The AI-ification of the enterprise has begun. This trend is expected to accelerate over the next few years, with spending on AI increasing to a staggering $47 billion in 2020.
Data modeling has fallen out of favor with the rise of big data, but the context provided by modeling will be critical to successful AI applications and algorithm-based decision making.
- By Barry Devlin
- November 22, 2016
Numenta reverse engineers the neocortex for computation and AI learning.
- By Martin Pacino
- November 18, 2016
Lead data scientist Alejandro Correa Bahnsen develops machine learning algorithms for fraud detection. He described for Upside the basic skills and personality traits he believes are necessary to succeed in data science.
- By James E. Powell
- November 9, 2016
According to Gartner, AI and new machine learning techniques will enable a new class of intelligent apps and intelligent things -- along with the emergence of so-called digital twins.
- By Steve Swoyer
- November 8, 2016
How advanced analytics can improve data centers, why enterprises need to be ready for more machine and sensor data, and 7 tools for better data visualizations.
- By Quint Turner
- October 19, 2016
Details of six popular analytics trends discussed at Strata Hadoop World that employ advanced analytics and/or make data consumable.
- By Fern Halper
- October 3, 2016
When you select any technology product, you need to do a thorough evaluation. Here are six important considerations for evaluating an advanced analytics product.
- By Lakshmi KP
- October 3, 2016