Emerging Internet of Things & Big Data By @EYnews | @ThingsExpo [#IoT]

The explosion of connected devices / sensors is creating an ever-expanding set of new and valuable data. In parallel the emerging capability of Big Data technologies to store, access, analyze, and react to this data is producing changes in business models under the umbrella of the Internet of Things (IoT). In particular within the Insurance industry, IoT appears positioned to enable deep changes by altering relationships between insurers, distributors, and the insured.
In his session at @ThingsExpo, Michael Sick, a Senior Manager and Big Data Architect within Ernst and Young’s Financial Service practice, to discuss how the IoT has the potential to shrink the distance between the insurer and insured by providing increased knowledge of the behavior of customers, prospects and distributors in the context of their surrounding environment. Usage Based Insurance (UBI) within auto insurance has been an early testing ground. Streaming vehicle data has enabled participating insurers to improve their understanding of driving behaviors and to adapt the pricing and management of these risks. Given the promise of the early findings, auto insurers are increasingly offering sensors that monitor individual driver behavior while asking consumers to trade privacy regarding their driving behaviors and locations for lower prices.

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Preparing for the ‘Internet of Things’ Data Deluge By @Infobright | @ThingsExpo [#IoT]

One of the biggest impacts of the Internet of Things is and will continue to be on data; specifically data volume, management and usage. Companies are scrambling to adapt to this new and unpredictable data reality with legacy infrastructure that cannot handle the speed and volume of data.
In his session at @ThingsExpo, Don DeLoach, CEO and president of Infobright, will discuss how companies need to rethink their data infrastructure to participate in the IoT, including:
Data storage: Understanding the kinds of data: structured, unstructured, big/small?
Analytics: What kinds and how responsive do you need to be?
Reporting: What kinds of reports are needed beyond the standard statutory reports?

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