FEATURE : MACHINE LEARNING
THE BIGGEST ISSUE WITH MACHINE LEARNING IS THE DATA SCIENCE SKILLS REQUIRED TO IMPLEMENT AND THE ABSOLUTE NECESSITY TO ENGAGE THE SUBJECT MATTER EXPERTS WITH DEEP FAMILIARITY OF THE PROBLEM SPACE .
Ramprakash Ramamoorthy , Director , AI Research , ManageEngine , said since the onset of the pandemic , the first touchpoint for many businesses has been digital . Ramamoorthy said organisations must remain digitally competitive to stay afloat , and they achieve this by implementing newer technologies like Machine Learning . He said another factor is the ongoing AI summer , during which there have been a lot of investments in AI and other associated technologies , which in turn has increased the adoption of Machine Learning across the globe .
Ramamoorthy pointed out that because Machine Learning enables enterprise software to move from process automation to decision automation , using Machine Learning involves rewriting current , traditionally deterministic processes and workflows to make them probabilistic . have to . That approach assures it is easier and faster to do Machine Learning implementations on specific equipment with an application that scales rapidly and easily , meaning faster time to cash for many assets . The alternative is a pure Machine Learning approach on a specific Machine Learning platform that takes the user nowhere near the problem space where every application is an open project every time complete with fragility and grand requirements for domain expertise .”
With Machine Learning witnessing enterprise-wide adoption of the technology in various business environments across MEA , organisations are being urged to establish a business case before embarking on any project .
“ For instance , a traditional anomaly system uses the bell curve to identify anomalies , whereas an Machine Learning-powered anomaly system identifies anomalies along with the probability of an outage occurring . CIOs have to drive these changes and incentivise teams to use and integrate new technologies like ML into their everyday workflows by citing the impact they could have on business growth ,” he said .
Walid Issa , Senior Manager , Pre-sales and Solutions Engineering – Middle East Region , NetApp , said Artificial Intelligence and Machine Learning have moved beyond the realm of concept into real-world application , representing the great opportunity to stay competitive , drive growth , and cut costs .
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