0
Intelligent PlatformsIterating beyond today’s PaaS
Great Computing Convergence
Cloud Computing
PaaS v1.0£   Multi-Language, Multi-Cloud, etc. BUT£   Built for scale in terms of users£   Not suitable for the Big Data W...
PaaS v1.0
Social
Understanding SocialSocial is not just relationships and£conversation£Social is valuable data
Mobile
Understanding Mobile£Mobile is not just an interfaceMobile is also a sensor or source of£data
Big Data
If Ballmer Dances Today                 Data, Data, Data, Data, Data
Data Markets
Today
Tomorrow  Computing Convergence
How do we go there?
Application Consumption Model£   No more monolithic applications£   Web 2.0, Cloud and BYOD Changing Behavior£   Legacy Ap...
Today’s App = Composition of Services
Not Exactly, But£   Well, we still haven’t reached the stage of    service consumption£   But we consume features/function...
Re-Imagine Tomorrow’sAppWhat if the app could take advantage ofthe change in consumption model?£all pervasive cloud platfo...
Next-Gen Intelligent Apps      Intelligent Apps                         Data Service         Insights
Thatz a realistic possibility         However
Today’s Intelligent Apps£   Such apps exist today in consumer sector£   Takes advantage of big data and predictive    anal...
Some Examples£Netflix£AmazonTraditional US retailers like£Target, Walmart and others£Etc.
Developing Intelligent Apps            How?
Intelligent PlatformsCharacteristics of next-gen platforms:£Big Data at the core with a data as aservice component£   Mobi...
Intelligent Platforms
Potential Players£   PaaS v1.0 Vendors£   Data Markets£   Data as a Service Vendors£   DIY
In The Right Direction          Flow.Net   (Tibco’s Cloud Cousin)
In The Right DirectionCloudSoft’s Brooklyn Project
In The Right Direction  Pervasive Software’s Data       Rush and More
Need a Complete Rethink
Conclusion£Still in early stagesAny data centric organization£should be thinking about itI really want to hear from£practi...
BTW, Who Am I?£   Principal Analyst, Rishidot Research LLC£   Editor, CloudAve.com£   Email: krishnan@krishworld.com£   Tw...
Intelligent Platforms
Intelligent Platforms
Intelligent Platforms
Intelligent Platforms
Intelligent Platforms
Upcoming SlideShare
Loading in...5
×

Intelligent Platforms

1,544

Published on

Published in: Technology
1 Comment
1 Like
Statistics
Notes
No Downloads
Views
Total Views
1,544
On Slideshare
0
From Embeds
0
Number of Embeds
4
Actions
Shares
0
Downloads
34
Comments
1
Likes
1
Embeds 0
No embeds

No notes for slide

Transcript of "Intelligent Platforms"

  1. 1. Intelligent PlatformsIterating beyond today’s PaaS
  2. 2. Great Computing Convergence
  3. 3. Cloud Computing
  4. 4. PaaS v1.0£ Multi-Language, Multi-Cloud, etc. BUT£ Built for scale in terms of users£ Not suitable for the Big Data WorldExamples: Heroku, Engine Yard, CloudFoundry, Cumulogic, OpenShift, CloudBees, etc.
  5. 5. PaaS v1.0
  6. 6. Social
  7. 7. Understanding SocialSocial is not just relationships and£conversation£Social is valuable data
  8. 8. Mobile
  9. 9. Understanding Mobile£Mobile is not just an interfaceMobile is also a sensor or source of£data
  10. 10. Big Data
  11. 11. If Ballmer Dances Today Data, Data, Data, Data, Data
  12. 12. Data Markets
  13. 13. Today
  14. 14. Tomorrow Computing Convergence
  15. 15. How do we go there?
  16. 16. Application Consumption Model£ No more monolithic applications£ Web 2.0, Cloud and BYOD Changing Behavior£ Legacy Apps exist but going away£ SOA done right?
  17. 17. Today’s App = Composition of Services
  18. 18. 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
  19. 19. Re-Imagine Tomorrow’sAppWhat if the app could take advantage ofthe change in consumption model?£all pervasive cloud platforms?£wealth of Big Data?£
  20. 20. Next-Gen Intelligent Apps Intelligent Apps Data Service Insights
  21. 21. Thatz a realistic possibility However
  22. 22. 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
  23. 23. Some Examples£Netflix£AmazonTraditional US retailers like£Target, Walmart and others£Etc.
  24. 24. Developing Intelligent Apps How?
  25. 25. Intelligent PlatformsCharacteristics of next-gen platforms:£Big Data at the core with a data as aservice component£ Mobile and Social integrated£ Polyglot Platforms
  26. 26. Intelligent Platforms
  27. 27. Potential Players£ PaaS v1.0 Vendors£ Data Markets£ Data as a Service Vendors£ DIY
  28. 28. In The Right Direction Flow.Net (Tibco’s Cloud Cousin)
  29. 29. In The Right DirectionCloudSoft’s Brooklyn Project
  30. 30. In The Right Direction Pervasive Software’s Data Rush and More
  31. 31. Need a Complete Rethink
  32. 32. Conclusion£Still in early stagesAny data centric organization£should be thinking about itI really want to hear from£practitioners in this room on this
  33. 33. 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/
  1. A particular slide catching your eye?

    Clipping is a handy way to collect important slides you want to go back to later.

×