Understand the potential of machine learning, how delivery logistics is improving with analytics, and how leaders in the IoT space differ from those falling behind.
- By Lindsay Stares
- January 12, 2017
Learn why you should design tools for people with low technical skills, how many homes in the U.S. have a computer, and where the fastest Internet is.
- By Lindsay Stares
- January 11, 2017
Three examples highlight the power of machine-learning predictive analytics.
- By Sameer Nori
- January 11, 2017
It’s 2017, and there are many exciting developments anticipated in the data world. Make sure you’re ready to prepare for new technology trends.
- By Lindsay Stares
- January 10, 2017
Identifying hidden machine-learning debt is just the first step in becoming debt free.
- By Paul Pallath
- January 9, 2017
How to reduce bias in data analytics, avoid issues with security-focused data lake projects, and learn from recent failures in predictive analytics.
- By Quint Turner
- January 9, 2017
This advice will help you use IoT to improve your bottom line, learn Internet of Things basics, and pick a BI tool that fits your enterprise’s needs.
- By Quint Turner
- January 5, 2017
Think of "hybrid integration" as a new paradigm for data and application integration. It's tailor-made for enterprises in which IT resources live both on premises and in the cloud.