How big and open data can be used for the common good
How big and open data can be used for the common good Edited by Peter Baeck February 2015 Nesta is an innovation charity with a mission to help people and organisations bring great ideas...
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Recapping 2015 at Objectivity
Recapping 2015 at Objectivity by John J. Jarrell, President and CEO, Objectivity| Dec 22, 2015 2015 marked an exciting year for all of us at Objectivity due to three important developments: we saw the continuing emergence of...
Peacocking
Peacocking by Nick Quinn, Principal Architect of InfiniteGraph | Jan 6, 2016 | This is a blog examining the use of signaling in applications that provide recommendations as a use case for graph databases. After reading books like “Freakonomics,”...
Distributed Graph Partitioning Made Feasible
Distributed Graph Partitioning Made Feasible Authors: Fatemeh Rahimian (fatemeh at sics.se) and Amir H. Payberah (amir at sics.se) Affiliation: SICS Swedish ICT (www.sics.se) Our world is increasingly connected, and this is changing our lives...
Q&A with Shawn Rogers, Chief Research Officer, Dell Statistica: 2016 Analytics Predictions
ODBMS.org Q&A with Shawn Rogers, Chief Research Officer, Dell Statistica: 2016 Analytics Predictions “A ‘citizen data scientist’ is an everyday, non-technical user that lacks the statistical and analytical prowess of a traditional data scientist,...
Big data is dead, long live big data
Big data is dead, long live big data By Rafael Garcia-Navarro, Head of Analytics Experian UK&I The origin of the term big data is controversial at best, with fervent supporters and equally passionate detractors....
What is data blending
What is data blending By Oleg Roderick, David Sanchez, Geisinger Data Science, November 2015 1 Introduction 2 Comparable Topics in Applied Science 3 Expectations for Participants 4 History of Data Blending 5 Extending the Method 6 Conclusions 7 References Introduction Contest...
Self-Paced E-learning course: Advanced Analytics in a Big Data World
Self-Paced E-learning course: Advanced Analytics in a Big Data World SAS Training The E-learning course starts by refreshing the basic concepts of the analytics process model: data preprocessing, analytics and post processing. We then...
Transforming the Client Experience at the Private Bank using Machine Intelligence
Transforming the Client Experience at the Private Bank using Machine Intelligence Ayasdi White Paper- 2015 Delivering a Transformative Client Experience: A Strategic Priority Private banks strive to deliver superior client service through innovative and...
Creating Effective Risk Models Using Machine Intelligence
Creating Effective Risk Models Using Machine Intelligence Ayasdi White Paper- 2015 Why Effective Risk Models are Critical There is a growing need for financial institutions to have sound models in place that can accurately...