Data analytics has evolved beyond traditional forecasting and budgeting. It has become an active decision validation engine.

Edge AI opportunities and challenges. It is predicted that edge AI addressable revenue will reach $157 billion by 2030 1, so ...

Most data centers use air circulation or liquid cooling systems, which consume significant energy and water, to prevent chips from overheating and enable continuous 24/7 operation. The project ...

One key digital transformation hurdle for state and local agencies is working across siloed technology systems and databases.

This Checklist offers practical guidance: steps you can take to understand and respond to emerging global regulations, ...

This TDWI Insight Accelerator considers the challenges that organizations are facing with diverse, distributed data types and explores techniques and approaches that can help data engineers overcome ...

The best project management apps we've tested can help ... At PCMag, I review AI and productivity software—everything from chatbots to to-do list apps. In my free time, I’m likely cooking ...

However, I recently came across a tool that’s far more capable for my project documentation needs than every other option on ...

Background and objective Low-load exercise training with blood flow restriction (BFR ... training in clinical MSK rehabilitation (Research Registry; researchregistry91). Data sources A literature ...

The data arrive from the heterogeneous data sources to DSPA organized under the Measurement Interchange Schema (MIS), which is based on the project definition and allows matching each concept under ...

Fast-data-dev and kafka-lenses-dev support custom configuration and extra features via environment variables. RUNNING_SAMPLEDATA=1 In the sample topics send a continuous (yet very low) flow of ... the ...

The chief data officer of Standard Chartered bank discusses preparing for artificial intelligence. We also look at the networking implications of GPU-based AI datacentres. Read the issue now.