is 54%.
(from 1 to 5) the extent to which they 31% consider the maturity of existing
agree with the following statement: “In technologies the most significant chal-
light of the upcoming environmental lenge (compared to 25% for the total
regulations, investing in green technol- sample), while 28% consider profitabil-
ogies and alternative fuels is supplemen- ity as the primary challenge (compared
tal to investing in machine learning, arti- to 19% for the total sample). Finally,
ficial intelligence, and other hard skills”. 3% consider the inadequate legisla-
Most participants agree with the state- tive framework as the most important
ment: 52% of participants agree and challenge.

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