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Bruce Robbins
  • Male
  • London
  • United Kingdom
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  • Vincent Granville

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Vincent Granville and Bruce Robbins are now friends
Jun 28

Profile Information

Short Bio
During the last 19 years producing data-driven applications as an application designer, software engineer, system architect, and data scientist has been a time when interesting development in technology are beginning to open up a whole new era of possibilities. It is good to be able to observe, comment on, and, most importantly deploy the options as they unfold.
My Web Site Or LinkedIn Profile
http://xcipi.io
Professional Status
C-Level
Years of Experience:
35
Your Company:
XCiPi
Industry:
SaaS
Your Job Title:
CEO
How did you find out about DataScienceCentral?
web
Interests:
New venture
What is your Favorite Data Mining or Analytical Website?
http://www.ibmbigdatahub.com/
What Other Analytical Website do you Recommend?
http://rocketdatascience.org/

Bruce Robbins's Blog

Machine Learning - Some Bones

Posted on June 30, 2016 at 12:18am 0 Comments







Machine learning is a loose term, it covers many activities. From a software engineering…

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Safely sharing data through an api with alliance partners.

Posted on March 21, 2016 at 6:00am 0 Comments

The following use case shows how an exchange of clean blended data can simplify the implementation of commercial and strategic alliances between businesses with a common interest.

dlc-3

USE CASE 1

The company is a Professional Sports Club. They operate their own sports stadium which is well…

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5 predictions for 2016 on data, analytics and machine learning

Posted on January 3, 2016 at 5:00am 0 Comments

The first prediction is that data and analytics will continue to grow at an astounding pace and with increased velocity

This is no big surprise as all the past reports have pointed towards this growth and expansion -…

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3 reasons why companies are not engaging with data as much as they ought to

Posted on November 20, 2015 at 1:30am 1 Comment

A look at a number of recent reports and surveys shows that while there is an appetite for using data more wisely, and an intention amongst top executives to use data more there are still many companies not using data as effectively as they could.

According to Hewlett Packard

  • 87% Of enterprises cannot fully exploit their data
  • 85% Cannot Analyse data quickly enough…
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