ZoomInfo's verified company, contact, and signal data now flows natively into the Databricks lakehouse through GTM.AI, so every model, score, ...

The Meta-Harness Omnigent combines AI agents like Claude Code and Codex under a common policy and collaboration layer – under ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

Customer identity and access management (CIAM) has moved up the priority list for most product teams. The platforms teams choose directly affect how smoothly users sign up, how quickly enterprise ...

Every data engineering team right now is being asked the same question: "How do we build a chatbot that talks to our data?" The prototypes are deceptively simple. A developer connects GPT-5.1 to a ...

Like every Big Tech company these days, Meta has its own flagship generative AI model, called Llama. Llama is somewhat unique among major models in that it’s “open,” meaning developers can download ...

Data doesn't just magically appear in the right place for enterprise analytics or AI, it has to be prepared and directed with data pipelines. That's the domain of data engineering and it has long been ...

The Databricks SDK for Java includes functionality to accelerate development with Java for the Databricks Lakehouse. It covers all public Databricks REST API operations. The SDK's internal HTTP client ...

Unity Catalog is a unified governance solution for data and AI on Databricks. It enables centralized access control, auditing, lineage and data discovery capabilities across Databricks workspaces. It ...

Rajkumar Kyadasu is a Lead Data Engineer with over 9 years of experience in data engineering, cloud infrastructure, and automation. Currently employed as a Lead Data Engineer, Rajkumar focuses on ...