AI Application Research Laboratories
Innovation Lab Accreditation Presentation
Banner Statement:
Applied Artificial Intelligence Across Enterprise, Open Systems, and Legacy Platforms
SAP AI Lab
Mandate
To research, prototype, and validate enterprise-grade AI solutions within SAP environments.
Accreditation Relevance
- Structured AI governance within ERP ecosystems
- Compliance-aligned intelligent automation
- Enterprise data security integration
- Scalable AI deployment within regulated environments
Research Domains
- AI services on SAP BTP
- Predictive analytics for finance & supply chain
- Embedded AI workflows in ERP modules
- Responsible AI and audit-ready models
Measurable Outcomes
- AI-enabled ERP prototypes
- Enterprise validation reports
- Performance benchmarking documentation
- Deployment-ready architecture blueprints
OSS AI Lab (Open Source Systems)
Mandate
To advance AI innovation using open-source technologies with secure, scalable architectures.
Accreditation Relevance
- Vendor-neutral AI infrastructure
- Reproducible research frameworks
- Secure DevOps practices
- Cost-efficient AI deployment models
Research Domains
- Python AI model engineering
- LLM deployment on Linux
- Microservices-based AI systems
- Database intelligence optimization
Measurable Outcomes
- Open research documentation
- AI reference architectures
- Deployment validation metrics
- Security & compliance readiness reports
FoxPro AI Vintage Lab
Mandate
To modernize legacy enterprise systems through AI-driven intelligence layering and structured transformation strategies.
Accreditation Relevance
- Preservation of mission-critical systems
- AI-assisted legacy modernization
- Data continuity frameworks
- Controlled migration methodologies
Research Domains
- Legacy database intelligence mapping
- AI-based analytics overlay
- API encapsulation of vintage systems
- Structured digital transformation pathways
Measurable Outcomes
- Modernization feasibility reports
- AI analytics dashboards over legacy data
- Migration risk assessments
- Continuity assurance documentation
Governance & Research Framework
All laboratories operate under a structured accreditation-aligned methodology:
- Architectural Assessment
- Data Governance & Security Review
- AI Feasibility & Prototyping
- Validation & Benchmarking
- Compliance & Risk Evaluation
- Deployment Readiness Certification
Infrastructure Readiness
- Dedicated AI compute environments
- Version-controlled research repositories
- Secure data handling protocols
- Structured documentation & audit trails
- Collaboration frameworks for academia & industry
Leadership
Dr. S. S. N. Raju
Director – Software Division
Head, AI Application Research Laboratories
OM Systems and Services Private Limited.
Invitation
We collaborate with:
- Universities
- Government Institutions
- Enterprises
- Research Bodies
- Technology Partners
For partnerships, pilots, and research collaboration, contact us. email: ssnraju@omsspltd.com WhatsApp preferred: +91 9391101403
Image Attribution & Disclaimer:
Images displayed in this presentation are illustrative representations of technology platforms including SAP®, open-source ecosystems, and legacy software environments. These images are used solely for academic, research, and demonstration purposes. All trademarks, logos, and brand references remain the intellectual property of their respective owners. No affiliation or endorsement is implied unless formally stated.