Data Digest: Unintended Consequences of New Technology

New technologies and techniques can bring great advances, or they can create malicious fake videos, traffic problems, and racial profiling.

Free Up Your Data Science Team with Augmented Data Management

To alleviate the drudgery of data preparation for your data science team, look for solution providers that are augmenting their data management platforms by using artificial intelligence, machine learning, and advanced analytics.

Guided Analytics and the Future of Data Science in the Enterprise

Using these four properties will help data scientists successfully establish the right environment for the next breed of smart applications.

Data Digest: Studying AI Evolution and Predicting Behavior with Machine Learning

How to approach the study of AI and how machine learning may predict risky behavior from police officers or patients.

Data Stories: Branding for Makeup, Snacks, and Online Shopping

Major brands and observers who analyze them both take advantage of modern data-driven insights. These visualizations explore diverse makeup shades, popular office snacks, and the spread of counterfeit goods.

Data Digest: Data Scientist Hiring, Retention, and Skills

How the data science hiring market is changing, how to retain data scientists, and what new skills data scientists need.

CEO Perspective: Data Engineering Key to Data Analytics

Despite the push into AI and ML, enterprises should be focused on the data platform.

Combining SQL and NoSQL to Support Information Context

A combination of relational and non-relational technologies opens the path for the level of adaptive, contextual information management urgently needed by modern business.

Q&A: Where Cloud Data Warehouses Are Headed

What characteristics do third-generation cloud data warehouses share?