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AIOps is an emerging technology which offers the promise of helping IT and data centre teams get to grips with the growing complexity of their respective infrastructure environments – with the ultimate objective of ensuring application performance optimisation. In this issue of Digitalisation World, you’ll find a variety of thoughts and opinions as to just what AIOps offers, and why it matters.
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AIOps is an emerging technology which offers the promise of helping IT and data centre teams get to grips with the growing complexity of their respective infrastructure environments – with the ultimate objective of ensuring application performance optimisation. In this issue of Digitalisation World, you’ll find a variety of thoughts and opinions as to just what AIOps offers, and why it matters. Part 1.
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As the digital landscape grows ever more complex, companies across all industries must keep up with the constant shifts in how data is created and utilised. According to a study from the International Data Corporation (IDC), 45 percent of all data created by IoT devices will be stored, processed, analysed and acted upon close to or at the edge of a network by 2020. By Alan Conboy, Office of the CTO, Scale Computing.
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In the same month it was announced that computer pioneer, codebreaker and the father of Artificial Intelligence (AI), Alan Turing, will feature on the new design of the Bank of England's £50 note, a report from IDC suggests that spending across Europe will hit $5.2 billion in 2019 up from 2018 by 49% and expected to rise to $13.5bn by 2022.
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AI in healthcare is finally moving beyond speculation and is set to bring possibilities that extend past providing diagnostic assistance to doctors. In fact, according to an Accenture report, growth in the AI healthcare market is expected to reach $6.6 billion by 2021, a compound annual growth rate of 40 percent. By Mikael Huss, Data Scientist at Peltarion.
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By Joey Moore, Head of Evangelism, EMEA & APAC, Episerver.
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