List of Vitria VIA AIOps Customers
Menlo Park, 94025, CA,
United States
Since 2010, our global team of researchers has been studying Vitria VIA AIOps customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Vitria VIA AIOps for Analytics and BI, Process Mining from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Vitria VIA AIOps for Analytics and BI, Process Mining include: AT&T, a United States based Communications organisation with 146040 employees and revenues of $122.43 billion, Deutsche Bank, a Germany based Banking and Financial Services organisation with 89879 employees and revenues of $35.69 billion, O2 UK, a United Kingdom based Communications organisation with 68000 employees and revenues of $7.71 billion and many others.
Contact us if you need a completed and verified list of companies using Vitria VIA AIOps, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Vitria VIA AIOps customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
Apply Filters For Customers
| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight | Insight Source |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
 |
AT&T | Communications | 146040 | $122.4B | United States | Vitria | Vitria VIA AIOps | Analytics and BI,Process Mining | 2004 | n/a | In 2004, AT&T engaged Vitria technology for telecom operations and service assurance in the United States, a historical relationship recorded against Vitria BusinessWare and Operational Intelligence. The historical listing of Vitria BusinessWare/Operational Intelligence aligns with Vitria's later platform evolution, and the association with Vitria VIA AIOps is inferred from that product lineage, indicating continuity from operational intelligence to AIOps capabilities. The implementation context centers on the application class Vitria VIA AIOps within the Analytics and BI,Process Mining category, suggesting deployed capabilities for cross‑domain detection and root‑cause analysis. Functional modules implied by the record include real‑time event correlation, operational intelligence dashboards, and process mining workflows to trace order and network process interactions relevant to service assurance. Integrations documented in the historical note explicitly include monitoring systems, order processing, and network process flows, indicating the solution operated across network operations, service assurance, and order management functions. Operational coverage was focused in the United States and targeted telecom operations use cases where converging event streams and process telemetry support incident identification across domains. Governance and operational workflows appear to have been structured around service assurance teams, with tooling intended to surface cross‑domain incident signals and accelerate root‑cause analysis. The narrative is explicit that the move toward Vitria VIA AIOps was intended to improve cross‑domain detection and root‑cause analysis for network incidents, reflecting an emphasis on analytics driven incident triage within AT&T's operational model. | |
|
|
Deutsche Bank | Banking and Financial Services | 89879 | $35.7B | Germany | Vitria | Vitria VIA AIOps | Analytics and BI,Process Mining | 2013 | n/a | In 2013, Deutsche Bank implemented Vitria VIA AIOps as the core technology for a global integration platform internally branded dBus. The deployment targeted Analytics and BI,Process Mining capabilities to centralize event and process visibility across divisions and to provide consolidated operational insight for finance operations. The implementation mapped Vitria BusinessWare components to Vitria VIA AIOps capabilities, focusing on real time event integration, event correlation and process monitoring workflows consistent with Analytics and BI,Process Mining use cases. Configuration work emphasized streaming event ingestion, canonical message handling on the dBus platform and analytics instrumentation to support process mining style analysis of operational flows. dBus functioned as a centralized integration bus architecture that integrated disparate operational support and business systems, with operational scope concentrated on finance operations while extending visibility across global divisions. Integrations were non invasive and routed operational events and transactional notifications into the Vitria VIA AIOps environment so that process telemetry could be aggregated and analyzed from a single platform. Governance was organized to reduce the need for additional distributed application development in finance operations, by routing new integration requirements into the centralized platform and adapting operational workflows to publish events to the dBus. The project aimed to shift event and process visibility to the Vitria VIA AIOps instance to enable consolidated Analytics and BI,Process Mining workflows without introducing additional bespoke finance applications. | |
 |
O2 UK | Communications | 68000 | $7.7B | United Kingdom | Vitria | Vitria VIA AIOps | Analytics and BI,Process Mining | 2013 | n/a | In 2013, O2 UK deployed Vitria VIA AIOps as part of a Vitria Operational Intelligence initiative to gain real time visibility into customer experience, aligning the implementation with the Analytics and BI,Process Mining category. The deployment was explicitly focused on correlating high rate network events with customer and device data to enable proactive detection and resolution of service quality issues across the UK. The implementation leveraged event correlation and real time analytics capabilities within Vitria VIA AIOps to ingest streaming network telemetry, correlate it with customer and device identity attributes, and surface anomaly detection and alerting. Configuration emphasized continuous streaming correlation, rule based detection, and operational dashboards to provide network level customer experience visibility and faster detection workflows. Operational scope included network operations and customer care functions in the UK, with the solution consuming network event feeds and customer/device data to populate investigative context for incidents. The deployment was used to operationalize alerts into existing operations workflows, improving situational awareness in network operations centers and enabling customer experience teams to prioritize service quality responses. Governance and runbook changes focused on centralized monitoring and alert triage based on correlated customer impact rather than isolated network alarms. The engagement delivered faster detection and improved network level customer experience visibility according to the implementation details provided, and Vitria VIA AIOps was the named application delivering those capabilities. |
Buyer Intent: Companies Evaluating Vitria VIA AIOps
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
|---|---|---|---|---|---|---|---|---|
| No data found | ||||||||