2. IoTs Capabilities

3. What is IoTs?
Control / Information
Internet
Devices

4. What is IoTs? Control / Information Internet Devices Hardware Rules
Cloud
Agents / Software
Data
Analytics
Sensors
Protocols
Decision Making
On Premises

5. IoT Forecast
10 billion devices
Now
50 billion devices
2020

6. Key Challenges in IoT Solutions
Convert the current business models to enable right mix of solution
Choosing the right set of architecture components for end to end solutions 6 1
Dealing with latest innovations
and propositions
Effectively dealing with large data sets and analytics 7 2
Effective execution of the IoT solutions and
make it successful
Security in various layers of internet of things solution 8 3
Leverage SMAC to enable intelligent IoT with
the right context
Testing of the IoT enabled solutions 9 4
Information modeling to collaborate and
enabling right set of information/control
Challenges in Governance, Maintenance and adoption of the platform 10 5
Challenges
Need to serve both internal and external needs within an enterprise, leveraging their key assets and services, while driving up efficiencies and business growth.
Need for building capabilities that can react to user needs and business priorities rapidly and in a cost-effective way.
Need to respond to IT infrastructure usage and be elastic to demand, thus requiring digital systems to work on cloud, and integrate seamlessly with on-premise assets.
Need to enable internal and external users of services to connect to and use the services and get real time access to data and processes with very low latency.
Contemporary API systems built on SOA that are meant to increase reusability, but which were actually “built up” from legacy systems of record and have their own challenges and are:
Dependable and stable, but slow to change
Fine grained, inflexible, and complex.
Standardized in their output, which makes the output slower to modify, and subject to interpretation.
Unable to keep pace with the current speed of innovation and short iterations in app development because of the nature of “built-up” SOA services. 

7. IoT Capabilities Ready Pool of Trained resources Estimation Model
Key Partnerships
Differentiators/ Key Service Offerings
Vast expertise include Legacy Modernization, Middleware Consolidations and  Migrations / Upgrades 
Thought leadership: 20+ patents ; Authored book on SOA Security
Focus on Innovation: Including ESB Implementations, DevOps, UI and Enterprise Architecture
IP’s & Frameworks: Based on best practices to deliver accelerated Implementations – Simulated Testing, Execution Framework
Tools and Technologies
Ready Pool of
Trained resources
Estimation Model
Suited for Disruptive
Business Models
Better ROI
Modern
technology driven

8. IoT Services Portfolio
Planning and Execution
Platform Assessment, Sizing, Installation, Configuration
Environment Readiness
Platform Set Up
Assessment of the Requirement and identify the efficient solution approach
Enterprise UI strategy
Pilot Engagements
Analytics/ Data visualization
API / Integration
Solutions
Migration Methodologies, including device, data, assets etc
Testing on L&P and Load (Simulators)
Roll out & Decommission Planning
Migration
Modern UI, Groovy, RWD, Mobility Solutions
Big Data, BAM
CEP, Event Management
Client and Server Side Programming
Technologies
Cloud migration strategy
Azure development / migration
DevOps tooling for on premise and cloud
Cloud
Advisory Services
Solution Suites
API Management and BaaS
Digital Data
Social Business
Disruptive Technologies
DSI

9. IoT HCL Key Differentiators
Modern UI: responsive , interactive, integrated with analytics, device friendly, new devices support
Internet of Things
Cloud
Integration / API Management
Analytics
Mobility
Modern UI
Big Data
Enterprise UI strategy Improve user adoption Omni channel enablement
BaaS for mobility initiatives
Visualization for big data, streaming events and support for interactive analysis
Industry Leading experience
Rave reviews from every analyst
Over 15 patents and a book on SOA security
Modern Front End, Better usability for
Customer acquisition, Better Application Adoption Continuous Improvement of Apps
Driven by Metrics
Omni Channel strategy, Enterprise UI Strategy, Hybrid mobile apps, Data visualization, API / BaaS
Cloud Consulting & Assessment, Migration & Development, Cloud operations, Service Integration/Aggregation, Platform and Apps Management
DSI advisory, TOM definition, APO , assessment, PM as a Service
Business Consulting
Roadmaps and assessment for Digital Journey
Modernization strategy
Program Management for large programs
Mobile Readiness Assessment, Modern Apps Development, App Store development, Mobile First Strategy

10. IoT Frameworks Pluggable Mobile Framework Visualization Configuration
Control
Alerts
Sensor Framework
Get Data from Sensor
Sensor Events
Control Sensor
Configure Sensor
Simulator and Stubs for Testing
Virtual devices
Enables Proactive Testing
Simulate Values
Simulate Responses
Information Model
Standard Information Model
Defined for specific set of solutions
Adaptable and tailor made
Innovation to reduce time to market
Customer experience to increase customer base
Optimized asset utilization to reduce cost
Resources Productivity

11. HCL IoT Execution Framework
Detailed IoT ARM
Platform Set Up
Technology
Needs
Sizing based on Requirements
Configuration of IoT Artifacts
Design HW and SW Modules
Business
Requirements
Development of Agent Modules
Devices Communication Approach
HCL
Foundation
Workshop
Overall
Implementation
Approach /
Estimation
Design
Develop
Core Data/Agents Migration
Prototyping
/ Blueprinting
Core Platform Desigh
Develop Integration Solutions
Involve R&D or
ERS
Migration Approach
Develop UI
Integration Approach
Develop Reports
UI Designs
Testing
Design Reports

12. Architecture Reference Model
Web
Portal
Apps
Reporting
Device Management Applications
Events / Rules
Access / User
Security
Cloud / On Premises
Configuration
API / Integration / BPM
Big Data / Analytics
Data
Monitor
Content
Network / Protocols
Infrastructure
Control
IoT Platform Services
Communication
Devices
Hardware
Agents
Sensors

13. Few Sample Use Cases IT & Networking Telecom Aerospace & Defense Media
Health Care
Smarter Diagnosis of patients
Connected Hospitals, Patients and Stores
Connected Medical Devices
Manufacturing
Proactive Diagnosis
Real time performance predictions
Real time usage based operations
Financial Services
Real time analytics
Potential purchase recommendations based on spending patterns/budget
Life Science
Real time data for analytics and research
IT & Networking
Monitoring
Proactive and Real time Diagnosis
Telecom
Device control from smart phone
Aerospace & Defense
Aircraft monitoring and control eg Drones
Flight Data Analytics
Media
Real Time Data Feeds
Logistics
Fleet Tracking
Real time warehouse management
Inventory Management
Retail
Smart Shopping
Smart Inventory
Energy
Integrated Energy Consuming Devices
Smart Grid
Infrastructure
Smart Cities Integration
Control Infrastructure

14. IoTs– Success Stories Data Storage Solutions
storages devices are monitored and controlled
Migration from Axeda to 6.8
Assessment of the existing IoT regions, suggested optimization opportunities
Implementation of Custom UI, Extended Modules, Rules etc
Deployment using the Axeda Artesian
Review of the modules and improvements
Installation and Configuration of Axeda 6.8 on premises
Testing using Axeda simulator for L&P and Performance
Production Rollout and Warranty