DevOps/MLOps Model
Agile Project Development
Accelerators for Quick Deployment
Accelerators for Quick Deployment
- Our accelerator's modules can be easily scaled up and configured by the business team
- 30-60-90 days of rapid development gets done using enterprise MLOps/DevOps Platform (Azure/GCP/AWS)
- 3 stage Go-Live approach - Configure Solution Accelerators; Productize using an Enterprise Platform; and then Go-Live in the SaaS model
- Leverage Best practices & templates from project team’s expertise working with global clients
- Platform scale approach with the open API principles
Accelerators for Quick Deployment
Accelerators for Quick Deployment
Accelerators for Quick Deployment
- Integration with the open-source engines
- Hosting with public cloud platforms - Azure/GCP/AWS
- Platform approach with "Cloud-Mobile-AI" as design strategy
- UX change management using the no/low code platforms
- Solutions/Accelerators available to be consumed as APIs
- Reports & Dashboards support on-demand customizations
Consulting Services
Advisory Support
Digital Transformation
Digital Transformation
- Enterprise Automation
- Business Value Assessment
- Application Portfolio Rationalization
- Infrastructure Design and Recommendations
- Process Assessment for Automation and Analytics opportunities
Digital Transformation
Digital Transformation
Digital Transformation
- Transformation Strategy
- Platform Architecture and Analysis
- Center of Excellence (CoEs)
- Digital Solution Design & Development
- Service Experience Design to Deploy
- Business Process Reengineering
IT Implementation
Digital Transformation
Application Maintenance
- Project Management
- Design, Build and Test Services
- Application Setup
- Go-Live Support
- Deployment Services
Application Maintenance
Application Maintenance
Application Maintenance
- Maintenance Support
- Change Management
- Incident, Problem Management
- Continuous Performance Improvement
- Upgrades for Optimization and Performance
Technology CoEs
Application Maintenance
Technology CoEs
- Setup Technology COEs for technology acceptance
- BOT (Build, Operate and Transfer) Model for R&D
- IP Development and Transfer for Commercialization
- Design and Develop POCs/Prototypes
BPR Services
Application Maintenance
Technology CoEs
- Lean Process Redesign
- Systems Integration
- Continuous Improvement Metrics
- Technology strategy for Change Management
Next Gen Platforms
Technology Experience
Analytics/AI
Cybersecurity
Analytics/AI
- Upstream Data Analyzer (UDA) for NPT Reduction
- AI enabled EOR (Enhanced Oil Recovery)
- Production Analytics
- Prediction of Pipeline Spills and Thefts
- Fraud Detection on Health Insurance Claims Gene Data Analytics & Risk Profiling EMR/Healthcare Data Analytics Predicting Adverse
- Non-Performing Loans (NPL)
Blockchain
Cybersecurity
Analytics/AI
- Energy Trading using Blockchain
- Gas Management for Pipeline Companies
- LSTK (Lump Sum Turn Key)/EPC Projects Management
- Running Drug Discovery Process on Blockchain
- Running EMR/EHR on a Blockchain Platform
- Blockchain Analytics as a Service (BAaaS)
Cybersecurity
Cybersecurity
Cybersecurity
- Predicting Cybersecurity Incidents
- Identity and Access Management
- EMR/EHR Security Management
- AML (Anti Money Laundering)
Deep Learning
Failure Analytics
Cybersecurity
- External and Internal Corrosion Analysis for Pipeline
- Prediction from Seismic Sections Images
- Medical Images Data Classification
EDGE Computing
Failure Analytics
Failure Analytics
- Refinery Plant’s Alerts & Events Forecasting
- Process Historian Analytics
- Embedding Predicted Models in the Digital X-Rays
Failure Analytics
Failure Analytics
Failure Analytics
- Component Failure Prediction
- Detect defects during production using CNN models
- Predict FDA Non-Compliance in Process Manufacturing
Technology Partners
