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
How real-time data is used in business analytics, including predictive, descriptive, and prescriptive uses. Edge analytics is also explored.
Use of AI agents is transitioning from systems that learn from decisions to systems that learn to improve the decision environment
Modern manufacturing requires more than traditional management strategies, specifically it needs manufacturing data analytics (MDA). However, a recent study …
In this week's real-time analytics news: MLCommons announced results for its industry-standard MLPerf Storage v2.0 benchmark
In 2025, predictive analytics is being widely applied across industries to anticipate events, optimize operations, and personalize experiences in real time.
In this week's real-time analytics news: The Linux Foundation welcomed the AGNTCY project, an open-source infrastructure that enables discovery, identity, …
Self-service needs to be viewed in context as part of an overall customer experience (CX) strategy that involves both humans and
In this week's real-time analytics news: AWS announced the open source release of Spark History Server MCP, an MCP server that enables AI assistants to access …
Industrial AI won't transform an organization's operations unless its data is organized, understood, and
With advanced technology, farmers can gain valuable insight into soil conditions, allowing them to make informed decisions that support both short-term …
In this week's real-time analytics news: Multiple companies make their solutions available in the new AI Agents and Tools category of AWS