The activeInsight open source event stream processing platforms enables cloud based event processing, correlation, aggregation and reaction to events and patterns

1. ACTIVE INSIGHT Event Stream Processing in the Cloud Mike Telem Business Development

3. Processing, Correlating and Aggregating Events

4. Use Cases: From Behavioral Targeting to Electrical Smart Grids

5. ESP in the Cloud

7. Cell phones, web sites, GPS devices, cars, ads, Financial transactions,…

8. RFID, industrial eq., security sensors, border controls, medical eq.,…

9. Utilities, pipelines, meters, digital signage, home appliances, entertainment devices, cars, …

10. Applications, infrastructure, web-services, customer data,…

11. Markets, stocks, currencies, news, wiki’s, blogs, tweets,…

12. …

13. Multiple events share various perspectives

14. Event stream quantity and frequency will fluctuate

15. Effective time window for reactions is minimal

16. Reaction channels may vary

18. Processing application level events in a distributed environment

19. Event Correlation – Directing multiple event streams based on their context to the corresponding ESP containers

20. Complex Event Processing:

21. Processing multiple events to detect meaningful patterns using correlation, aggregation and time-frames

22. Pattern detection: Detecting specific event combinations and patterns in contexts

23. Cross-Context Correlation: Processing multiple streams into multiple contexts / perspectives (fraud / marketing)

24. Aggregation: Accumulating correlated events into time-based contexts, support for “event state machine” aggregation.

25. Data Integration: Caching data sources as “reference data” for processing

27. Online Advertisement: Behavioral targeting, multiple site click-stream correlation

28. Ecommerce : Identifying customer interests (up-sell/cross—sell) , Improving conversion rates, anonymous user hooking, campaign management

29. Online Self-Service : Identifying customer turnover or dissatisfaction, Monitor user experience and assist in transaction completion

30. Algo-Trading : performance and availability improvements and HW cost reduction

31. Auditing: Feeding “Who” did “What” and “When” to auditing and SIEM systems

32. Fraud detection: Fraudulent behavior pattern detection, Bot detection, alongside fraud detection systems

33. Electrical smart-grid: Detecting misuse, mal-functions, on-demand supply

34. Home Land Security: Enhance airport and border security, correlate multiple events, intelligence data and incoming alerts

35. Traffic management: Vehicle location management for Insurers, authorities and drivers

38. On-demand usage

39. Scaling up and out to varying event frequencies

40. ESP as a service

41. Offloading event processing

42. Dynamic Stream Sources

43. Dynamic event sources

44. Handling remote event sources

45. SaaS Enabler

46. Porting event-oriented applications to the cloud

47. SaaScomponent

48. Enhance SaaS applications

49. Offload the core application

50. Comply to regional regulations

51. Provide SaaS Application integration

52. IaaS/Hosting

53. Value Added Services (Security, Auditing, BI)

55. Multi-source event stream processing

56. Event correlation and aggregation

57. Pattern matching

58. Integrated data caching

59. Embeddable framework

62. Amazon Public Image, Devpay

63. SaaSconnectivity (Sales Force, etc.)

64. First SaaS OEM’s

65. AI in additional IaaS

66. Enhanced ESP

67. Integrating mathematical/statistical engines (R-server)

68. In-memory data-grid integration

69. Clustered ESP container