1. Edge to Enterprise Analytics Platform for IoT
Satyajit Dwivedi – SAS Institute
@satyajitdwivedi
linkedin.com/in/satyajitdwivedi

2. SAS - Leader in Analytics

3. SAS - Leader in Analytics

4. SAS - Leader in Analytics
Leader in Enterprise Insight Platform 2016
Leader in Predictive Modelling & Machine Learning 2017
Leader in Streaming Analytics 2017

5. Edge to Enterprise Analytics for IoT

6. Edge to Enterprise Analytics for IoT

7. IoT in India Manufacturing Sector
How much IoT is imbibed
How is it likely to change
IoT is not new for Manufacturing Sector
Focus was on SCADA, DCS, MES, Historian based Monitoring and Control
Silo’s of information
Analytics not central
More data integration real time / batch into
Manufacturing Analytics System (MAS) with Forecasting, Machine Learning & AI
Edge to Enterprise Analytics Platform for IoT adoption
More specialized sensors

8. Where should the IoT focus be ?

9. IoT Focus Identification of Use Cases / Benefits
Establish Edge to Enterprise Analytics Platform
Capacity Building - Domain Led Analytics Training – Predictive Modeling / ML / AI
Development of IP with SME / SI
Aligning IP with the Business Strategy
IoT Focus

10. Capacity Building

11. Re-skilling is required with in-house domain Engineers need to embrace data analytics
New Skills of Data Scientists need to be included
Data Scientists need to embrace domain
Skills on Big Data Analytics - Data Mining, Machine Learning, Artificial Intelligence,
Knowledge on Edge Analytics, Protocols, Messaging Systems
Capacity Building

12. Satyajit Dwivedi – SAS Institute
Satyajit Dwivedi, Director – Process, Sensor and IoT Practice
Thank You
@satyajitdwivedi
linkedin.com/in/satyajitdwivedi
Satyajit Dwivedi – SAS Institute