Industries get more from automation with an intelligent platform

By | 1 minute read | March 19, 2019

If your enterprise is implementing or considering hybrid cloud automation, you know what you stand to gain. IT automation offers many benefits to both customer-facing and back-office processes — the question is, how will those benefits translate into lower costs, greater profitability and better outcomes? Is the juice really worth the squeeze?

Automation aided by supporting technologies

One major advantage of automation is that it can improve the maintenance and reliability of your complex systems. Whether you work in transportation, manufacturing or a data-driven industry like finance or healthcare, automated management can help optimize your overall IT performance. That said, simply throwing IT automation at a problem is not going to be much help. There are four key enabling technologies designed to help your business get the most out of automation:

  • Cognitive analytics: Forecast potential trouble spots to prevent catastrophic events. Maximize uptime and identify places for improvement in performance and safety.
  • Real-time pattern recognition: Automated systems assess a constant flood of data for better insight into system health.
  • Dynamic automation: Instead of waiting for instructions to be entered manually, a dynamic system can take corrective action on its own, including removing a failing component from service, shifting loads to nearby components or alerting maintenance crews long before a failure occurs.
  • Continuous compliance: Improve the life cycle of complex systems and ensure that they are compliant with variable regulatory standards.

Intelligent automation in action

A cognitive system is only as good as the data it can access. A modern data lake is necessary to ensure data is not only stored and conditioned properly but mined quickly and efficiently. And data environments are quickly becoming too large and complex for manual, human-guided oversight, which brings us to the cognitive engine itself. It must be capable of learning all aspects of managing your hybrid cloud infrastructure in order to make autonomous decisions regarding systems and client support.

Speaking of engines… Consider BNSF Railway, one of North America’s largest railroads. BNSF manages more than 32,000 miles of track crisscrossed by 1,400 trains every day. With the help of IBM Services Platform with Watson predictive analytics and dynamic automation capabilities, BNSF leverages data from thousands of sensors on trains and alongside tracks to improve safety and reliability in real time.

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