Data integration is utilized to integrate heterogeneous data from multiple sources, representing a crucial step to improve information value in data analysis and mining. Incorporating machine and deep ...

Qlik Expands Integration with the Databricks Data Intelligence Platform New capabilities—including real-time UniForm table streaming and Iceberg optimization—accelerate Delta/Iceberg ...

Snowflake (Nasdaq:SNOW) has introduced a new multi-modal data ingestion service — Openflow — designed to help enterprises solve challenges around data integration and engineering in the wake ...

Riot Platforms Taps Data Center Veteran to Expand Beyond Bitcoin Mining Jonathan Gibbs will lead Riot’s push into enterprise-grade data centers for AI and cloud computing.

Industry analysts explain how Salesforce's $8 billion Informatica acquisition will transform enterprise data management and accelerate agentic AI adoption .

This cloud-based solution provides powerful and easy-to-use tools to connect systems, automate workflows and ensure data consistency across hundreds of internal systems and external data sources.

Microsoft Fabric upgrades aim for better integration of data and AI agents The analytics platform got a raft of new capabilities at Build 2025. Written by Tiernan Ray, Senior Contributing Writer ...

Despite these advances, challenges remain, with around 47% of healthcare leaders citing data quality and integration issues as major barriers to AI adoption and 39% expressing concerns about ...

Veeam unveiled dual innovations to strengthen enterprise cyber resilience: an AI integration with Anthropic’s Model Context Protocol (MCP) to transform backup data into actionable intelligence, and ...

Andrew A. Beveridge, Who Found the Unexpected in Census Data, Dies at 79 With his own research group and as a professor at Queens College, he plumbed raw data for often-surprising insights about ...

The GIDE X events aim to tackle technical and systems integration issues that can keep operators from leveraging command-and-control capability upgrades.

The application of Internet of Things (IoT) technologies and big data analytics for real-time handling of agro-food waste is a major problem in the agro-food sector.