Copy
Top Data Science News, Articles and Job Posts from Dataconomy. 
View this email in your browser
Tweet
Share
Forward

Top Articles

Predictive Machine Learning — Behind The Scenes at Fliptop (and Predictions for the Future of MarTech)

By Doug Camplejohn on May 06, 2015 11:37 am
2Big data is a big deal. Unfortunately, due to the sheer volume and velocity at which its created, many organizations still struggle to make sense of their data. Furthermore, because data is dispersed across so many disparate platforms (e.g. marketing automation, CRMs, Google Analytics, etc.), it’s become increasingly difficult to merge and analyze this data in meaningful ways. In recent years, however, technology has made it easier to bridge the gaps between siloed data sources, and provide a unified view of data across platforms. Historical data can then be analyzed to identify patterns in past performance, and predict future outcomes. Paired with the right technology, big data has ushered in a new era of data-driven sales and marketing—the age of the Predictive Enterprise. While predictive technologies may appear simple on...
Read in browser »
share on Twitter Like Predictive Machine Learning — Behind The Scenes at Fliptop (and Predictions for the Future of MarTech) on Facebook

Man and the Machine Partner to Solve the Big Data Dilemma

By Nenshad Bardoliwalla on May 04, 2015 11:22 am
Man Machine  Big Data PaxataThe collision between people and big data has caused an explosion of machine learning innovations, with one natural home being in modern data preparation – the steps of understanding, cleaning, shaping, and correlating data prior to it being ready for analytics. For thirty years, there have really only been two data preparation processes: first, the human-led, coding and scripting, trial-and-error approach, which can’t scale when datasets are constantly changing and being generated regularly from new disparate sources. The other: the rigid path of ETL (Extract, Transform, Load), where a schema and set of mappings was built and could not be changed without an act of Congress. Neither of these options allows for people to process, analyze or derive insight from the volumes of data they are collecting, as rapidly as...
Read in browser »
share on Twitter Like Man and the Machine Partner to Solve the Big Data Dilemma on Facebook


Recent Articles:

How Zalando Used Bayesian Statistics to Save Loads of Money
Presto versus Hive: What You Need to Know
Implementing the Five Most Popular Similarity Measures in Python
The 7 Most Unusual Applications of Big Data
Data as the New Currency

Top News

 

 

Filling or root canal treatment: Ask Overjet AI

Overjet dental AI program's aim is to remove the guesswork out of the diagnosis process so every professional can offer the right treatment to their patients.Think about different dentists examining the same X-ray images; don’t you think it’s strange that they recommend different treatments? The Overjet Dental AI program aims to remove the guesswork from the diagnosis process so every professional can offer the right treatment to their patients. You might imagine a hospital radiologist
 

HyperTaste: AI-based e-tongue analyzes the chemical composition of liquids

IBM Research scientists developed HyperTaste, a chemical taste sensing tool.Is it feasible to build a computer with a sense of taste? In response to this question, IBM Research scientists developed HyperTaste, a chemical taste sensing tool. It performs analyses and detects the chemical composition of liquids using its “electronic tongue” status. Can computers have a sense of taste? “HyperTaste
 

Dataconomy Job Board

No RSS items found.
Copyright © 2015 Dataconomy Media GmbH, All rights reserved.


unsubscribe from this list    update subscription preferences