1. Intelligent Platforms
Iterating beyond today’s PaaS

2. Great Computing Convergence

3. Cloud Computing

5. PaaS v1.0
Multi-Language, Multi-Cloud, etc. BUT
Built for scale in terms of users
Not suitable for the Big Data World
Examples: Heroku, Engine Yard, CloudFoundry,
Cumulogic, OpenShift, CloudBees, etc.

6. PaaS v1.0

7. Social

8. Understanding Social
Social is not just relationships and
conversation
Social is valuable data

9. Mobile

10. Understanding Mobile
Mobile is not just an interface
Mobile is also a sensor or source of
data

11. Big Data

12. If Ballmer Dances Today
Data, Data, Data, Data, Data
Data, Data, Data, Data, Data

13. Data Markets

14. Today

15. Tomorrow
Computing
Convergence

16. How do we go there?

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

19. Today’s App = Composition of Services

20. Not Exactly, But
Well, we still haven’t reached the stage of
service consumption
But we consume features/functionality on
multiple apps, multiple devices, etc
Service consumption is the next logical step

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

22. Next-Gen Intelligent Apps
Intelligent Apps
Data Service
Data Service
Insights
Insights

25. Thatz a realistic possibility
However

26. 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

27. Some Examples
Netflix
Amazon
Traditional US retailers like
Target, Walmart and others
Etc.

29. Developing Intelligent Apps
How?

30. 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

31. Intelligent Platforms

32. Potential Players
PaaS v1.0 Vendors
Data Markets
Data as a Service Vendors
DIY

33. In The Right Direction
Flow.Net
(Tibco’s Cloud Cousin)

34. In The Right Direction
CloudSoft’s Brooklyn Project

35. In The Right Direction
Pervasive Software’s Data
Rush and More

36. Need a Complete Rethink

37. 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

38. BTW, Who Am I?
Principal Analyst, Rishidot Research LLC
Editor, CloudAve.com
Email: krishnan@krishworld.com
Twitter: @krishnan
Website: www.rishidot.com
Blog: www.cloudave.com/author/krishnan/