Data Digest: Machine Learning, BI in the 21st Century, and Analytics Battles Privacy
Can a robot perform analytics on big data, plus using modern tools to manage unstructured big data and data analytics vs. consumer privacy.
- By Quint Turner
- March 10, 2016
Data analytics is currently a job for a person, but in the pursuit of efficiency, some enterprises hope to craft a robot that can more effectively analyze the huge amount of data produced every day. This article covers the progress of this revolution and the future of machine learning in analytics.
Read More at Information Management
BI has changed with the advent of big data. It has become much harder to get the same leverage past BI tools gave because of the rise of unstructured data. This article covers how to bring BI into the 21st century by using modern tools to combat this modern problem.
Read More at Computer Weekly
Data analytics can only be as effective as the data it collects. For the most part, it has not been tricky to get consumers to give up their information, but many factors -- from the public data breaches to new regulations -- threaten that original trust between consumer and enterprise. This article reviews the major problems that big data is threatened by due to this social shift and foresees other concerns as well.
Read More at CMO
Quint Turner is an editorial intern at TDWI and an undergraduate English student at Skidmore College. Follow his blog at pungry.com.