Learn about model risk, its causes, management strategies, and real-world examples from financial industry pitfalls. Unlock ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Site automation, agentic artificial intelligence and cloud connectivity will continue to change the role of the contractor from one of builder to conductor of all construction processes in 2026.

Discover the best cloud ETL tools for data engineers in 2025. Compare features, pricing, and use cases as we explore the most effective data integration solutions for modern organizations with ...

AI initiatives don’t stall because models aren’t good enough, but because data architecture lags the requirements of agentic systems.

Oracle is now offering Oracle Database@Google Cloud to customers in Canada. With the debut of the powerful multicloud service in Canada, customers can now run Oracle Exadata Database Service on ...

Striim, a global leader in real-time data intelligence for enterprise AI, today announced Validata , a new product for data validation and reconciliation at scale. Enterprise AI and agentic systems ...

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 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 ...

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.

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...