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Generative AI (GenAI) has the power to revolutionize how enterprises operate by enabling new levels of automation, efficiency, & innovation.

Businesses increasingly rely on metadata management solutions to enhance interoperability, streamline workflows, and improve governance.

In the dynamic world of data management, knowing technological trends is essential to maintaining competitive advantage.

Last week, I had the pleasure of attending the 18th Annual MIT CDOIQ event, held from July 16th-18th in the vibrant city of Cambridge, MA.

Data sprawl has emerged as a significant challenge for enterprises, characterized by the proliferation of data across multiple systems, loca

In this Webinar, Promethium Founder Kaycee Lai does a deep dive into Text-to-SQL outlining its benefits to hybrid cloud data architectures.

Kaycee Lai CEO & Founder Promethium The world of data and analytics is on the brink of a revolution, and as we enter 2024, it's crucial...

Today's complex and dynamic digital environment, the integration of diverse data sources and applications is a key challenge for businesses

When it comes to managing access to data on an organizational level, there are a number of models that are used the latest is data fabric.

A data fabric creates a virtual layer that joins all of an organization’s data with the process and platforms necessary for decisionmaking.

CRN has named Promethium to its 2022 Emerging Vendors list in the Big Data category.

The growth and increasing complexity of enterprise data architectures have created a need for the ability to query multiple dataset.

Data Silos have become something of a dirty word within the data management, analytics and storage industries because they make it difficult

As the variety of data being used to make data-derived decisions expands, the scope and requirements for metadata services also expands.

Here are a few tips for making your dashboard a go-to resource for your organization’s decision makers.

The Data Fabric concept pushes beyond traditional thinking and is a big idea for changing the way data is made accessible.

Extract, transform, load (ETL) describes the process of copying data from a single or multiple repositories into a new centralized system.

Augmented analytics involves using machine learning and natural language processing (NLP) to assist with data prep, analysis and reporting.

The industry has looked to several models to collect, store and impose order on an organization’s data. The Data Lake is one of them.

A data warehouse is a data management system designed to support business intelligence (BI) activities.