One can seriously argue about what programming language is the best for data analysis, but there is one universal metric that can define your choice: speed of calculation...
Data-driven Marketing Strategy: Spatial Analytics for Micro-marketing Organizations, often in their me-too hurry to adopt a new technology, just pour their old-wine (data...
Financed smartphones are a magnet for identity theft, leaving retailers in the digital and telecommunication industry vulnerable to fraud. Consensus, a Target-owned subsi...
Why would a data scientist use Kafka Jupyter Python KSQL TensorFlow all together in a single notebook? There is an impedance mismatch between model development using Pyth...
Summary: The world of healthcare may look like the most fertile field for AI/ML apps but in practice it’s fraught with barriers. These range from cultural differences...
Every person and every organization in the world manages data, whether they realize it or not. Data is used to describe the world around us and can be used for almost any...
Data is changing the way we do business and live in our daily lives. Artificial Intelligence is replacing jobs and creating new ones at an increasing rate. Understanding ...
This article was written by Jean-Nicholas Hould. For the last six years, Jean-Nicholas has been working professionally in the field of data science. During those years,...
Data blending is the foundation for all analysis, which is why analysts reside in every department and within every industry. Yet not all analysts are driving the busines...
IBM, the 92nd in the Top 100 in the Fortune Global 500 list in 2018, according to the own Fortune Magazine websites, http://fortune.com/global500/ibm/, and IBM, as we kno...