IBM IOD 2013
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IBM hosted its annual IBM Insights On Demand conference to discuss big data analytics trends. The conference highlighted how streaming analytics is becoming more common in enterprises for real-time insights, how financial companies are using sensors and cloud-based solutions innovatively to address big data problems, and how data lakes allow organizations to analyze both structured and unstructured data at rest or in motion. Insurance companies are also using telematics and smart sensors in vehicles to better process claims data and reduce processing times from 2.5 days to just 1.3 days.
IBM IOD 2013
- 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 2
- 3. Data in Rest or Data in Motion Analytics 3
- 4. 4 Data Lake
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- 7. Insurance Telematics (SmartRide Project) 7 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 8