In an era dominated by data, both Data Science and Economics offer powerful pathways—but through vastly different lenses.

Learn more about how Microsoft Sentinel data lake accelerates AI adoption, empowering teams to detect and respond faster ...

The major LLMs today are legal landmines, providing no visibility into training data that may violate copyrights, patents, ...

AWS' Luke Anderson shares how Oracle Database at AWS simplifies data unification, boosts AI innovation, and enhances customer ...

Apple has published report detailing how its new AI models were trained, optimized, and evaluated. Here are a few interesting ...

The evolving landscape of data architecture has shifted in the past two years with the arrival of AI capabilities -- ...

Deep research’ AI agents combine large language models with sophisticated reasoning frameworks to conduct in-depth, ...

While some business leaders buy large language models, others build their own. Here are five things you need to know.

Power BI Copilot knows about the relationship between measures and tables, which means that it’s very good at knowing which ...

“A strong data policy is the backbone of AI readiness,” Whippen says. “If your end goal is to identify use cases where AI can ...

With native support for Oracle Databases, the MCP server will allow developers to build AI agents that can autonomously query ...

Sai Krishna's work in text mining has earned him well-deserved recognition within his organization. His development of an RShiny-based machine learning workbench was a game-changer, leading to ...