In descriptive analytics, data aggregation, and data mining techniques are used to collect and review the historical data of a business to gauge the past performance. The most common example of descriptive analytics is the reports that a user gets from …
I was privileged to deliver a workshop at Enterprise Data World 2024. Publishing this review is a way to express my gratitude to the fantastic team at DATAVERSITY and Tony Shaw personally for organizing this prestigious live event. Part 1 of this article …
Download the slides here>> This webinar is sponsored by: About the Webinar Master data is a key to digital transformation. All transformative projects require master data and usually many subject areas. What could you accomplish if cultivating …
In the contemporary data-driven business landscape, the seamless integration of data architecture with business operations has become critical for success. There is a symbiosis between sophisticated data architectures and operational agility that …
The latest installment in our Q&A series with women leaders in data features Sarah Denman, vice president of data science at 84.51°. (Read our previous Q&A here.) Sarah Denman knows all about managing large groups of people. She leads a team of …
A large language model (LLM) is a type of artificial intelligence (AI) solution that can recognize and generate new content or text from existing content. It is estimated that by 2025, 50% of digital work will be automated through these LLM models. At …
Business intelligence (BI) has historically been a platform for data and business analysts who build dashboards for executives to make decisions. But the generative AI (GenAI) explosion over the past 18 months has changed the game. People everywhere have …
The term “data architecture” refers to a collection of implementable standards and protocols that govern the collection, storage, preparation, sharing, and distribution of data. This predefined set of standards and protocols is designed to enhance the …
Homepage > Education Resources For Use & Management of Data > Webinars > Data-Ed Webinar: Data Modeling Types – Conceptual, Physical, Logical By Olivia Corso on July 11, 2024July 10, 2024 About the Webinar A model is developed for a purpose. …
Zero trust is taking the enterprise by storm. About two-thirds (63%) of organizations worldwide have fully or partially implemented the cybersecurity posture, Gartner reports, following the motto of “never trust, always verify.” This rush to zero trust …
By Michelle Knight on July 10, 2024July 9, 2024 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 …
OpenAI launched generative AI (GenAI) into the mainstream last year, and we haven’t stopped talking about it since – and for good reason. When done right, its benefits are indisputable, saving businesses time, money, and resources. Industries from customer …
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 …
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 …
Data sprawl has emerged as a significant challenge for enterprises, characterized by the proliferation of data across multiple systems, locations, and applications. This widespread dispersion complicates efforts to manage, integrate, and extract value from …
It’s easier than ever to use AI-generated images or text and to create synthetic data for use in research. A recent high-profile story got me thinking more about this question: When is it OK to use “fake” data? Before we dive into this, I’m putting “fake” …
In today’s digital era, cloud infrastructure has become the backbone of many organizations, providing the necessary resources to support diverse applications and services. The increasing complexity and scale of cloud environments have necessitated the …
Welcome to the latest edition of Mind the Gap, a monthly column exploring practical approaches for improving data understanding and data utilization (and whatever else seems interesting enough to share). Last month, we explored analytics architecture stuck …
It is crucial to stress the need to protect data in customer relationship management (CRM) systems because data breaches and cyber threats are becoming more sophisticated. The security measures are inadequate now; companies must constantly seek creative …
Homepage > Podcast > My Career in Data Season 2 Episode 22: Michel Hebert, VP, Professional Development, DAMA-I, & Consultant, Pixlog Inc By Natalie Raymond on July 3, 2024July 2, 2024 Welcome back to season two of My Career in Data – a …
