When AI teams deliberately and carefully design their training datasets, they can actively reduce bias, mitigate risk and improve model reliability.

Integrating structured frameworks has become crucial in a time where industries are powered by complex systems to main ...

Embeddable, enterprise-ready agentic AI delivers trusted, scalable, and embeddable AI for enterprises worldwide. SAN ...

Every effective GenAI project focuses on at least one of four strategic objectives: increased revenue, decreased cost, ...

Peter Guerra, Global Vice President of Data and AI at Oracle, discussed prioritizing data governance, integrity and accessibility in federal systems. He highlighted the race to modernize federal data ...

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From AI dashboards to predictive models, the state Department of Transportation is creating a pathway toward tech-driven ...

AI organizations are under growing pressure to prove they’re building responsibly, but most still treat ethics as something to tidy up after deployment, rather than design in from day one. In practice ...