Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results.

The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...

The world tried to kill Andy off but he had to stay alive to to talk about what happened with databases in 2025.

Explore Charles Handy’s management theory and how his four workplace cultures shape leadership, motivation and company ...

V3.2, a family of open-source reasoning and agentic AI models. The high compute version, DeepSeek-V3.2-Speciale, performs ...

APA has a mental health evaluation framework. I opted to augment the framework with an added focus on AI. Makes sense and is ...

A Case Study on How Brand Equity and Service Quality Shape Revisit Intention in Luxury Hospitality The hospitality industry is rapidly evolving through digital transformation, giving rise to hybrid ...

Contingency management theory says there’s no one-size-fits-all approach — leaders must adapt strategies based on people, ...

Google recently published a guide outlining eight essential design patterns for multi-agent systems, ranging from sequential ...

Objectives To examine associations between The Daily Mile, a school-based active mile intervention, and pupils’ physical ...

Artificial intelligence is changing the way portfolios are built and managed. For a long time, investors relied mainly on ...

On November 8, 2025, the Faculty of Education at East China Normal University hosted a grand ceremony to present the second ...