Kumbakonam, 612001,
India
City Union Bank Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by City Union Bank and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 5367 City Union Bank employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that City Union Bank has purchased the following applications: Amazon EC2 for Application Hosting and Computing Services in 2020, Cisco Webex Meetings for Audio Video and Web Conferencing in 2017, Avaamo AI Platform for Chatbots and Conversational AI in 2017 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems City Union Bank is running and its propensity to invest more and deepen its relationship with Amazon Web Services (AWS) , Cisco Systems , Avaamo or identify new suppliers as part of their overall Digital and IT transformation projects to stay competitive, fend off threats from disruptive forces, or comply with internal mandates to improve overall enterprise efficiency.
We have been analyzing City Union Bank revenues, which have grown to $277.2 million in 2024, plus its IT budget and roadmap, cloud software purchases, aggregating massive amounts of data points that form the basis of our forecast assumptions for City Union Bank intention to invest in emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database or in cloud-based ERP, HCM, CRM, EPM, Procurement or Treasury applications.
IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
| Amazon Web Services (AWS) | Legacy | Amazon EC2 | Application Hosting and Computing Services | IaaS | n/a | 2020 | 2020 |
Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
| Cisco Systems | Legacy | Cisco Webex Meetings | Audio Video and Web Conferencing | Collaboration | n/a | 2017 | 2017 |
AI-Powered Application
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
| Avaamo | Legacy | Avaamo AI Platform | Chatbots and Conversational AI | AI-Powered Application | n/a | 2017 | 2017 | In 2017, City Union Bank implemented the Avaamo AI Platform. The Avaamo AI Platform, categorized as Chatbots and Conversational AI, was deployed to deliver natural language customer interactions and to automate responses to frequent banking inquiries. The implementation focused on conversational AI modules including natural language understanding, intent recognition, entity extraction, dialogue management, and iterative model training pipelines. Configuration emphasized conversation tone and contextual response generation so customers could ask questions and provide responses in a natural manner, while automated workflows targeted high volume and time consuming banking queries. Operational scope centered on customer service and frontline banking functions, embedding the Avaamo AI Platform into customer-facing channels and contact center workflows to surface trained conversational responses. Enterprise-grade training capabilities were applied to build and refine domain-specific intents and dialogs, supporting a wide array of retail banking query types. Sankaran, Deputy GM at City Union Bank, reported that Avaamo helped design the bot to match customer tone and that the platform’s enterprise capabilities enabled the bank to train the bot to fulfill a wide array of high volume and time consuming banking queries. Governance emphasized ongoing training cycles and conversational model refinement to maintain accuracy and coverage across supported query types. |
| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
| No data found | ||||||
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| No data found | ||||||