The End of the Dashboard Era: How AI-Native Analytics Are Taking Over

Enterprises are shifting from static dashboards to AI-native analytics that deliver faster, conversational, context-aware ...
CMS Wire

4 Ways a Semantic Network Energizes Your DAM

Every company that markets anything can benefit from digital asset management (DAM). That's a broad statement, but a true one. From a simple storage solution to a complex global platform, marketers at ...
Diginomica

ThoughtSpot deploys 'team of agents' to cover entire analytics workflow

ThoughtSpot's agent suite aims to provide a coherent analytics foundation as enterprises grapple with AI experimentation - but the semantic layer argument matters more than the agent count There is no ...
Nature

Process Makna - A Semantic Wiki for Scientific Workflows

Virtual e-Science infrastructures supporting Web-based scientific workflows are an example for knowledge-intensive collaborative and weakly-structured processes where the interaction with the human ...
TechRadar

AI Agents: why your enterprise needs a semantic layer for true intelligence

In AI, yesterday’s breakthrough is today’s baseline, so AI agents that simply retrieve information are no longer enough. The real game-changer lies in creating AI agents that truly understand your ...
InfoWorld

Semantic Kernel: A bridge between large language models and your code

Microsoft’s Semantic Kernel SDK makes it easier to manage complex prompts and get focused results from large language models like GPT. At first glance, building a large language model (LLM) like GPT-4 ...