ICT

1. IT Infrastructure Design

Definition: The architectural framework for enterprise technology systems and services
Key Components:
- Network Architecture: LAN/WAN design, SD-WAN, 5G integration
- Data Center Design: Tier classification (Tier I-IV), rack layouts, cooling strategies
- Cloud Integration: Hybrid cloud topologies, multi-cloud management
- Security Framework: Zero Trust Architecture, IDS/IPS placement
- Storage Solutions: SAN/NAS configurations, hyperconverged infrastructure
Design Considerations:
- Scalability for 5-10 year growth
- Disaster Recovery (RTO/RPO targets)
- Compliance (GDPR, HIPAA, ISO 27001)
- Edge computing nodes
- Disaster Recovery (RTO/RPO targets)
- Compliance (GDPR, HIPAA, ISO 27001)
- Edge computing nodes
Deliverables:
- Network topology diagrams
- Bill of Materials (BoM)
- Capacity planning models
- Security zoning documents

2. IoT Conceptual Design

Definition: Blueprint for connected device ecosystems and data flows
Core Elements:
- Device Layer: Sensor selection (LoRaWAN, NB-IoT, Zigbee)
- Edge Computing: Fog node placement, preprocessing logic
- Communication Protocols: MQTT, AMQP, OPC UA
- Data Pipeline: Time-series databases, stream processing
- Platform Integration: AWS IoT Core, Azure Sphere
Design Methodology:
- Use case identification
- Connectivity matrix
- Data criticality assessment
- Cybersecurity threat modeling
Outputs:
- IoT architecture diagrams
- Device specifications matrix
- Data flow mappings
- Power consumption analysis
Deliverables:
- Digital maturity assessment report
- Technology adoption roadmap
- Business process reengineering docs
- KPI measurement framework

3. Digital Transformation Planning

Definition: Strategic roadmap for technology-enabled business evolution
Framework Components:
Current State Assessment: Technology debt analysis
Future State Vision: Digital maturity modeling
Capability Mapping: RPA, AI/ML, blockchain integration
Change Management: Workforce upskilling paths
Critical Path Items:
- Legacy system modernization approach
- API-first integration strategy
- Data governance framework
- ROI calculation models
Design Principles:
- Closed-loop control systems
- Redundancy planning
- Human-in-the-loop protocols
- Cybersecurity mesh
Implementation Artifacts:
- Autonomous operations playbook
- Failure mode analysis
- Technology stack interoperability matrix
- OPC UA server architecture

4. Autonomous Plant Design

Definition: Self-optimizing industrial facility architecture
System Layers:
- Physical Layer: Smart sensors, IIoT devices
- Control Layer: Distributed Control Systems (DCS)
- Cognitive Layer: Digital twins, predictive analytics
- Orchestration Layer: Autonomous decision engines
Key Technologies:
- Industrial edge computing
- Autonomous mobile robots (AMRs)
- Computer vision systems
- Self-healing networks