In modern enterprise data platforms, data quality and data governance protocols are essential to ensuring the reliability, ...

Data drives smart decision-making in modern industries, but the old saying still holds true: “Garbage in, garbage out.” The quality and completeness of the data pulled for analysis play a huge role in ...

Torgny Fornstedt describes how machine learning can work in practice for oligonucleotide analysis.

For biologists, DNA microarrays present at once unprecedented opportunities and monumental challenges. In the opportunities column, microarrays produce genome-wide gene expression snapshots, ...

Generative AI Assessment: Development of specialized evaluation protocols for non-deterministic systems. Sophisticated ...

In an accounting or ERP system, most of the data must be right, period. If invoices, accounts receivable, inventories, work-in-process numbers, ECAD files are “best guesses,” someone will lose their ...

Despite rapid growth, only 9.2% of DCTs are multiregional and over 80% single-country, indicating challenges in international implementation. 2 With regulatory agencies 4–7 underscoring risk-based ...

Diwali's vibrant celebrations took a somber turn as Delhi's air quality monitoring infrastructure faced an unprecedented ...

The world runs on data. A hallmark of successful businesses is their ability to use quality facts and figures to their advantage. Unfortunately, data rarely arrives ready to use. Instead, businesses ...