Automation and highly scalable elastic architecture combining observability and anomaly detection at the heart of innovative enterprise IT transformation initiatives
MENLO PARK, Calif., Nov. 12, 2024 /PRNewswire/ — Vitria Technology, the developer of VIA AIOps, an agile AI platform for operational intelligence at massive scale, today published a podcast examining how AIOps leveraging AI and ML are rapidly improving service assurance across industries – telecommunications in particular. Randy Burke, telecommunications executive with Charter, Comcast, and ATT joined Dale Skeen, CTO and co-founder of Vitria Technology to discuss how to operationalize AIOps at scale.
For decades telecommunications service delivery has been challenged by inherent complexity associated with technical issues emanating from the last mile, metro and backbone networks, complex applications, native cloud and public cloud with hundreds of touchpoints across the ecosystem. The industry response was an endless supply of monitoring and observability tools that did not solve the problem.
With the maturation and adoption of AI and ML, a new breed of AIOps solutions has emerged that is reversing previously held beliefs about the efficacy of AI and ML, and time-to-value. They are much better equipped to understand service performance and have elevated AIOps far beyond an observability tool to an automated solution for detecting and repairing anomalies, which is at the heart of next generation service delivery and critical for digital transformation initiatives.
“Successful digital transformation requires a modern AIOps solution, not just an observability tool,” Skeen said. “With observability, you can see what the problem is. With VIA AIOps, you not only can see the problem, but you are also delivered the insights to fix the problem – insights generated by AI-based correlation, root cause analysis, and likely fix recommendation. With a highly elastic architecture that is efficient and cost effective at any scale, VIA AIOps delivers the observability, AI-generated insight, and automation required to detect and act on anomalous behavior across service-delivery technology stacks. Modern AIOps solutions are not only important for Telecom industry, but for any industry having stringent service assurance requirements and complex technology stacks, including Financial Services, Managed Services Providers, Energy, Transportation, and Network Operations Centers.”
Improving operational efficiency is crucial for service providers requiring high levels of service assurance. Over the years, Vitria’s VIA AIOps Platform has demonstrated the significant benefits of advanced AI and ML technologies, achieving outstanding results such as a 60% improvement in service availability, an 80% reduction in time to resolve service degradation issues, and 92% of incidents being detected before affecting customers. Production deployment typically take less than 60 days, with measurable ROI achieved in less than 30 days,
“The days of a monolithic, my platform will do everything for everybody are over,” Burke said. “You need to be able to tap directly in and integrate into existing workflow, scheduled maintenance, and customer facing customer systems. And the ability to federate within your environment quickly with easy plug-in is mandatory. The goal should be to detect issues at least 20 minutes before customer impact.”
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