Delivering Uninterrupted Digital Services at Speed Requires Predictive AIOps

The Payoffs of AI-Powered Service Operations

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What if you could predict the next service degradation or outage before it happens? By automating and optimising IT processes, Artificial Intelligence for IT Operations (AIOps) puts predictability, observability, and real-time decision in the hands of the IT operations team.

 

The need for organisational speed has never been greater. As companies race to reinvent themselves in the wake of the COVID-19 crisis, solutions such as Artificial Intelligence for IT Operations (AIOps) have emerged as powerful enablers of rapid innovation. 

Artificial Intelligence for IT Operations (AIOps) is the use of machine learning (ML) and artificial intelligence (AI) to automate and manage the digital complexity of modern IT operations processes. With AIOps, organisations can predict and proactively manage unexpected service issues. Not only does this prevent unplanned service outages, it also paves the way towards building a self-healing enterprise

But don’t take our word for it. In our latest whitepaper, IT operations visionaries, ServiceNow, builds the case for a new, AI-driven approach to IT service management. DOWNLOAD now to discover how AIOps:

  • Uses machine learning to deliver probability-based awareness, enabling operations teams to identify and address slow forming anomalies in advance before they become outages 
  • Considering the average cost of downtime is $5,600 per minute, can generate massive savings for your business by minimizing if not eliminating IT outages
  • Integrates and analyzes data from ITSM, ITOM and other IT management systems to automate complex decision making 
  • Reduces event noise by grouping and prioritizing alerts based on previously found patterns
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