AI and BI are no longer separate conversations-they're converging into a more powerful discipline that's redefining the analytics landscape.

Security researchers have conducted an in-depth analysis of DragonForce ransomware that initially emerged in 2023 and has since evolved into what it calls a "ransomware cartel." The most recent ...

The relationship between data and daily operations is evolving. As teams manage shifting priorities and increasing information, interest is growing in methods that better align insight with action.

A data integration process that collects data from multiple sources, converts it into a standardized format, and loads it into a target system such as a data warehouse or database.

MongoDB, Inc. announced the integration of search and vector search capabilities with MongoDB Community Edition and MongoDB Enterprise Server. This announcement was made at its developer conference ...

WASHINGTON — The Army is undergoing a significant transformation, shifting its focus to a data-centric approach to ensure warfighting superiority in future conflicts, said Lt. Gen. Jeth Rey, deputy ...

The pharmaceutical industry faces pressure to improve the drug development process while reducing costs in an evolving regulatory landscape. This paper presents the Preclinical Information Center ...

Traditional data warehouses—once the backbone of business intelligence and reporting—are increasingly misaligned with today’s data demands. The surge in data volume, velocity and variety has exposed ...

What if the messy, unstructured text clogging your workflows could be transformed into a goldmine of actionable insights? Imagine sifting through mountains of customer reviews, clinical notes, or news ...

Blockchains are a treasure trove of data. The transparency and immutability of data in public blockchains make them a reliable resource for trustless verification and data analysis. The caveat is that ...

Abstract: This research intends to implement a data warehouse (DW) and ETL (Extract, Transform, Load) process to handle time-series data used by an XGBoost model to predict stock market prices. The ...