Kill the Dinosaur: Why Legacy Data Governance Is Holding Back the AI Era
The AI era demands better data systems. Organizations must recognize that yesterday's tools of governance are holding them back and they must put in the hard …
Looks at issues related to artificial intelligence technologies, including cognitive computing, deep learning, and machine learning. Considers also supervised and unsupervised learning and natural language processing.
The AI era demands better data systems. Organizations must recognize that yesterday's tools of governance are holding them back and they must put in the hard …
In this week’s real-time analytics news: MCP continues to gain momentum with multiple vendor announcements for support of the protocol.
While technical applications like content generation and coding assistance still rank highly, the dominant theme this year is “Personal and Professional …
Enterprises that want to succeed with agentic AI must structure business knowledge so AI agents can reason effectively, moving beyond fragmented data pipelines …
As international trade becomes increasingly digital, Agentic AI will be the layer of intelligence that bridges regulation with execution. Freight operators who …
AI will help change financial communications surveillance from a rules-based morass of red herrings to a surgical, risk-based discipline, freeing up time to …
The promise of visual AI in industrial environments is clear, but the road to scale is littered with challenges. Models don’t generalize well, and even when …
As energy systems become more decentralized, automated, and data-driven, real-time visual intelligence is poised to play a more critical role in supporting …
In this week’s real-time analytics news: The Databricks Data + AI Summit yielded numerous announcements from Databricks and its partners.
Organizations that effectively integrate intelligent AI solutions into their core functions, leveraging data and real-time insights, will lead in their …