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This is precisely why observability , rooted in automation and intelligence , is an essential foundation for digital government service optimization , enhanced IT performance and improved citizen outcomes .
AI makes an observable difference
Observability today is something that many organizations – government and private sector alike – still don ’ t have a proper handle on .
A recent survey of 700 global enterprise and public sector CIOs found 89 % do not have full observability into their application and infrastructure environments , and 87 % lack end-to-end observability into application and website user experience . infrastructure to networks , hosts , processes , services , apps and websites .
Next , AI can go to work learning what ‘ normal ’ looks like , determining whether a problem is likely to impact users , and then performing root-cause analysis to help IT teams understand what went wrong .
These same insights could in time be used to optimize digital experiences , automate cloud operations and free up the time of developers to focus on value creation rather than routine tasks . p
Hope Powers , Vice President – ANZ , Dynatrace
Around half ( 49 %) of these global CIOs also say they have limited visibility into how digital services are performing from a user perspective .
More than two-thirds recognize the need for a radically different approach to observability as they drive Digital Transformation further than ever before . This is why organizations are increasingly turning to AI and automation to achieve end-to-end observability at scale .
These efforts must begin with automatically discovering and mapping all the components and dependencies of the technology stack – from the underlying
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