An international study surveying microbiome scientists found that when it comes to data reuse, a universal set of ethical guidelines driven by the scientific community needs to be adapted.

To drive results, data must shape decisions in real time. That means prioritizing clarity, ownership and follow-through. When ...

As AI reshapes business, traditional data storage is no longer enough. Enterprises must adopt lifecycle management to secure, ...

To improve AI translation, the language industry is shifting focus to model quality over size, with data curation as a key ...

Server, an open-source tool designed to make public data more accessible to AI systems. For developers, this means a ...

Emerging chiplet, memory, and interconnect technologies demand layered, automated solutions to deliver predictable ...

The goal of this TDWI Checklist Report is to provide organizations with a practical framework for evaluating their readiness to deploy data agents.

An effective onboarding process must be iterative. Feedback from new hires should be encouraged and collected regularly. This not only helps in adjusting current strategies to better suit employee ...

As corporate training shifts from a "benefit item" to a "strategic item", and as Gen Z employees enter the classroom with expectations of gamified learning, traditional trainers are facing an ...

With the widespread application of technologies such as high-throughput sequencing, large-scale clinical trials, and complex computational ...

Abstract: Agricultural remote sensing community is increasingly focusing on enhancing crop mapping accuracy by improving data-driven machine-learning model structures, yet ignoring impact of ...