In this week's real-time analytics news: The latest round of MLCommons Inference benchmark tests show that hardware and software advances optimized for generative AI have led to dramatic performance improvements over the past year.
Key advancements in AI-powered master data management within ERP systems enhances data accuracy, streamline business operations, and improves decision-making across diverse industries.
As organizations continue to rely on data for critical operations and innovation, effective metadata management will be essential for ensuring accuracy, security, and long-term value.
For organizations looking to scale automation beyond IT, the path forward is clear: stop creating more silos and start connecting business logic with orchestration logic in a shared control plane.
In this week's real-time analytics news: The NVIDIA GTC AI Conference delivered an abundance of announcements related to accelerating AI workloads.
As enterprises embrace AI, they face mounting pressure to safeguard data integrity and uphold rigorous compliance standards. Centralized data management and observability can help.
In this week's real-time analytics news: The Gartner Data & Analytics Summit focused on the next steps organizations must take to expand and operationalize their use of advanced analytics and AI.
In this week's real-time analytics news: IBM debuted the next generation of its Granite large language model (LLM) family.
In this week's real-time analytics news: HiveMQ announced the launch of HiveMQ Pulse, a next-generation distributed data intelligence platform.
Delivering seamless digital experiences in 2025 requires smarter monitoring systems, richer data collection, and sophisticated tools that reveal patterns across millions of user interactions. The companies that master these capabilities now will define the next era of digital business.