Enables Real-Time, Zero-ETL Graph Queries on the Databricks Data Intelligence Platform Databricks Managed Iceberg Tables, launching in Public Preview at this year’s Data + AI Summit, offers full ...

At Knowledge 2026, ServiceNow expanded its AI control tower with agent governance as markets question the future of SaaS ...

LakeFusion, a Databricks-native Master Data Management (MDM) platform, has closed a $7.5 million Seed round led by Silverton ...

The real future of enterprise AI is a structured architecture of private models and agent orchestration that works for teams ...

Enterprise intent to adopt hybrid retrieval tripled from 10.3% to 33.3% in Q1 as first-gen RAG architecture failed at agentic ...

Multi-cloud strategies are transforming how enterprises manage data, blending AWS, Azure, GCP, and Databricks for flexibility, resilience, and cost control. With orchestration, performance tuning, and ...

Chicago-based startup removes barrier between raw, unstructured data and the tools analysts already use, making every ...

Cloud and AI infrastructure strategies are shifting from centralized hyperscale data centers toward distributed and federated models, driven by security, latency, and resilience needs. Recent expert ...

Google is recasting its data and analytics portfolio as the Agentic Data Cloud, an architecture it says is aimed at moving enterprise AI from pilot to production by turning fragmented data into a ...

Google's Agentic Data Cloud rewires BigQuery, its data catalog and pipeline tooling around autonomous AI agents — not the human-scale queries enterprise data stacks were built for.

This Pew Research Center analysis summarizes key facts about Native Hawaiians and Pacific Islanders (NHPIs) living in the United States. Pew Research Center does demographic studies, opinion polls and ...

Databricks has outlined a reference architecture for a multi-agent AI system, named AiChemy, that combines internal enterprise data on its platform with external scientific databases via the Model ...