The latest installment in our Q&A series with women leaders in data features Angel Vossough, CEO and co-founder of BetterAI. (Read our previous Q&A here.) Angel Vossough spent over a decade working as a network engineer before she founded her first startup, a data-driven company that helped women professionals excel in their careers. During COVID-19, Vossough […]
Knowledge Graphs: Context, Compliance, and Connections
“Graph is leaving a larger and larger footprint. And that is good,” said Thomas Frisendal in Knowledge Graphs and Data Modeling. Gartner named knowledge graphs as part of an emerging trend toward digital ecosystems, showing relationships among enterprises, people, and things, and enabling seamless, dynamic connections across geographies and industries. Elisa Kendall and Deborah McGuinness, […]
Change Management Skills for Data Leaders
Change management skills have never been more crucial, given the ever-evolving business landscape. At the heart of effective leadership lies the ability to navigate through change, not only by adapting oneself but also by guiding teams and organizations toward successful transformation. The role of a leader transcends mere operational adjustments; it encompasses inspiring and motivating others […]
What Is Data Literacy and Why Does It Matter?
An international survey by technology company Accenture in 2020 found that 75% of C-suite executives believe that all or most of their employees are proficient at working with data. However, only 50% of middle managers felt the same way. And what about the employees themselves? Only 25% felt that they were fully prepared to use data effectively, […]
Navigating Data Readiness for Generative AI
Just about everyone in tech agrees that generative AI is poised to hit the business world like a tidal wave. There’s less agreement about when the transformation will occur, and how generative AI will be harnessed to boost profitability. A survey of chief data officers conducted in the second half of 2023 by Amazon Web Services (AWS) found that […]
The Role of AI in Developing Green Data Centers
In an era where sustainability is the focus, green data centers stand as pillars of strength behind the mass protest against environmental degradation. These facilities, designed for efficiency and a minimal ecological footprint, reduce energy consumption and minimize greenhouse gas emissions. By harnessing renewable energy sources, advanced cooling technologies, and optimized server utilization, green data centers […]
Fundamentals of Dimensional Data Modeling
In today’s data-driven business environment, organizations demand reliable and stable business insights to make informed decisions. To cater to this demand, over 60% of companies turn to data warehouses (DWs) to store, manage, and analyze their data efficiently. The success of these DW implementations depends on dimensional data modeling – an analytical approach that organizes and categorizes data for efficient analysis and […]
Building AI Literacy in Your Organization
AI applications are used across industry sectors – in business data analysis, healthcare, finance, and even in personalized learning experiences. However, the concept of “AI literacy” goes beyond a mere understanding of AI technologies. It’s about critical thinking and interpreting the world around us through AI technologies. It’s about understanding how AI systems work and being capable of evaluating […]
Adaptive Data Governance: What, Why, How
In DATAVERSITY’s 2023 Trends in Data Management survey, about 64% of participants stated that their companies had Data Governance (DG), the formalization and enforcement of data operations across the company, in the initial stages. Yet, 60.9% listed data silos as the greatest Data Management challenge. If DG is supposed to break down data silos for better insights while ensuring compliance […]
Understanding the Modern Data Stack
The modern data stack is a collection of tools used to collect, store, and analyze data. Understanding the components of a modern data stack is crucial in grasping how contemporary data ecosystems function. At its core, data engineering plays a pivotal role by focusing on the practical application of data collection, storage, and retrieval. This discipline ensures […]