Empowering AI with Knowledge for an Autonomous Future

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Autonomous Network Operations

Operational Intelligence

VIA AIOps understands the context of massive service ecosystems
to detect, diagnose, and remediate incidents
with unprecedented precision

Move beyond observability to high-value operational intelligence across operational silos with VIA AIOps

Business
Impact

Real time visibility of drivers impacting services, costs, and revenue

Customer
Intelligence

Identifies impacted customers, notifies care agents and customers Enables future spend to be based on customer impact

Total Ecosystem
Observability

Health and performance correlated across all layers of the technology stack functions and people

Data
Intelligence

Enables the auto discovery of system topology and relationships between system components

Maintenance
Intelligence

Monitors and detects changes and their impact on system, resources, and customers

Advanced
AIOps

Reduces mean time to repair through the early detection of incidents, the correlation of related incidents and root cause analysis

Intelligent
Automation

Recommends and automates an incident “likely fix”, transforms operations and the customer experience, delivers foundational efficacy changes

VIA AIOps delivers the process automation capabilities needed to transform IT operations with a new service assurance operating model across the service delivery ecosystem.

Network monitoring and network performance
Application monitoring and application performance
Dedicated, hybrid in-house, and cloud infrastructure monitoring and performance
The credible pathway to a zero-touch network

Agentic AI, Knowledge-driven AIOps Pipeline

The VIA AIOps integrated analytics pipeline that accelerates the journey to level 5 autonomous networks
The VIA AIOps integrated analytics pipeline that accelerates the journey to level 5 autonomous networks

Autonomous Knowledge Acquired from Telemetry Data

  • VIA AI acquires entities and topology knowledge from telemetry
  • Review of results by humans (optional)
  • Knowledge uploaded to VIA AIOps
  • An agent uses knowledge to automatically set configurations
  • Another agent uses this knowledge in causal analysis

Generative Al is a game changer for AlOps.

Natural Language interactions

  • Empower new user communities by eliminating learning curves using Natural Language.

ChatOps

  • Provides complete “Situational Awareness” of ongoing problems and incidents — causes and impact
  • Elevated multi-user collaboration through popular chat platforms, enhanced with data-driven ChatOps insights..

Likely Fix

  • Empower new user communities by eliminating learning curves using Natural Language.

ITSM Tickets and other knowledge bases are harvested to “augment” the Vitria Generative AI knowledge.

Unleash inherent knowledge in troves of unstructured data that have been difficult/impossible to leverage in the past.

ChatOps and GenAI
Integrated with AIOps
Transforms Operations and the Company

GenAI-driven ChatBots

Provide disruptive power non-disruptively.

Transform operations through ChatBots integration.

Empower new user communities by eliminating learning curves.

GenAI and LLMs do more than ChatBots

LLMs unleash troves of unstructured data that have been difficult to fully leverage previously

Searching and synthesizing unstructured data through a chat-based interface provides a natural access method for powerful but underutilized corporate knowledge based for numerous use cases.

Process Automation Capabilities

Total Ecosystem Observability and Knowledge Sharing

Data Collection

Ingests streaming data from
devices, monitoring tools and
telemetry.

Data Enrichment

Knowledge continuously mined from diverse sources autonomously discovering hidden dependencies and using advanced semantic analysis builds dynamic ontologies that power knowledge-driven Agentic AI.

Monitoring

Monitoring and sharing knowledge within and across service domains for fault and performance management.

Knowledge-Driven Agentic AI

Understands the connected systems from infrastructure to network to services to revenue.

Incident Management Across Service
Domains

Triage and Fault Detection

AI powered correlation, signal
grouping, early outlier
identification, correlation to
customers’ experience.

Incident Declaration
and Root Cause Analysis

Automatic incident declaration
with probable root cause, key
systems, location, and
customers impacted defined.

Remediation and Closure

Availability of remediation
recommendations and
automatic closure of tickets
with communication to
downstream systems
impacted.

Remediation Automation and Continual Improvement

Continuous Improvement

Continuous learning and
automatic model improvement
over time.
Autonomous knowledge plane transforms telemetry data into a semantic model that enables understanding.

Autonomous Cross-Domain Service Orchestration and Healing

An intelligent engine converts diagnostics into a multi-step recovery plan, adapting to real-time states to ensure safe, automated restoration.

Service Elasticity

Real-time bandwidth and resource allocation ensure traffic spikes are managed autonomously.

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