AI and machine learning
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The interest in adding Artificial Intelligence (AI)
and Machine Learning (ML) to business models is
fast gaining momentum as organisations look to
find patterns within their data that can deliver
greater business and customer intelligence, and
predict future trends.
Peter Ruffley
CEO
Zizo
As Gartner highlights, the number of enterprises
implementing AI tripled in the past year. However, with
Gartner also claiming that more than 30% of data centres
that don’t deploy AI and machine learning won’t be
operationally and economically feasible by 2020, Peter
Ruffley, Chairman at Zizo, discusses how we can best use AI
and what its role is within the data centre.
The promise of AI
At present, the IT industry is doing itself no favours by
promising the earth with emerging technologies, without
having the ability to fully deliver them, see Hadoop’s story
with big data as an example - look where that is now.
There is also a growing need to dispel some of the myths
surrounding the capabilities of AI and data led applications,
which often sit within the c-suite, that investment will give
them the equivalent of the ship’s computer from Star
Trek, or the answer to the question ‘how can I grow the
business?'. As part of any AI strategy, it’s imperative that
businesses, from the board down, have a true understanding
of the use cases of AI and where the value lies.
If there is a clear business need and an outcome in mind
then AI can be the right tool. But it won’t do everything for
you – the bulk of the work still has to be done somewhere,
either in the machine learning or data preparation phase.
AI ready vs. AI reality
With IoT, many organisations are chasing the mythical
concept of ‘let’s have every device under management’.
But why? What’s the real benefit of doing that? All they
are doing is creating an overwhelming amount of low
value data. They are expecting data warehouses to store a
massive amount of data. If a business keeps data from a
device that shows it pinged every 30 seconds rather than
a minute, then that’s just keeping data for the sake of it.
There’s no strategy there. The ‘everyone store everything’
mentality needs to change.
One of the main barriers to implementing AI are the
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