Abstract: Large Language Models (LLMs) have shown promising capabilities in supporting and automating a variety of clearly defined, structured tasks. The engineering of modular plants also follows ...

Enterprises face key challenges in harnessing unstructured data so they can make the most of their investments in AI, but several vendors are addressing these challenges.

Data teams, application owners, and IT all want agentic AI. Figuring out who funds it is complex - and the organizational ...

The OrgLimit Monitor c Abinaya Mettupatti Sivagnanam is designed to provide ongoing visibility into org limits and help teams ...

An intelligent KNIME-powered ML system that automatically detects and corrects UOM errors with enterprise-grade accuracy. Built on proven machine learning and physics-based validation, this platform ...

Discover the leading workflow automation tools for enterprises in 2026, empowering businesses to enhance efficiency, streamline operations, and embrace digital transformation with AI-enabled solutions ...

Salesforce, Agentforce, and others are among the trademarks of Salesforce, Inc. About Viz.ai ...

Heron Data, an AI platform that helps small business funders, fintechs and insurers automate document-heavy workflows, today ...

Enterprise software companies are racing to capture the AI automation opportunity, but exposure varies dramatically. We looked at Pegasystems (NASDAQ:PEGA), ServiceNow (NYSE:NOW), Microsoft ...

Managing just-in-time access at scale is a growing IAM challenge as speed and auditability collide daily. Tines shows how ...

Sometimes the simplest way to understand the cause-and-effect nature of automation is to start with the effect. Scenes are ...

Phenom, an AI vendor specializing in workforce analytics, has acquired Included, an AI-native people analytics platform.