With the ever-increasing volume of data generated, Intelligent Data Capture is a tool for revolutionizing data management. By automating the extraction, validation, and integration of information from various sources, businesses enhance accuracy, reduce operational costs, and make data management scalable.
With protocols like MCP, models are no longer just responding to prompts. They are actively reasoning about the tools and steps needed to complete a task.
In this week's real-time analytics news: NVIDIA and its partners made multiple AI-related announcements at COMPUTEX 2025.
The Data Immediacy Readiness Scale: Navigating for Real-Time Decisions Traditional boundaries between real-time processing and batch processing are already disappearing in modern enterprises. Real-time access to critical data is crucial for mission-critical decisions. Having the right technology partner can dramatically accelerate progress. Cloudera offers a compelling advantage for organizations at various stages of the Data […]
Data immediacy is not a buzzword; it's a capability that separates leaders from laggards in the modern enterprise. The Data Immediacy Readiness Scale provides both a diagnostic and a roadmap for modern organizations.
In this week's real-time analytics news: IBM announced a number of new technologies to scale enterprise AI.
In this week's real-time analytics news: Oracle teams with NVIDIA to support next-gen reasoning models and AI agents.
In this week's real-time analytics news: MIT focuses on making AI-generated code more accurate in any language.
An intent-based framework allows organizations to securely adopt AI technologies by understanding critical use cases, integrating AI with targeted policies, and providing advanced tools, all while safeguarding sensitive data.
In this week's real-time analytics news: Google and many of its partners made announcements at the Google Cloud Next 2025 conference.