Overview
DAMS delivers a single, unified interface for automating an enterprise's IT infrastructure, applications, and processes that includes monitoring, event handling, ticketing and remediation. DAMS bases its actions on business rules from deep domain knowledge, guided machine learning and artificial intelligence to take precise and intelligent actions to keep the businesses running at peak performance.
The current IT conundrum
The IT managed services market is getting disrupted from two angles. Digital agendas are pushing customers to move more and more to the cloud and most recently, to the public cloud. This changes the expectations of the managed services providers. The second big disruption is the wave of automation. While IT service providers have talked about automation forever, not much progress has been made in this space. Primarily because the business model was based on labour arbitrage. But now, customers are demanding more automation and are looking for fresh solutions from new players that can really accelerate their adoption of cloud and also bring in AI and machine learning to automate everything in the L1 service desk and slowly move up the chain into L2 and L3 services as well. DAMS is positioned to take on this new requirement from customers. We are disrupting the managed services market by bringing in the intelligent automation.
What DAMS offers
Automated management for applications and infrastructure, with automated monitoring, incident management and problem management
Platform built on intelligent automation with customisable levels of automation
Executive, multi-level, multi-cloud dashboards
100+ ready-to-deploy automation templates for common recurring incidents
Integration with ITSM tools for complete lifecycle automation
Ticket enrichment and prioritisation for problem tickets
Multi-channel support through AI chatbots, email, IVR, SMS, etc.
Key features
Consolidated dashboard
Single view for utilisation, ticketing and cost for client to drive better business decisions across multiple cloud environments.
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Natural language processing
Read through email and solutions to help create knowledge repository automatically. This helps the AI to select the correct solutions for an issue which has been reported earlier. This results in better response and resolutions time thus maintaining SLA during hours when human resources are not available for response.
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Bots
Chatbots help end-users with their requests. Data such as ticket status, infrastructure utilisation and SLA breaches can be directly provided via chatbots.
Schedule a demoDifferentiators
DAMS is built on the cloud platform and natively supports a multi-cloud environment. It leverages technologies like machine learning and AI to minimise the human intervention in terms of monitoring, event handling, ticketing and remediation. By using reinforced learning methods, it slowly improves the accuracy of automated fixes as and when the issues arise. It's built in continuous learning system creates virtual models of the infrastructure using live data and offers predictive and prescriptive solutions.
Contact us
Vijay Kannan
Director, Digital Services
Tel: +91 80 4079 4008
Email
