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

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.

Introduction What is the difference between records and data? What differentiates records managers from data managers? Do ...

From improving compliance to reducing manual workloads, today’s AI tools are helping financial institutions transform ...

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 ...

Data science techniques are the tools in a data scientist's toolbox — each one suited to a specific kind of problem. Whether it's sorting, predicting, or discovering hidden patterns, there's a method ...

Link. This AI is very good at doing classification tasks that require unstructured and structured data. In a quality process, it could identify the production defects.

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 ...

Collibra, the leader in unified governance for data and AI, today announced the acquisition of Deasy Labs, a pioneering startup specializing in automated discovery and enrichment of unstructured ...