DocSpace 3.1 has new functions for virtual data rooms and a revised data and guest management system. There is also storage ...

Detecting macro-defects on wafers and tracing them to their root cause is getting easier due to tool improvements and traceability advancements.

Increasing complexity of semiconductor devices necessitates a fundamental rethinking of defect detection methodologies.

The protection of the public safety is the first responsibility of local government and local officials have an obligation to ...

In today’s era of digital transformation, artificial intelligence (AI) is redefining the way databases are managed and optimized. Traditional database performance tuning, which has long relied on ...

Database administration (DBA) plays a pivotal role in the age of digital transformation, acting as the backbone of how data ...

Learn how to master Microsoft Access with this comprehensive guide to database management, from core features to advanced ...

Moreover, in traditional data management, uses of data are not well-documented, and data is often collected in siloes across various repositories, multiple systems and platforms. Organizations lack ...

In an era where digital transformation is reshaping industries, cloud-based Master Data Management (MDM) has emerged as a crucial innovation in enterprise data strategy. With organizations generating ...

Right now, more data is stored in -- and headed to -- the cloud than ever before and most organizations today are heavily focused on increasing its value through advancements in data analytics and AI.

In the dynamic environment of biotechnology trials, the significance of Clinical Data Management systems (CDMs) cannot be overstated. As we navigate the complexities of these trials and the ...

Universities must tighten the quality of the data entered into AI models to improve the output generated by tools such as chatbots. Universities have been cautious adopters of artificial intelligence.