AI agents fail at data and code tasks not because they can't write SQL, but because they lack semantic context — the meaning of the data itself.

Infor unveiled an expanded Infor Industry AI architecture and the next evolution of Infor Velocity Suite on October 6, 2026, alongside new global research in which 68% of surveyed business ...

Anaconda, the trusted foundation for AI-native development, today announced new capabilities across the Anaconda Platform that pair agentic development with autonomous security testing. The expansion ...

Vision Board EdTech, a career-focused training platform for Azure Data Engineering and Generative AI, reports that about | ...

Growth like that invites a fair question: is this a lasting career, or does the hype cycle have a new name? The ...

Genie Code helps you write, debug, and understand code in your Azure Databricks notebooks using natural-language prompts, slash commands, and AI-based autocomplete. What can Genie Code help with?

How much control are you willing to give an LLM over your digital life? Getting the most value from a model means giving it the keys. For a control freak or the AI-hesitant, it seems like a lot. For ...

The Databricks workspace is purposefully built for data analysis and data engineering. However, you might prefer using local IDEs and the CLI to take advantage of your own tooling and coding agents ...

LLM applications fail in ways traditional software does not. The same prompt can produce different outputs. A retrieval step can return the wrong document while every HTTP status reads 200. An agent ...

In an internal benchmark using its own codebase, Databricks found that the Chinese open-source model GLM 5.2 is statistically on par with Anthropic’s Opus 4.8 in terms of performance, but is ...

Lakeflow Jobs Notebook orchestration (recommended) Recommended method for orchestrating notebooks. Supports complex workflows with task dependencies, scheduling, and triggers. Provides a robust and ...