Company blogs
Engineering and data science write-ups straight from the teams at 30 companies. Each one summarised in a line or two and sorted by subject. New posts are added every morning.
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Databricks introduced Spark Declarative Pipelines so AI agents can author over 70% of production data pipelines, simplifying pipeline creation.
Databricks deployed a real‑time energy trading and analytics solution on its platform, addressing needs beyond raw speed for trading desks.
Databricks outlined a new economics framework for AI cost management, helping enterprises control and predict AI spending.
Databricks built a Fraud Analyst AI coworker that detects telecom fraud in real time on a single platform, improving detection speed and coverage.
Databricks title "The AI Bill is coming" indicates a discussion about upcoming AI legislation.
Databricks announced AI Runtime with NVIDIA GPUs to simplify customizing open models using enterprise data.
Databricks announced the general availability of AI Runtime.
Databricks enabled deployment of RFD4‑Proteina on its platform, offering AI‑assisted development and serverless NVIDIA GPU compute for research data.
Databricks built MemCurrent, a persistent memory system for production AI agents, enabling state retention across runs.
Databricks introduced agent memory on Agent Bricks, allowing developers to store and retrieve state for AI agents.
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