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6 Mythsof AIOps Debunked (by SPLUNK)


How to cut through the hype and find real business value with machine learning, automation and predictive analytics (by SPLUNK)


Imagine you’re the mythological character Sisyphus, forced to roll a boulder up a hill. When it gets near the top, it always rolls back down, so you have to keep repeating the same futile exercise over and over. If you’re an IT professional in charge of a complex, hybrid environment, this scenario probably sounds familiar. Instead of helping move your organization forward, you spend most of your time constantly trying to pinpoint and fix one problem after another (eternally rolling boulders uphill).


Adding to the stress, all the pressure is on you to maintain system availability and performance to keep business leaders and customers happy.


You’re not alone. Across the world, IT professionals are in charge of an increasing number of servers and data coming in from disparate sources, and they’re using way too many monitoring tools to make sense of it all. The 2018 report Reducing Complexity in IT Infrastructure Monitoring: A Study of Global Organizations by the Ponemon Institute sheds light on the challenges of troubleshooting and monitoring cloud and on-premises environments. The Ponemon Institute polled 2,497 IT and IT security practitioners in the United States, the United Kingdom, Germany, France, Australia, Singapore and Japan about their infrastructure monitoring challenges.


AIOps brings unprecedented capabilities to help you do your job better while also improving your job satisfaction. But if you want to set off on the right path, you need to be careful what (and who) you believe.


If you want to read the complete book you can download here...

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About SPLUNK


Splunk is the world’s first Data-to-Everything Platform designed to remove the barriers between data and action, so that everyone thrives in the Data Age. We’re empowering IT, DevOps and security teams to transform their organizations with data from any source and on any timescale.


With more than 6,000 employees in 27 offices worldwide, we’re building a future where data provides clarity, elevates discussion and accelerates progress for innovators in IT, security, DevOps and more.

In Mática we want and we can help you to improve your decision making process, thanks to the transformation and the interpretation of your business data using Big Data technologies and Artificial Intelligence.

Contact us and find out how we can help you

we help to solve great impact and complex problems using data, technology and artificial intelligence in a responsible way.

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