digna's new release adds global database connections, multiple source connections per project, logical datasources, anomaly relevance conditions, module-level notification settings, and CSV exports.
The data engineer started as a casual reader of the Jeffrey Epstein files. Then he became obsessed, and built the most ...
Microsoft has made Fabric IQ's business ontology accessible via MCP to any AI agent from any vendor, targeting the core reason multi-agent systems fail in production: agents operating from conflicting ...
The database of 200 million protein-structure predictions now includes homodimers, adding new biological relevance.
VIENNA, VIENNA, AUSTRIA, March 13, 2026 /EINPresswire.com/ — digna announced that a large-scale enterprise data warehouse operated for twelve consecutive months without executing traditional manually ...
The launch of Genie Code, analysts say, signals Databricks’ growing ambition to turn its lakehouse platform into the environment where enterprise AI systems build, run, and manage data workflows.
One Model, the #1 People Analytics platform for the enterprise, today announced record momentum in 2025--driven by enterprise adoption, durable retention, accelerating global go-to-market execution, ...
Oracle Corp. today announced the general availability of Oracle AI Database 26ai and Oracle Autonomous AI Lakehouse, both aimed at supporting artificial intelligence training and inference across ...
Redgate Data Modeler Reflects Redgate’s Commitment to Delivering Unified, Multi-Database Development
Redgate Software, the end-to-end Database DevOps solution provider, is launching Redgate Data Modeler, a new SaaS-based data modeling tool that enables teams to collaboratively design, document, and ...
Years ago, before the rise of the gig economy, people developed their careers over time, often more slowly than desired. Folks who became DBAs, Data Modelers, or Data Architects had a rule-following ...
A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.
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