Big Data and intelligent platforms will drive the next iteration of Platform as a Service (PaaS) in a data-driven world. Intelligent apps of the future will take advantage of changes in how apps are consumed, ubiquitous cloud platforms, and vast amounts of big data. These intelligent platforms will have big data at their core and integrate mobile and social capabilities, allowing apps to be composed of services and gain insights from data. Examples include Netflix and Amazon, while platforms like Flow.net and the Brooklyn Project aim to enable these types of intelligent apps.

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