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CA Technologies’ Chris Kline shares how to adopt an AIOps strategy in a DevOps world. Chris shares how AIOps enables a move away from siloed operations management and provides intelligent insights that drives automation and collaboration for continuous improvement. Since AIOps leverages big data, data analytics and machine learning to provide insight and enable a higher level of automation, no longer does IT Ops need to depend extensively on human operators for the management tasks that modern infrastructure and software require.
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Hear LinkedIn’s senior SRE, Todd Palino, share how the company continually improves the state of its infrastructure, so that the developers who are rolling out applications have a framework that they can do it within, and they can do it safely. LinkedIn currently generates over 50 terabytes a day of unique metrics on applications. No human is going to look at 50 terabytes a day of data and get anything useful out of it, so LinkedIn relies on systems give them some useful signal out of all that noise. By moving down the road of machine learning, LinkedIn can now do anomaly detection using machine learning models.
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Avis Budget Group has revealed new independent research surveying 14,000 people in 14 countries across Europe highlighting a significant knowledge gap in consumer understanding around the future of mobility, with marked differences in awareness and understanding between countries and age groups.
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Around 26% of existing jobs in China could be automated over the next 20 years, but this is projected to be more than offset by job creation of 38%, giving an estimated net gain of 12%.
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Capgemini's World Quality Report 2018 shows that customer experience is the top priority for quality assurance activities for the very first time, with automation and AI set to accelerate in the coming years.
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