“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 […]
3 Ways to Avoid Disappointment with Data Science Projects
by Angela Guess Sergo Grigalashvili recently wrote in The Enterprisers Project, “You know the old saying: ‘lies, damned lies, and statistics.’ The same can be said about data science broadly. We can easily, by mistake or not, say or imply something using numbers that are not there in reality; predictive models can be good on […]
How Cognitive Data Science Can Cure the Talent Shortage
Click here to learn more about author Sundeep Sanghavi. The Internet of Things and its interconnected approach has led to an overwhelming explosion of big data. About 6.4 billion connected devices are already in use today, and Gartner expects that number to reach 20.8 billion by 2020. This growth is big business; it’s estimated that […]
3 Strategies for a Data Science Breakthrough
by Angela Guess John Weathington recently wrote in TechRepublic, “There’s no reason for a data scientist to don a white coat or play with beakers. In practice they should be an integral part of your corporate strategy, driving forward the development of your next innovation. The idea of stashing data scientists away in a data […]
Vetting the Actual Science Behind Data Science
Click here to learn more about author James Kobielus. Everybody wants to rule the world–or, at the very least, discover the fundamental rules that rule the world. That’s why we have scientists. Statistical models are the heart of most scientific inquiry. In business applications, for example, data scientists often work with behavioral data that is […]
Data Science, Witchcraft, and Cookbooks
by Angela Guess Yasmeen Ahmad of Teradata recently wrote in Forbes, “Trying to explain what I do to friends and family can be difficult. They’re intrigued by the title. Data Scientist. But ‘what does it mean, exactly?’ Invariably, the mystery deepens as puzzlers wrestle with the idea of a data and science mash-up. And as […]
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. […]
No Relief with Hadoop – Managing The Big Data Reality Gap
Click here to learn more about author Jon Bock. There has been much anticipation that businesses would find relief for their analytics headaches in Hadoop, the open source software for distributed processing and distributed storage of large data sets across clusters of commodity or cloud hardware. There is no doubt Hadoop systems can handle large […]
The Vocabulary of Data Science: A Guide
by Angela Guess David Kil and Mark Killiron recently broke down the vocabulary of data science on EdSurge.com for students, non-data professionals, and anyone interested in learning more about this burgeoning field. Their list of terms includes, “DESCRIPTIVE ANALYTICS: Examines historical data and identifies trends or patterns over time from known facts to inform future […]
Putting Notebooks to Work in Data Science
by Angela Guess Dan Osipov recently wrote in Datanami, “Interactive notebooks are experiencing a rise in popularity. How do we know? They’re replacing PowerPoint in presentations, shared around organizations, and they’re even taking workload away from BI suites (more on that later). Even though they’ve become prominent in the past few years, they have a […]