If you’re actively looking for how to reduce IT operational cost while improving service availability and overall service performance, you need to learn about the value of AIOps. AIOps, Artificial Intelligence for IT operation uses advanced AI methodologies, machine learning and natural language processing to deliver enormous productivity gains to IT operations staff. How significant? An AIOps solutions from Vitria has been proven to:
- Detect problems before customer impact or before degraded service occurs
- Reduce time to restore service by 50%
- Deliver 20% efficacy improvements year over year
- Automate repetitive tasks like root cause analysis and incident triage, reducing manual workloads and human error
- Align IT operations with business goals, enhancing decision-making and resource allocation
How is this possible? The complexity and dynamics inherent in digital service delivery is outpacing human capabilities to meet customer experience expectations and committed service levels. Adding more monitoring tools and more eyes on those monitors is not a viable solution to become more efficient when faced with this ever-increasing volume, variety, and data velocity. What’s needed is process automation to augment and substitute human expertise with AI and machine learning (ML) methodologies in event monitoring and incident management process. AIOps process automation that’s powered by real-time analytics, AI and ML to accelerate incident response and resolution, automate repetitive tasks like root cause analysis and incident triage, and reduce manual workloads and human error is the solution. AIOps delivers the intelligence and automation needed to support a leaner, more efficient and effective IT operations staff.
AIOps ingests streaming data from devices, monitoring tools and telemetry, enriches this data in real-time and transforms it into instantly usable information. An effective AIOps solution monitors within and across service domains to detect faults and performance issues. ML- and AI-powered techniques are used to identify the issue and probable root cause along with the business impact. The right team is then automatically notified. In addition, using GenAI and Large Language Models (LLMs), recommendations for remediation are generated to accelerate teams’ abilities to correct the issue.
VIA Express, a Software as a Service (SaaS) AIOps solution from Vitria improves service availability, reduces time to resolve service issues and detects problems before they affect end customers or impair system performance. Vitria VIA Express is not just an IT tool—it’s a strategic enabler for operational excellence. By delivering measurable ROI, enhancing customer experience, automating processes, and scaling with ease, it empowers businesses to thrive in today’s digital-first world. VIA Express delivers end-to-end observability across the technology stack with intelligent automation and AI-generated insights to identify the root cause of issues and fix the problem, significantly improving satisfaction and loyalty. Whether you’re looking to reduce costs or accelerate innovation, VIA Express provides a competitive edge.
One response to “Capture the Big Wins – Cost Reduction and Performance Improvement with AIOps”
Through examples, I feel more connected :-), so let me add some real-world examples that illustrate the added value and benefits of VIA AIOps for different sectors.
VIA AIOps can deliver significant value across various industries by improving service availability, reducing operational costs, and enhancing overall efficiency.
For the proactive problem detection a Retail business can implement VIA AIOps to manage unexpected spikes in application response time. For instance, during a viral TikTok trend, VIA AIOps detected an increase in demand and recommended creating new instances of the application to handle the spike, ensuring smooth operations.
For faster service restoration, for example, in the healthcare sector, a healthcare organization may use VIA AIOps to monitor their cloud-based electronic health record (EHR) system. VIA AIOps can correlate alerts from various sources, identified the root cause of performance issues, and provided actionable insights, significantly reducing the time to restore services.
A financial institution could leverage VIA AIOps to automate repetitive tasks such as root cause analysis and incident triage, allowing IT staff to focus on more strategic tasks.
In telecommunications, a telecom company may use VIA AIOps to automate the incident management processes. By automating root cause analysis and incident triage, they will reduce manual workloads and human error, leading to a more reliable service delivery.
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Y para nuestra audiencia hispano-hablante, como siempre, os dejo el texto en castellano:
Mediante ejemplos, me siento más identificado :-), así que voy a agregar algunos ejemplos del mundo real que ilustran el valor añadido y los beneficios de VIA AIOps para diferentes sectores.
VIA AIOps puede ofrecer un valor significativo en diversas industrias al mejorar la disponibilidad del servicio, reducir los costes operativos y aumentar la eficiencia general.
Para la detección proactiva de problemas, un negocio minorista puede implementar VIA AIOps para gestionar picos inesperados en los tiempos de respuesta de la aplicación. Por ejemplo, durante una tendencia viral en TikTok, VIA AIOps puede detectar un aumento en la demanda y recomendar crear nuevas instancias de la aplicación para manejar el pico, asegurando, de esta manera, operaciones fluidas.
Para una restauración más rápida del servicio, por ejemplo, en el sector de la salud, una organización de salud puede usar VIA AIOps para monitorizar su sistema de registros médicos electrónicos (EHR) basado en la nube. VIA AIOps puede correlacionar alertas de varias fuentes, identificar la causa raíz de los problemas de rendimiento y proporcionar información útil, reduciendo significativamente el tiempo para restaurar los servicios.
Una institución financiera podría aprovechar VIA AIOps para automatizar tareas repetitivas como el análisis de la causa raíz y la clasificación de incidentes, permitiendo al personal de TI centrarse en tareas más estratégicas.
Una empresa de telecomunicaciones puede usar VIA AIOps para automatizar los procesos de gestión de incidentes. Al automatizar el análisis de causa raíz y la clasificación de incidentes, reducirá las cargas de trabajo manuales y los errores humanos, lo que llevará a una entrega de servicios más confiable.