Data Digest: Big Data Not Foolproof, 5 Important IoT Lessons, Keeping IoT Data
Learn how human insight is still necessary to get value out of big data, 5 hard truths you need to know about building an IoT project, and which IoT data you should store for later analytics.
- By Quint Turner
- June 14, 2016
Machine learning and big data give people the idea that error-free algorithms will create an error-free world. Unfortunately, as this article points out, these machines are far from perfect. This article explains why the best uses of big data require a mix of machine and human insight.
Read more at Datanami
From sensors that lie to data that obscures the big picture, this article uncovers some difficult truths about getting value out of IoT projects.
Read more at TechRepublic
The main draw of IoT is that enterprises will be able to practice real-time analytics as soon as the data comes in. Although not all data is worth keeping after that window, according to this article long-term storage of certain IoT data can provide value.
Read more at Database Trends and Applications
Quint Turner is an editorial intern at TDWI and an undergraduate English student at Skidmore College. Follow his blog at pungry.com.