Blockchain Security Revisited

Don't assume the built-in security of blockchain technology is sufficient for your enterprise. Here are seven concerns to evaluate.

Minimizing the Complexities of Machine Learning with Data Virtualization

How the features and benefits of data virtualization can make working with data easier and more efficient.

Data Digest: Data Science in HR, Employee Siloes, New Hiring Trends

How to use data science for hiring and retention, why you should avoid relying on one employee’s knowledge, and what the next big data role to hire might be.

Data Stories: How Color Helps and Hurts Data Visualization

Why you should avoid rainbow color schemes, alternatives to consider, and best practices for color use.

Data Digest: Advice for Data Scientists

Real challenges that data scientists face, steps to develop a great data science project, and how to tell if you need data science.

Data Democracy Now: Advantages, Issues, and Implementation

Bringing analytics closer to decision makers has long been a goal of both IT and business leaders. Data democracy is one important step toward maintaining competitiveness and promoting growth.

Data Cataloging Comes of Age

Organizations can take advantage of the latest data cataloging technology to bring users closer to a complete view of information.

Data Requirements for Machine Learning

Machine learning can enable new forms of predictive analytics and embed algorithm-driven intelligence into many software applications. However, none of that is possible without the right data, captured and processed the right way.

Data Digest: Machine Learning Languages, Multitenant Data Sets, Earthquake Detection

Why you should consider JavaScript for machine learning, training ML models on multitenant data, and how machine learning models are detecting aftershocks.