The latest installment in our Q&A series with women leaders in data features Rosaria Silipo, head of data science evangelism at KNIME. (Read our previous Q&A here.) Rosaria Silipo, Ph.D., has worked in data analytics and data science for the past 30-plus years. Currently the head of data science evangelism at KNIME (as well as a longtime DATAVERSITY […]
How to Build a High-Performance Analytics Team
When most people think of analytics, they tend to picture a rigidly left-brained data scientist more at home with computer programming than creativity. But analytics leader and author John K. Thompson challenges such a notion. During his keynote presentation at DATAVERSITY’s Enterprise Analytics Online event, he proposed instead that the members of an analytics team can be […]
Women in Data: Meet Data Science Leader Sarah Denman
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 more than 50 data scientists at 84.51°, a retail data science company that supports […]
The Impact of Generative AI on Data Science
As businesses adopt generative AI, a technology that creates new content and finds patterns, what will Data Science, the processes and activity geared to getting insights from big data, look like? How will this kind of analytical work change? Will there be an increased or decreased need for data scientists? How should businesses adapt their information […]
Implementing a Digital Transformation Strategy
A digital transformation strategy is a detailed roadmap for using digital processes to enhance business outcomes across different functions of an enterprise. Data and digital technologies drive this strategy. One thing to note is that the marketing function plays a critical role in shaping the broad business goals and objectives of any business. To gain […]
How to Become a Citizen Data Scientist
The job responsibilities of a citizen data scientist include dealing with new data, using automated tools to process big data, and creating additional models to gain additional insights. Their primary job is not to make predictions directly from big data, or develop prescriptive analytics, but to build models and use tools that accomplish those goals. […]
2023 DATAVERSITY Top 20
As the year draws to a close, we here at DATAVERSITY have an annual tradition of digging deep into our data and reflecting on the hits and misses. What was the most popular Data Management content on dataversity.net and our training center over the past 12 months? Which core topics did you – our data […]
Machine Learning Engineer vs. Data Scientist
After years of hype and promise, artificial intelligence (AI) has finally arrived. Organizations of all types and sizes are racing to integrate AI into their business processes to make their operations more powerful, more efficient, and more profitable. A data scientist and machine learning engineer are two of the most exciting and cutting-edge professions in technology. While both […]
Semantic Technology Trends in 2024
The trends of semantic technology for 2024 will be based on a range of technological improvements. The introduction of ChatGPT has produced a variety of primary and secondary effects on semantic technology and the industries using it. ChatGPT significantly improves AI’s use and understanding of language. Semantic technology uses “formal semantics” to provide meaning to […]
What Does a Data Scientist Do?
The multifaceted role of a data scientist goes far beyond crunching numbers and analyzing datasets. So, what does a data scientist do? In today’s data-driven world, these professionals are required to possess a diverse range of skills and knowledge to truly excel in their field. While technical expertise in statistics, programming languages, and machine learning […]