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What Is Data Literacy? Definition, Components, Uses

Data literacy (DL) describes how well an individual or organization understands, works with, analyzes, visualizes, and applies data to reach their goals. The specific context and use case determine what applying data literacy looks like in practice. For example, while reading visualizations on product deliveries provides value, true data literacy involves going further. It involves actively […]

Implementing Data Fabric: 7 Key Steps

Understanding the importance of data integration is vital in the intricate process of implementing a data fabric. Data fabric architecture aims to create a unified and integrated environment for managing an organization’s data sprawl across various platforms and systems. Within this context, the data integration step ensures disparate data sources are seamlessly connected, enabling a fluid exchange […]

EEDL Webinar: How Literate Is Literate Enough?

Download the slides here>> About the Webinar Experts differ in their opinions about the levels of literacy required by workers – from basic terminology to advanced analytic skills for everyone. Some feel that different jobs require different levels of literacy, others believe that all professionals need a grounding in research methods and data validity. But […]

The Changing Role of the Chief Data Officer

In a 2005 interview, Usama Fayyad described his recent appointment as Yahoo’s chief data officer (CDO), a role that had been introduced in the business world only a few years prior. He defined a CDO as: “Someone to lead all strategic data activities and to represent data as a strategic asset that DRIVES business and […]

AAA Webinar: Training Pre-Trained AI Models

Download the slides here>> About the Webinar In this webinar, we will provide best practices using pre-trained AI models, such as natural language processing, computer vision, or speech recognition. We will cover how to select and fine-tune the appropriate models for different scenarios and applications, how to evaluate and improve their performance and accuracy, and […]

Data Ethics 101

Data ethics ensures that businesses handle data – beginning with its acquisition and ending with its distribution – with full attention to individual rights, privacy, and consent. Moreover, ethical decision-making in businesses has to strike a balance between technology and morality to preserve individual rights.  This includes considerations around transparency, accountability, and fairness in the […]