Computerwoche's Martin Bayer sat down with Thorsten Hermann, SVP technology and Germany country leader, at Oracle to discuss ...

Why does enterprise AI stall at scale? Leaders from Salesforce, IBM and Snowflake say the answer lies in how your data moves ...

Structured Outputs use cases would fit within the augmentation tier of the Agentic AI Value Pyramid, 11 leading to early wins ...

A Database Management System (DBMS) is software that facilitates the creation, retrieval, update, and management of data in a structured and organized manner. In small business contexts, DBMS ...

Businesses have always relied on data, but they never were able to get full value out of them when they were siloed by structure, system, or storage.

How can AI help with discovery and management of unstructured data? The recovery and identification of unstructured data is one of the oldest tasks in IT.

Google updates its structured data documentation to clarify how merchants should implement return policies and loyalty programs.

The full digital twin is projected to reach 22 petabytes (22m gigabytes) in size, making data-driven decision-making challenging. To provide an intelligent way of searching the data within the system, ...

Integrating Gemini CLI with an MCP server, such as Bright Data, streamlines data extraction workflows by allowing secure configuration, API token management, and advanced tools for structured data ...

In a lively and insight-packed session at the 'How To Take Unstructured Data from Chaos to Clarity' Summit today, data expert Karen Lopez outlined a 7-step roadmap to help IT pros wrangle unstructured ...

Companies redefine how unstructured data is governed, integrated and activated for agentic AI, signaling a new era of scalable, trusted AI platforms.

Data agents are autonomous systems that ingest unstructured inputs – from emails, chats, PDFs, product logs – and map them to structured formats using a shared ontology.