I visited IBM IOD for the first time in 2013 in Las Vegas. Here are some of my learnings.

1. IBM IOD 2013
The Big Data Event of IBM
A Visit Report
By Anurag Shrivastava

2. Learning from IOD
 A reference pattern about how unstructured
versus structured and real time versus batch
analytics fit together.
 Streaming based analytics in making inroads
in the enterprises.
 Companies in financial sectors are using
sensors and cloud based solutions to solve
the problems with big data in an innovative way
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3. Data in Rest or Data in Motion
Analytics
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4. 4
Data Lake

5. 5

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7. Insurance Telematics (SmartRide
Project)
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Current Processing – 2.5 days to process 8B rows and reduce to
1.3B rows, Cleaning Nulls

8. What does it mean for us?
 Sensors can be embedded at not so obvious
locations to build innovative solutions
 Sensors can enable us to offer better customer
experience
 Streaming analytics is emerging as a hot topic.
Infosphere Streams is a very mature product in
this category
 Data Lake enables us to analyze all kind of data
in all states
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