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 infrastructure problem


AIOps tools portend automated infrastructure management

#artificialintelligence

Automated infrastructure management took a step forward with the emergence of AIOps monitoring tools that use machine learning to proactively identify infrastructure problems. Orchestration tools are becoming increasingly popular as part of the DevOps process as they allow admins to focus on more critical tasks, rather than the routine steps it takes to move a workflow along. Our experts analyze the top solutions in the market, namely: Automic, Ayehu, BMC Control-M, CA, Cisco, IBM, Micro Focus, Microsoft, ServiceNow, and VMware. You forgot to provide an Email Address. This email address doesn't appear to be valid. This email address is already registered.


The automated city: do we still need humans to run public services?

#artificialintelligence

Lamp lighters once performed a vital service for Londoners. Every evening as dusk fell they lit the gas lamps that illuminated the city's shadowy streets, returning just before dawn to extinguish the flames. It was a respectable job, often passed from father to son. But, apart from the small band of British Gas engineers who maintain the 1,500 gas lamps still clustered around the royal parks, Westminster and Covent Garden, lamp lighters are now a thing of the past, their jobs snuffed out by automated timers and electricity. The lamp lighters are part of a wider narrative that shapes every city: technological change. Scientific advances and new technologies often enable dramatic improvements in public services and urban life, eradicating some jobs while creating new types of employment.