The Hidden Costs of Backhauling Continuous Data to the Cloud
Backhauling data to centralized facilities no longer works in industries that have high volumes of continuous streaming data. That’s were adaptive edge …
How use of the cloud enables real-time analytics.
Backhauling data to centralized facilities no longer works in industries that have high volumes of continuous streaming data. That’s were adaptive edge …
In this week's real-time analytics news: MLCommons announced the results for the MLPerf Training v5.1 benchmark suite, highlighting the significant performance …
The network demands of today's distributed AI workloads was apparent throughout this week's annual Global NaaS Event
The cloud database market transitioned in 2025. It is no longer just “databases in the cloud.” It has become the data and AI control plane for the …
In this week's real-time analytics news: Snowflake made a number of announcements this week covering a range of application
Enterprises and the providers delivering services to support AI efforts essentially need AI connectivity as a service. That’s where network-as-a-service …
In this week's real-time analytics news: This week’s Confluent Current 2025 conference focused on bringing real-time data and AI together.
By integrating GenAI, automation, and now agentic AI capabilities into hybrid IT strategies, organizations can eliminate key adoption barriers, unlock the full …
Data gravity is inevitable. Decentralized storage, AI-driven orchestration, and provider-agnostic data fabrics can help make mobility a real option
Hyperscale platforms make it easy to access services that would be expensive and complicated to build from scratch. Such access is critical in meeting the …