In the Data Science industry, the year 2018 will be the one to watch in US as the business community faces a severe demand-supply gap in Data Science jobs. McKinsey Global has projected fresh Data Science job openings of up to 180,000 in US alone. This forecast may very well reflect the global need for […]
nGUVU Partners with IVADO
by Angela Guess According to a new press release, “nGUVU, a leading innovator in gamification and machine learning software solutions for contact centers, has announced a collaboration with IVADO to apply the latest in academic research to their flagship solution, nGAGEMENT. ‘We are extremely pleased to be partnering with IVADO, the world’s leading data science […]
Coming to Grips with Artificial Intelligence’s Many Manifestations
Click here to learn more about author James Kobielus. Artificial intelligence (AI) is all the rage these days. However, people often overlook the fact that it’s a truly ancient vogue. I can’t think of another current high-tech mania whose hype curve got going during the days when Ike was in the White House, “I Love […]
Press Release: Agenda Announced for the 21st Annual Enterprise Data World Conference
Los Angeles, California – DATAVERSITY Education, LLC and DAMA International released the agenda for the 21st Annual Enterprise Data World Conference (EDW). The event will be held at the Omni Atlanta Hotel in Atlanta Georgia on April 2 – 7, 2017. Visit http://enterprisedataworld.com to review event details, the full agenda, speakers, and registration options. The […]
Litmus Health Launches Clinical Data Science Platform
by Angela Guess According to a recent press release, “Litmus Health, a clinical data science platform focused on health-related quality of life, today launched into public beta. The company uses data collected at the point of experience from wearables, smart devices, and home sensors to inform clinical endpoints and guide trial management. Litmus is initially […]
A Common File Format for Python Pandas and R Data Frames
Click here to learn more about author Steve Miller. I’ve been doing analysis on a Chicago Crime data set off and on the last few of months, using the now ubiquitous Jupyter Notebook to manage my work. Trouble is, I like to switch between data science language leaders R and Python, using the best of each for data munging, […]
Data Science Predictions for 2017
Data is now creating opportunities for business growth and profit like never before. In the last decade, the emergence of advanced data technologies and superior analytics tools has made it possible for business operators to reap numerous benefits from their data assets, yet for most they’ve only just scratched the surface of data’s potential. Data […]
Can Data Science and Big Data Improve Design?
Click here to learn more about author Dr. Rahul Razdan. A question for Designers and Data Scientists alike: Can members of the latter empower representatives of the former? Which is to say, can design – a discipline dependent on the artistic ability and the qualitative skills of a given person – become better and more […]
Data Modeling: Why Not 3D?
Click here to learn more about author Thomas Frisendal. Data Models are meant to communicate structure of information to recipients, who need to understand it. But who are these recipients? In fact, they are human beings. Given that, we should choose our means of communication to be the most effective that we can find. Other […]
Can IBM Watson Analytics Replace the Data Scientist?
At the core of IBM’s Watson Analytics is a powerful bull’s-eye tool; it employs a powerful user query as the basis of analysis. The Data Scientist or business user is free to play with the variables in any dataset and directly visualize how the changing user inputs impact the answers. The bull’s-eye also helps narrow […]