Next Role for AI Agents: Recommending and Acting on Real-Time Choices
Use of AI agents is transitioning from systems that learn from decisions to systems that learn to improve the decision environment
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.
Why Industrial AI Efforts Need DataOps
Industrial organizations that adopt DataOps principles early can accelerate AI deployment, reduce costly integration delays, and establish a sustainable …
Taming AI Agent Sprawl in Industrial Organizations
To mitigate AI agent sprawl problems, industrial organizations must integrate discovery, governance, monitoring, cost control, and orchestration into a unified …
Real-time Analytics News for the Week Ending August 9
In this week's real-time analytics news: MLCommons announced results for its industry-standard MLPerf Storage v2.0 benchmark
Want to Make Your AI Investments Pay Off? Start with the Fundamentals
The ability to harness the potential of AI initiatives starts with a robust data infrastructure and a cohesive analytics strategy that tailors AI technologies …
AI: The Inherent Risks of the World’s Largest Lossy Compression System
Understanding the nature of how modern AI distills, stores, and reconstructs the world’s knowledge and the dangers it
How Manufacturers are Prioritizing Resilience in 2025
Manufacturers will rely on artificial intelligence, cybersecurity, and the shift toward integrated, end-to-end solutions in 2025 to ensure
Real-time Analytics News for the Week Ending August 2
In this week's real-time analytics news: The Linux Foundation welcomed the AGNTCY project, an open-source infrastructure that enables discovery, identity, …
How Synthetic Data Can Reduce Different Types of Biases Across Industries
Responsible AI development demands an ongoing commitment to mitigate bias throughout the system's life cycle. And synthetic data is an effective way to do …
Self-Service Alone Doesn’t Cut it for Customer Service
Self-service needs to be viewed in context as part of an overall customer experience (CX) strategy that involves both humans and