These are slides from a talk I gave at Pitney Bowes on the need for building intelligent platforms for building applications and services suitable for the big data world.

1. Big Data & Intelligent
Platforms
Next Iteration of PaaS for data driven world
Krishnan Subramanian
Principal Analyst, Rishidot Research
Editor, CloudAve.com

2. My Coordinates
Web: www.rishidot.com
Blog: www.cloudave.com/author/krishnan
Email: krishnan@krishworld.com
Twitter: @krishnan

3. Great Computing Convergence

4. Cloud Computing

5. PaaS Is The Future Of Cloud Services

6. Social

7. Mobile

8. Big Data
Pic Credit: http://www.flickr.com/photos/giladlotan/

9. Data Markets

10. Today
Big Data
Cloud
Computing Social
Mobile

11. Tomorrow
Computing Convergence
Cloud
Computing
Big Data
Social &
Mobile

12. How?
Tomorrow
Today

13. Step Back

14. Application Consumption
Model
 No more monolithic applications
 Web 2.0, Cloud and BYOD Changing Behavior
 Legacy Apps exist but going away
 SOA done right?

15. Today’s App = Composition of Services

16. Re-Imagine Tomorrow’s
Apps
What if the app could take advantage of
 the change in consumption model?
 all pervasive cloud platforms?
 wealth of Big Data?

17. Next Gen Intelligent Apps
Intelligent Apps
Data
Store
Insights

18. IT Automation Like Never Before

19. Not Entirely Hallucinating

20. Today’s Intelligent Apps
 Such apps exist today in consumer
sector
 Takes advantage of big data and
predictive analytics
 But it is just a tip of the iceberg
 Enterprises can take advantage of this in
a big way

21. Some Examples
 Netflix
 Amazon
 Traditional retailers like
Target, Walmart, etc
 Etc.

22. Tip Of The Iceberg

23. Developing Intelligent Apps
How?

24. Intelligent Platforms
Characteristics of next-gen platforms:
 Big Data at the core with a data as a
service component
 Mobile and Social integrated
 Polyglot Platforms

25. Intelligent Platforms

26. Potential Players
PaaS Providers
Data Markets
DIY

27. Flow.net
Tibco’s Cloud Cousin

28. Brooklyn Project
By CloudSoft

29. Conclusion
 Still in early stages
 Any data centric organization should
be thinking about it
 I really want to hear from
practitioners in this room on this

30. Let Us Continue The
Conversation
 Email: krishnan@krishworld.com
 Twitter: @krishnan
 Website: www.rishidot.com
 Blog: www.cloudave.com/author/krishnan