Open Source For You — December 2017

(Steven Felgate) #1
maturity of the organisations. More
organisations that adopted AI solutions
have moved into the later stages of
information DX maturity, which is
then managed and optimised by AI.
To promote digital transformation that
utilises IoT and cognitive systems,
it is important for user companies
to cultivate an ‘agile’ mindset. For
instance, it is necessary to determine
the ROI while using IoT and cognitive
systems in actual situations.

Q


How do you see the
growth of machine
learning and deep learning in
the growing space of AI?
IDC predicts that by 2019, all
effective IoT efforts will merge
streaming analytics with machine
learning trained on data lakes
and content stores, accelerated
by discrete or integrated
processors. An increase in the use
of machine learning will lower
reliance on the programmatic
model of development.

Q


There is a belief
that AI will one day
become a major reason for
unemployment in the IT world.
What is your take on this?
AI must be viewed in a holistic
manner. Having said as much,
AI and cognitive developments
are expected to make significant
inroads into hitherto unchartered
and mostly manual/human domains.
IDC predicts that by 2022, nearly
40 per cent of operational processes
will be self-healing and self-
learning— minimising the need for
human intervention or adjustments.
Additionally, as IDC recently
forecasted, as much as 5 per cent of
business revenues will come through
interaction with a customer's digital
assistant by 2019.
All this merely proves that
AI will increasingly complement
businesses in driving new and more
authentic experiences while also
driving business value.

Q


What are the obstacles
slowing down the growth of
AI nowadays?
The primary barriers to AI solutions
include a shortage of skill sets, an
understanding of vendor solutions,
governance and regulatory implications.

Q


Do you think companies like
Apple, Facebook, Google and
Microsoft will take the current
AI model to the next level in
the future?
Amazon, Google, IBM and Microsoft
certainly have the largest mindshare in
the Asia-Pacific region. But domestic
platforms, such as Alibaba PAI and
Baidu PaddlePaddle are even better
known in local markets. Also, the
IBM Watson platform has a larger
mindshare compared with that of
other bigger organisations.

Q


Why should enterprises
focus on enabling AI
advances to move towards a
profitable future?
Increased employee productivity and
greater process automation are the
most common expectations among
organisations adopting or planning to
adopt AI solutions. AI is presumed to
bring significant business value to half
of the organisations in the APAC region
within two years. Customer service
and support are the business processes
that receive the most immediate
benefits, whereas supply chain and
physical assets management see
the least urgency.

IDC predicts that by
2022, nearly 40 per
cent of operational
processes will be
self-healing and self-
learning — minimising
the need for human
intervention or
adjustments.

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