2014•Unpublished venueRequires access

Analytics in the age of Big Data and the Internet of Things

Ashwin Rao Karavadi

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Abstract

Summary form only given. Business Intelligence used to consist of descriptive analytics and reporting on structured data in centralized data warehouses. That is a thing of the past and now the focus is on real-time predictive analytics on complex, unstructured and varied data sources. In this session we'll kick off with a high level introduction about Big Data and the Internet of Things and talk about how analytics is evolving and is playing an increasingly important role for organizations to gain insight from data.

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What this paper is about

Summary form only given. Business Intelligence used to consist of descriptive analytics and reporting on structured data in centralized data warehouses. That is a thing of the past and now the focus is on real-time predictive analytics on complex, unstructured and varied data sources. In this session we'll kick off with a high level introduction about Big Data and the Internet of Things and talk about how analytics is evolving and is playing an increasingly important role for organizations to gain insight from data.

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Available abstract

Summary form only given. Business Intelligence used to consist of descriptive analytics and reporting on structured data in centralized data warehouses. That is a thing of the past and now the focus is on real-time predictive analytics on complex, unstructured and varied data sources. In this session we'll kick off with a high level introduction about Big Data and the Internet of Things and talk about how analytics is evolving and is playing an increasingly important role for organizations to gain insight from data.

Key concepts: Big data, Business intelligence, Analytics, Data science, Computer science, Predictive analytics, Data analysis, Focus (optics)

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