Studies Find Scaling Enterprise AI Proves Challenging
To successfully scale enterprise AI, organizations must focus on enterprise productivity, rather than just individual task
Topic: Artificial intelligence technologies
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.
Addressing the Hidden Security Risks of AI Agents in Industrial Operations
Industrial organization using AI agents must treat them as first-class citizens in the security architecture, not just as tools.
Are We Ready for the Real-time Demands of AI? Survey Says No
The ability to observe, monitor, and if necessary, intervene in AI-driven processes in real time has become the most pronounced challenge for enterprises of …
Shadow MCP: Find the Ghosts Hiding in Your Codebase
Model Context Protocol (MCP) could cause unauthorized connections to AI models in your codebase. This article explains how.
AI Agents are Here, and They Highlight a Major Weakness in Enterprise Integration
The arrival of Agentic AI is the catalyst for a much-needed transformation in enterprise integration. By embracing an event-driven model, businesses can …
Engineering Document Management Enters a New Era with AI
AI is reshaping engineering document management, moving it beyond static file storage to dynamic, decision-ready documentation
In The Face of Tariffs and Trade Wars, Optimize Your Business With AI
AI capabilities will be a prime differentiator for chemical and energy companies in gaining an unprecedented view and understanding of relentlessly complicated …
Real-time Analytics News for the Week Ending August 30
In this week's real-time analytics news: A light week for announcements leading into the three-day weekend U.S.
Why Managing Non-Human Identities (NHIs) Must Be a Central Concern for Identity Access Management
As NHIs become the dominant population in enterprise environments, organizations must evolve their IAM strategies to keep up. That evolution starts with …
First, Digital Twins of Patients, Now a Digital Twin of a Doctor
The digital twin is not intended to serve up medical advice, but serves as a first-line awareness and educational tool that helps users better understand …