In 2026, contextual memory will no longer be a novel technique; it will become table stakes for many operational agentic AI ...

The artificial intelligence money scramble continues all the way into the end of the year, as OpenAI may raise $10 billion ...

Overview Cloud analytics platforms in 2025 are AI-native, enabling faster insights through automation, natural language queries, and embedded intelligence.Marke ...

Customers in 10 of the company’s 23 regions had “operations fail or take an extended amount of time to complete.” ...

Oracle (ORCL) is well-positioned to benefit from AI adoption by leveraging its integrated infrastructure, database, and applications, differentiating ...

Database administrators are reinventing themselves. Data roams freely, AI is advancing, and governance is lagging behind. Yet the DBA remains indispensable.

Databricks and Snowflake are at it again, and the battleground is now SQL-based document parsing. In an intensifying race to dominate enterprise AI workloads with agent-driven automation, Databricks ...

Google is promising a single notebook environment for machine learning and data analytics, integrating SQL, Python, and Apache Spark in one place. Readers might note that other prominent vendors in ...

As part of the Data + AI Summit, Databricks announced a number of new features, including the launch of Agent Bricks, an automated method for creating customized AI agents for companies, and the ...

Today, at its annual Data + AI Summit, Databricks announced that it is open-sourcing its core declarative ETL framework as Apache Spark Declarative Pipelines, making it available to the entire Apache ...

Today’s “big data stack” includes databases, data management and integration software, and data analytics tools—all critical components of an effective operational or analytical data system. But all ...