Networks Europe Jul-Aug 2020 | Page 56

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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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