Dr. Cindi Thompson considers Data Scientists to be raccoons: “Raccoons are both smart and dangerous, and that’s kind of the way we think about Data Scientists.” Speaking at the DATAVERSITY® Enterprise Analytics Online 2017 Conference, in her presentation titled “How to Get the Most Value from Data Science Teams” Thompson said, “Raccoons have that desire […]
The Future Impact of Data Science on Business Analytics
The field of Data Science is in a transitional mode in terms of how the latest data technologies are being used to solve business problems for a strategic advantage. In the near future, Data Scientists will conduct their business very differently. As Big Data, algorithm economics, IoT, and Cloud continue to become mainstream across global […]
Data Science Collaboration: How to Centralize Data Science to Power Organizations
Domino Data Lab provides a Data Science platform that empowers organizations to drive their business through the use of predictive models. The platform accelerates breakthrough research and increases collaboration and productivity of data scientists. The company was founded in 2013 and is based in San Francisco. Organizations can use Domino Data Lab on-premises or in […]
2017 DATAVERSITY Top 20
The Top 20 Posts of the year are here! As one year comes to an end and another about to begin, it’s a tradition here at DATAVERSITY to take a moment to pause and review the content published over the year by our writers and by the Industry Experts who contribute their thoughts and experiences. […]
Data Science Trends in 2018
The Data Science Trends for 2018 are largely a continuation of some of the biggest trends of 2017 including Big Data, Artificial Intelligence (AI), Machine Learning (ML), along with some newer technologies like Blockchain, Edge Computing, Serverless Computing, Digital Twins, and others that employ various practices and techniques within the Data Science industry. The Dataconomy […]
Overview of the Newest Trends in Data Science Education: Academic and Work-Based Programs
In spite of significant efforts to train more Data Scientists, a shortage continues to exist. There is simply more demand than available applicants for this new career field. Data Science education is a growing field requiring both training and hands-on experience. Some have gained an understanding of Data Science through non-academic experience, while others have […]
The University of Virginia’s Data Science Education and Data Science Institute
The University of Virginia was founded in 1819 by Thomas Jefferson, and is now offering a Master of Science degree in Data Science (MSDS), and a new “dual degree” with a Master in Business Administration and a Master of Science in Data Science (MBA/MSDS). Their goal is to prepare the leaders of tomorrow in using […]
2017 DATAVERSITY Mid-Year Top 20
Twice a year we look at the top content over the last year to do a deeper dive into what people are reading. Over the years, we have seen a definite shift in interest. Five years ago, Big Data had hit mainstream media and people were doing searches to educate themselves on NoSQL (Not only […]
Challenges in Data Science: How to Better Organize Enterprise Components
How do Data Scientists fit into an organization? How is the role of a Data Scientist different from the role of a Data Engineer? How should the Data Science team be organized to create the most value for the business? Those are questions companies are struggling with as they begin to incorporate Big Data, Analytics, […]
2016 DATAVERSITY Top 20
It’s that time of year again to announce the Top 20 publications by DATAVERSITY in 2016. We are excited to wrap up another great year of education. We published over 100 articles, over 150 blogs, 89 webinars, two online conferences, and five face-to-face conferences. We also launched our new DATAVERSITY Training Center this year where […]