Upside


CEO Perspective: What's Ahead for Data and Analytics

From migration struggles to vendor lock-in, we look at some of the most challenging enterprise problems and changes ahead with Raj Verma of MemSQL.

Data Digest: Data Management and COVID-19

Read about how the pandemic has highlighted problems with data management and data sharing, plus learn how to use graph databases to explore related research.

Four Steps to Prepare Your Enterprise for Machine Learning

Machine learning can significantly automate generating insights from big data. Here's how to get started.

Why Users Find Password Management Stressful

Security managers face an uphill battle keeping passwords effective in their fight against data breaches.

Data Digest: New Applications for Advanced Data Techniques

How deep learning detects DDoS attacks, big data improves potatoes, and machine learning helps bees.

Data Stories: Looking at the Data on Police Officers and Violence

Here are some projects that have used data to examine disparities and bias when American police officers kill, use force, and issue citations.

Data Digest: Cognitive Biases, Augmented Analytics, and Hiring Data Pros

Why data scientists should be aware of cognitive biases, how augmented analytics can transform business data, and who should be hired for a strong data team.

Leveraging Data from OKRs to Drive Business Results

Are you measuring the right KPIs? Are your employees engaged and involved in setting and meeting these goals? Gtmhub's Seth Elliott offers practical advice.

The Evolution of Data Lake Architectures

For data lakes, as with any valuable enterprise data set, architecture is a requirement. But it is also a moving target, due to ongoing evolution.