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Machine learning (ML) has been often touted as the big thing that can solve nearly every problem. ML hype has washed over all walks of life - from business to academia. However, it has caused tunnel vision as businesses try to apply machine learning to context where other solutions would work better. By Juras Juršėnas, Chief Operations Officer at Oxylabs.io
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Powerful new allies have emerged for boardrooms looking to streamline IT service management and reduce costs. By Mark Twomey, CEO, Xcession.
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The need for value stream visibility is not a nice-to-have, it is a business necessity whether you are running a kitchen or leading a digital transformation. By Andrew Davis, Copado.
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Throughout the past year, the series of lockdowns and continued uncertainty have brought new focuses under the spotlight. Indeed, the pandemic has not only led to a preoccupation with public health, but has also dramatically altered the way people work, live and interact, with digital experiences brought to the fore front. Naturally, this has influenced customer behaviour. By Ash Finnegan, digital transformation officer, Conga.
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Adding new monitored elements is a long and complicated process. Even the most highly trained and experienced teams find it difficult to sustain consistent observation and service levels across the SAP installation with its accompanying dissimilar system elements. By Heiko Mannherz, Chief Innovation Officer, Avantra.
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Securing the right observability tools will help enterprises get control over their software and spot problems before they become a more widespread issue. By Stela Udovivic, Director of Product Marketing, VMware Tanzu
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