
Volume 343, Issue 4 · 12 articles from 2 issues
Databricks AI Search now natively indexes Streaming Tables, Materialized Views and Managed Iceberg tables alongside Delta. Read more
Databricks Research introduces MemCurrent, a persistent memory architecture to improve agent quality and efficiency. Read more
Databricks explains how to measure, attribute and control AI spend across models, agents and teams. Read more
Databricks AI Runtime brings NVIDIA software and serverless GPUs to enterprise data for fine-tuning and training open models. Read more
Databricks adds serverless cost controls including rate limits now, with shared budgets coming, alongside tagging, access controls and budget alerts. Read more
Databricks outlines a phased framework for migrating from Google BigQuery to the Databricks Lakehouse. Read more
Databricks launches agent memory in beta on Agent Bricks, built on its MemCurrent research and running on Lakebase. Read more
Databricks announces general availability of Real-Time Mode for Spark Declarative Pipelines, with millisecond end-to-end streaming latency. Read more
Databricks releases Vital Skills, open-source Agent Skills that give Genie Code healthcare and life sciences expertise. Read more
Databricks summarizes a DataIQ report on five leadership disciplines for turning enterprise AI ambition into sustained value. Read more
Databricks shows how an AI coworker on one platform can help telecoms detect account takeover and SIM swap fraud in real time. Read more
Databricks argues voice agents deliver value only with customer context, and describes its DIVA blueprint for grounding them in governed data. Read more