Location, Location, Location Matters with Data, Too
Data location is increasingly important as it has consequences related to governance, application performance, and
Big Data technologies and use cases for real-time analytics. Big Data technologies, market insights, and use cases for real-time analytics.
Data location is increasingly important as it has consequences related to governance, application performance, and
Many businesses have become over encumbered with data, leading to data silos and inaccurate data processing. This has changed the role of the data scientist …
A modern ERP system provides the opportunity to add artificial intelligence (AI) to automate key analytic processes, making it quicker for employees to make …
Collaborative efforts will help transform Europe's cities and regions into the next era of
Manual efforts are no longer enough to ensure data quality. That's why data quality enhancement technology is an imperative.
Global hybrid cloud infrastructures make it all the much harder to protect data. Organizations are looking to AI-based approaches that give them insights to …
Red Hat OpenShift Database Access is a cloud service that simplifies how teams connect their apps to cloud-hosted partner databases. Across all clusters and …
The goal of data literacy is to build an environment where every employee has the resources and confidence to perform their own analytics or data science
Securing data during the cloud migration comes down to controlling access, which can be achieved via process improvements and modern data access
A data fabric can break down data silos to help improve safety analyses, enabling more refined signal detection, benefit-risk profiles, and risk management …