The IBU initiatives on Digital Twin has been on Industrial, Real Estate, FinTech domains. The cluster of engagements provided key System Designs and customer engagements in those selected sectors for Digital Twin solutions. The Digital Twin of Power, Water, HVAC, Roads, Rail, water ways, Buildings, Equipment using iOT devices iPCAM, Sensors, secure monitoring Digital Twin Systems. The functional, operational and management related Digital Twin Use Cases varies considerably, based on the type of data integration, application domains and features for the stakeholder users.
Customer Segment
The customer engagements for Digital Twin projects for Real Estate involved mix of existing built-environments or new models. The Customers include operational users to management to improve efficiencies, reduce defect ratios, real-time monitoring, faster execution, performance metrics etc.
Problem Statement
The enterprise and public systems using legacy hardware, software or OS dependant Server Environments were identified the client for Cloud Transformation by a leading Telecom client. The extensive multi-decade dependencies of application tiers, databases and integrations were present due to evolutionary journey of the user community.
IBU Approach
The Digital Twin systems were introduced to client process to simulate conditions and effectively test anomalies and conflicts. Real Estate sector Digital Solutions support a cost effective and virtual methods to review design and sustainability criterias. The Digital Twin integrates the GenAI (Chats, Voice) tooling supported by AI/ML pipelines. The Digital Twin integrations with corporate systems connects with CRM, SRM, SCM, ERP, FICO and PLM functions and increase remote and on-premise access to models anytime.
01
Visual Simulation Physics based or Data-driven Digital Twins for monitoring current status of physical functions, interactions, outcomes or processes. The DT applications are diverse in nature and IBU focus DT solutions for Visual Simulations in Real Estate, Industries, Banking, FMCG, Supply Chain segments.
02
Feature Simulation the Digital Twin supports intelligent simulation of physical conditions and characteristics. The Digital Twin simulations of the dynamic action/reaction and impact conditions. The Digital Twin solution helps to simulate features digitally, without costly equipment, constructions and fear of failures.
03
Process Modelling The dynamic process models requires digital replica for enabling the stakeholders to visualize the dynamic processes, volume, flow channel & directions, impact, outcomes etc. The Process model features are useful for Supply chain, Transportation/Mobility, customer behaviour, utility services (gas, water, power), weather elements etc.
04
Process & Impact Modelling Reduction of Cycle-Time, optimization and governance of processes and outcomes often requires detailed physics based Digital Twin models. The process flows, cycle-times, outcome and impact zone mapping and simulations give better visualization of Supply Chain and Manufacturing process to validate or optimize them.
05
GenAI Twin Models the GenAI predictive Digital Twin modelling is increasingly important feature for highly complex natural and man-made systems. The on-premises and cloud based GenAI features (ChatGPT, RPA, APA etc.) along with Digital Twin models provide extensive cross-content intelligence and inferences for CRM related customer support or operational support functions.
06
Relation/Dependency Models The real-time analytics and Digital Twin functions for Preventive Relationship & dependency lineages are important for Root Cause Analysis (RCA) inferences, alerts and scenario data inputs. These Digital Twin functions are useful for any process-centric environments.
KPIs & Success Metrics
Digital Twin KPIs
1. AI/ML Inference based effective integrations on Digital Twin models for effective simulation of physical conditions
2. KPI based Digital Twin parametric threshold analysis for efficiency criteria
3. Optimization modelling of dynamic functions and processes using Digital Twins
1. AI/ML Inference based effective integrations on Digital Twin models for effective simulation of physical conditions
2. KPI based Digital Twin parametric threshold analysis for efficiency criteria
3. Optimization modelling of dynamic functions and processes using Digital Twins
- Market responsive Digital Twin simulations and optimization of mobility, impacts and outcomes
- Digital Twins provide faster, cost effective methods to create ESG parameters for Industrial and Supply-chain sectors
Leadership Vision
To enable and transform market verticals with Digital Twin solutions for SECURE, RELIABILE, EFFECTIVE and RESPONSIVE Process and Function models for Optimal Operations, Management and Logistics.
Outcomes & Results
Project Outcomes
- Industrial Digital Twin based Process & Management Models for agile operations
- Create dynamic System Architectures for On-Premises and Cloud based data integration on Digital Twins
- Build backend AI/ML pipelines to manage the timely inferences for Digital Twin display of parameters.
- Data & Functional APIs and Services to connect Digital Twins
- AI/GenAI features for Chats and Voice based interactions with Digital Twins
- Process Workflow Models for Digital Twin functions
- Cloud based CI/CD integration pipelines for simulations
- Predictive data pipelines and DataFabric functions on Digital Twin components
- Access Control & Security envelopes around data integrations
- Release & Deployment models of data and functions on the Twins
