Intelligent Operations
Enhance customer experience, lower cost, and improve operational efficiency with VIA AIOps
VIA AIOps enables a new service assurance operating model and a new way of working through automation powered by real-time analytics, artificial intelligence, and machine learning.
North American MSO Enables Intelligent Operations with Natural Language Processing and GenAI-Based ChatOps
Breakdown Operational Silos and Improve Response and Resolution Time
- Eliminates miscommunication and resulting ping-pong issue movement from one fix team to another
- Integrates with existing communication tools
- Enables AIOps info access without need to onboard a new UI
- Reduces miscommunication & fosters transparency
- Find root cause and the right fix quickly accelerating both incident response and resolution time
Tier 1 MSO
Uses GenAI to Empower Likely Fix Recommendations
Automate incident management process and reduce cost
- GenAI recognizes patterns in data that may not be immediately apparent to humans
- Enables continuous leaning and codification of subject matter expertise
- GenAI quickly analyzes large datasets, provides recommendations in real-time
- Delivers end-to-end incident resolution process automation
- Reduces time and cost associated with root cause analysis and the determination of the right fix
Leading Network Operator uses VIA AIOps for Automated Incident Management
Transform Fault Management with Process Automation
- Monitor and analyze syslog, trap, and alarms events from physical and virtual hosts within and across technology layers and applications in real-time
- Enriches data through contextualization using machine-learned topologies and dimension discovery analysis
- Automatically generates baselines for every metric and dimension combination to detect faults more accurately
- Aggregates as appropriate multiple signals though process automation that may appear across service domains to a single incident
- Process automation powered by AI and machine learning defines probable root cause, symptoms and population impacted for rapid action and resolution
- Communicates bidirectionally with service management systems
An Over-the-Top Video Service Provider Improves Customer Experience with VIA AIOps
Transform Performance Management with Process Automation
- Monitor and analyze KPI time-series data from elements & applications
- Unified data collection and analysis in cloud-native environments
- Cloud monitoring for performance across clusters vertically and horizontally without human intervention
- Detects service performance and customer-impacting incidents earlier with machine-learned baselines, machine-learned topologies, and stochastic modelling
- Eliminates multiple teams working on the same root cause through affinity analysis
- Process automation defines root cause, symptoms and population impacted to enable faster action
- Prescribes next best action for incident remediation or prevention
Top-Tier Cable Operator uses VIA Ops to reduce cost and improve DevOps and change assurance processes
Transfrom Change Assurance and Improve DevOps and CI/CD Processes
- Discover dependencies with total ecosystem observability
- Detect change to an entity’s attribute (e.g., subscriber’s device or element’s firmware)
- Correlate alarms, events, incidents and change tickets
- Monitor for and detect customer experience impact
- Automate response with early anomaly detection resulting from change
- Improves CI/CD Processes with the addition of AIOps
Router Failures Diagnosed in a 5G Network Accelerates Incident Response and Resolution
Detecting Isolated Access Routers
- Restore network outage in affected area quickly.
- Situational knowledge graphs displayed with discovered dependencies showing known and discovered links.
- Generative AI to accurately determine the likely fix.
- Knowing the cause and likely fix reduces remediation time and mitigates the impact of the problem.
- Integration to the IVR system enables auto deflection of incoming customer complaints.
- Ticket triaging to field operations and informing them to dispatch a technician to resolve the issue.
- Customer complaints requiring care agent responses proactively deflected, reducing costs and improving customer experience.
Issues in Application Performance Identified and Resolved Fast
Memory Leaks Identified with Cause-and-Effect Relationships Understood
- VIA AIOps platform automatically builds, an ontology for the application technology stack capturing the relationships between the Kubernetes entities (application micro-services, containers, pods and nodes).
- Cause and effects signals are correlated together including service tickets and in-app feedback.
- GenAI and VIA AI with Knowledge™ provides troubleshooting and fix recommendations.