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Big Data Projects - Case Studies - White Papers

Tackling each project with passion and determination, in the world of BigR.io, we’ve been working hard to turn heads.

Machine Learning
Field Guide

eBook

Can your enterprise keep up with the Machine Learning trend? How does an organization enable daily decisions around predictive modeling and advanced data visualization?

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eBay Enterprise Marketing Solutions

Case Study

eBay Enterprise Marketing Solutions (EEMS) contracted with BigR.io to build fundamental components of a new Customer Engagement Engine (CEE) for their Commerce Marketing Platform.

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eBay Enterprise Marketing Solutions – Case Study

Big Data Architecture Patterns

White Paper

Modern business problems require ever increasing amounts of data, and ever increasing variety in the data that they ingest. Aphorisms such as the “three V’s” have evolved to describe some of the 1 high­level challenges..

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Big Data Architecture Patterns - White Paper

Customer Acquisition through Predictive Analytics

White Paper

Your customers tell you a lot about themselves, through their digital interactions and social media assertions. With all the internal and external data you have, you can get to know each one of them as well as the corner store owner.

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Customer Acquisition through Predictive Analytics - White Paper

Deep Learning Neural Networks for IOT

White Paper

The global Internet of Things (IOT) market will grow to $1.7 trillion in 2020 from $656 billion in 2014, according to IDC Insights Research. IOT is forecast to generate a staggering 500 zettabytes of data per year by 2019.

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Deep Learning Neural Networks for IOT

Patient Health Storage System

Case Study

BigR.io architected and implemented a distributed, secure collaboration and document sharing platform that allows parents to exchange documents and conduct collaborative discussions with their children’s healthcare and educational providers.

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Patient Health Storage System - Case Study

Architecture and POC of Managed Data Hub

Case Study

A rapidly-growing niche analytics firm has developed cutting-edge models helping retailers within their industry make improved product recommendations to customers. These recommendations not only match appropriate products to those customers, but also help configure the product to the customers’ specific personalized needs.

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Architecture and POC of Managed Data Hub

Advanced Recommendation Engines

White Paper

When a shopper comes to an eCommerce site, how does she find the items she wants? Search is generally the default option when the site knows nothing about the shopper. Somewhere along the journey, though, the shopper starts to feel that the site should know her preferences better than pulling up a few thousand randomly-sorted options and dumping them on her.

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Advanced Recommendation Engines - White Paper

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