Anthony J. Algmin believes Data Architecture is moving from a time of chaos and tangles into something more clean and organized. Speaking at the DATAVERSITY® Data
It is no big secret that insurance companies sit on potential goldmines of data. But extracting value from that data is easier said than done,
The digitization of our workplace is causing more and more tasks to be automated, which is causing another shift in how we value human contributions.
In the search for developing the best data architecture for an organization’s present and future requirements, there are many options that enterprises can go for.
Data governance is dead. Here’s how we can resurrect it. Image courtesy from Castor This article has been co-written with Molly Vorwerck, Head of content at
SDG Group presenta por cuarto año consecutivo su informe sobre las principales tendencias que arrasarán en el mercado y que ponen el foco en los avances
Garbage training data in, garbage model out. Here are four things to address to solve data quality problems. Machine learning (ML) and other forms of
Relationships between businesses and their data are transforming. By embracing an end-to-end mindset, organizations will be able to transform data into business value to a
en. Las cuentas regresivas hacia los Mundiales tienen pliegues no siempre visibles para los fanáticos del fútbol. Se trata de elementos que marcan el punto
From Descriptive to Autonomous Analytics Digital Transformation is about creating an organization that continuously explores, learns, adapts, and re-learns. Wash, rinse, repeat. Every customer engagement
