Deploy sliding time windows that continuously analyze supply chain and operations data streams. A 30-minute window can ...

What truly sets an AI data assistant apart is how well it understands your business processes and data schema with minimal ...

It’s clear why no manufacturing executive wants to bet everything on a pure data model. Centralized architectures are robust, ...

This is the crux of the organizational challenge. Business units want AI capabilities now. Technology teams understand that ...

Our annual survey shows that inventory challenges persist, but adoption of automation and technology remains strong, supported by rising CapEx budgets. The survey also highlights shifts in DC building ...

ClickHouse leverages agentic analytics internally with LibreChat-and-ClickHouse-powered DWAINE (Data Warehouse AI Natural ...

Confluent is positioning itself as the "context layer for enterprise AI" with new capabilities that aim to solve the problem ...

Medical device makers use AI to turn EU regulatory challenges into competitive advantages via supply chain optimization.

Autonomous agents are in production augmenting human teams, optimizing processes, and unlocking new efficiencies. But it’s a ...

High performing companies behave like decision factories where raw data arrives, quality checks and transformations standardize it, experiments produce evidence, optimizers select actions, and ...

As of 22th of October, LME zinc stocks have headed down to roughly 34,700 tons, with only 24,850 tons of on-warrant inventory ...

Davis has noted a bit of acceleration in regard to the remodel cycle in retail. This depends, of course, on the retailer and their revenue steam. If a standard cycle for a full remodel is ten to 15 ...