Most data products fail not because of bad data – but because nobody uses them. Here's how to build tools that actually drive decisions and get adopted.

At the University of Washington, one of the loudest is the growing backlog of deferred renewal needs across more than 200 buildings on its Seattle campus. These aging facilities increasingly threaten ...

Hex Technologies Inc., which provide an artificial intelligence-powered workspace for data science and analytics, today ...

The American Reliability & Maintenance Institute (ARMI) is launching a new training program designed to help maintenance ...

Sustaining this level of performance and usability requires an ongoing commitment to evolution. Companies need to always keep up with the growing complexity of their data and changes in the market to ...

As businesses become increasingly reliant on data to guide decisions, the role of the Chief Data Officer (CDO) has gained ...

Learn how Google’s Gemini API simplifies complex processes, empowering developers to build innovative, efficient applications ...

Abstract: We present Atlas, a procedural grammar for constructing data visualizations. Unlike most visualization grammars which use declarative specifications to describe visualization components, ...

Available across multi-cloud and hybrid environments, Cloudera Data Visualization includes integrated AI visualization and natural language querying for enterprises to improve collaboration and ...

But that can’t be said for data engineering tasks. “If you need to perform a specific transformation on a thousand-column Snowflake data warehouse, there are often only one or two correct ...