IDG (International Data Group) predicts the use of unstructured Big Data will steadily grow at a rate of 62 percent annually. They also predict by the year 2022, 93 percent of all data being processed will be unstructured. The issue of processing unstructured Big Data is currently one of the most challenging problems facing Data […]
The Future of Analytics: Collaboration, Deep Learning, and Telling the Story
Dr. Athanasios (Thanos) Gentimis, Assistant Professor of Math and Analytics at Florida Polytechnic University sees the future of analytics as a team effort, where subject matter experts (SMEs) collaborate in teams with Data Scientists and each team member plays to his or her strengths. He also sees a reliance on Deep Learning for creation of […]
Data Science Education at NCSU: Education with a Mission
The Master of Science in Analytics (MSA) at North Carolina State University (NCSU) is one of the oldest Data Science degrees in the country. The program began in 2007, with the school’s Institute for Advanced Analytics focused on supporting the success of its students. A presentation about the program at the school sets its ambitions […]
Natural Language Generation: A Revolution in Business Insight
“Think about just how interconnected the world is now,” said Matt Gould, the co-founder of Arria NLG, a prominent enterprise in the development and deployment of Natural Language Generation (NLG) technologies worldwide. “Think about it from just a personal context. How much data are you generating personally every day?” Modern, connected humans interact constantly online […]
The Business Benefits of Deep Learning
Over the past several years, the global Data Science community has watched the rise and steady penetration of such concepts as neural networks, Deep Learning, and back propagation. As research in Artificial Intelligence continues to evolve, an increasing interest in Neural Networks and Deep Learning has caught the fancy of worldwide business owners and operators. […]
How to Be a Data Scientist: Data Science Skill Development
To the wide business community, a Data Scientist is one of those “data magicians,” who can acquire disparate data masses from diverse business functions; clean, massage, organize, and prepare the data; and, then exploit their inherent skills in mathematics, statistics, and Machine Learning to uncover hidden business insights and intelligence. The data used by a […]
Data Science Education at Rutgers: A Business-Oriented Approach
Most students who study Data Science probably don’t want to become academics. They want to become working professionals who apply their analytical skills to solving real business problems. The professional master’s degree offered at Rutgers University, a Master of Business and Science in Analytics and Data Science, emphasizes both business studies and Data Science education […]
Techniques and Algorithms in Data Science for Big Data
In simple terms, Big Data – when combined with Data Science – allow managers to measure and assess significantly more information about the subtleties of their businesses, and to use the information in making more intelligent decisions. In 2011, during the period when the growth of Big Data was really gaining significant notice throughout the […]
Running Successful Data Science Projects
Companies pour a lot of effort into the Business Intelligence and Analytics (BI/A). In late 2013, Gartner predicted that the importance of BI/A projects for CIOs will continue to grow well into 2017 and beyond. Despite all the effort and attention on analytics though, companies are still struggling to succeed with Big Data. In a […]
Ontology Plays a Part in United Nations Sustainable Development Goals Project
How do you define “basic services”? What’s the difference between them and “essential services”? What is meant by terms like “natural capital”, “raw material” or “essential medicines”? How do these all fit into an ontology? The truth is that there often aren’t universally accepted or precise definitions for terms like these – or even more […]