Integrating AI with Network Automation & Orchestration
Enhance network automation with AI-driven intelligence for predictive, adaptive, and autonomous operations.
Enhance network automation with AI-driven intelligence for predictive, adaptive, and autonomous operations.
AI and AIOps are revolutionizing network operations by enabling predictive insights, proactive decision-making, and autonomous actions. However, without automation, AI-driven recommendations remain just insights — unable to drive real operational improvements.
Itential seamlessly integrates AI and AIOps tools with network automation and orchestration, ensuring that AI-powered intelligence translates into real, safe, and scalable network actions.
AI and AIOps solutions offer unique capabilities for deriving insights from large amounts of data. Implementing AI systems for use cases like predictive analytics and network forecasting has the potential to deliver transformative benefits.
However, AI and AIOps systems alone lack the contextual network understanding required to act on the insights they deliver. An AIOps solution will monitor network data streams to observe trends and draw conclusions, but these outputs don’t inform the system of the steps required to respond. For example, if an AI system predicts a traffic spike due to past trends, it will not then be able to perform the steps required to re-route some traffic in accordance with change controls, security, standards, etc.
Itential’s platform seamlessly combines AI and AIOps capabilities with network orchestration to enhance efficiency, reliability, and scalability in network operations. Users can incorporate the valuable insights AI systems deliver into workflows that can span all infrastructure and orchestrate the processes required to act on AI-powered insights.
To fully realize the benefits of AI-driven automation, organizations need a platform that bridges the gap between AI intelligence and actionable network orchestration.
AI and AIOps enhance automation by enabling data-driven decision-making, allowing networks to adapt intelligently to changing conditions. Itential ensures that AI-powered insights are seamlessly integrated into automated workflows, enabling:
Itential’s architecture enables seamless integration between AI/AIOps systems and network automation through a structured three-layer model:
Northbound Integration Layer
Connects external consumers like NLP systems and AIOps platforms to Itential, translating high-level intents into executable workflows.
Orchestration Layer
The core of the Itential Platform, where workflows run, insights are applied, and AI analyzes execution data to optimize performance, throughput, and workload prioritization.
Southbound Resources Layer
Manages network resources and domains, leveraging AI/AIOps to optimize utilization, align performance with operational goals, and control costs.
This architecture ensures seamless communication between AI/AIOps tools and network automation processes, allowing for dynamic adjustments and continuous improvement.
AI-driven automation must be scalable, adaptable, and seamlessly integrated into existing network and IT environments. Itential enables vendor-agnostic automation, connecting AI, AIOps, observability, and telemetry tools for real-time insights and automated responses.
AI models generate intelligent recommendations, but without orchestration, they cannot be safely acted upon. Itential integrates AI insights with compliance rules, change management protocols, and approval workflows to ensure automated actions are executed securely.
AI-driven automation must function across diverse, complex networks. Itential’s platform ensures that AI/AIOps insights are applied consistently across hybrid, multi-cloud, and traditional environments.
AI predicts network congestion, security threats, and resource constraints — Itential enables real-time orchestration of traffic routing, load balancing, and resource allocation.
To fully harness the power of AI and AIOps in network automation, organizations need real-time visibility, actionable insights, and intelligent automation that works across the entire IT ecosystem. AI-driven decisions are only as effective as the data that fuels them, and integrating telemetry, observability, AIOps, and analytics tools ensures that automation is both informed and proactive.
By combining these technologies with Itential’s automation and orchestration platform, organizations can achieve smarter, self-optimizing networks that dynamically adapt to changing conditions, resolve issues before they impact performance, and continuously improve efficiency at scale.
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