by Angela Guess Sarah Fister Gale recently wrote in Chief Learning Officer, “Booz Allen Hamilton Inc. prides itself on being able to bring cutting edge technology and talent to its clients… The volume and complexity of data management and data science expertise required on client projects often exceeds the skills available in the company’s ranks. […]
Data in the Cloud: How Organizations Are Shedding Their Fear in the Name of Agility and Speed
Click here to learn more about author Ravi Shankar. Data is the new currency in this digital economy. Companies generate data during the normal course of their operations, analyze that data to gain intelligence about their business, and use that insight to tweak their operations to improve results; call it the data cycle. To protect such […]
IBM Announces Universal Data Science Platform
by Angela Guess Greg Satell reports in Forbes, “A data scientist, it’s been said, is a statistician who works in Silicon Valley, which is another way of saying that the term has attained true buzzword status. The potential to be unlocked is undeniable, but so far, there has been no shortage of disappointment and frustration… […]
Education and Training in Data Science with University and Industry Partnerships
Modern enterprises have an immense responsibility to harness ever-evolving data technologies to get maximum business benefits. However, with new technological capabilities promising more value-added outcomes, global organizations face a challenge to recruit the most qualified Data Scientists and Data Analysts who can do justice to such promising technologies as Big Data, Hadoop or Predictive Analytics. […]
7 of the 21 Most Valuable Career Skills Directly Relate to Data Management
by Angela Guess Cybele Weisser recently wrote in MSN.com, “In this complex, fast-changing job market, just putting in the hours and being good at what you do may not be enough. You need an edge. And the surest one these days is to possess the skills that are most in demand in your field, that […]
Women in Data Science: Then and Now
by Angela Guess Brittany Pugh of Elder Research recently wrote in Predictive Analytics World, “The field of Data Science is booming, yet comparatively few women are entering it. Why? What are the obstacles and opportunities facing them if they do? The path to change is challenging, but as a woman who has happily worked in […]
Technical Collaboration Expanding Anaconda Ecosystem
by Angela Guess According to a recent article out of the company, “Continuum Analytics, the creator and driving force behind Anaconda, the leading open data science platform powered by Python, welcomes Intel into the Anaconda ecosystem. Intel has adopted the Anaconda packaging and distribution and is working with Continuum to provide interoperability. By offering Anaconda […]
Intelligent Crowdsourcing: A Big Data Solution
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 […]
Don’t Fence Me In: Tensions on the Data Science Frontier
Click here to learn more about author James Kobielus. Data scientists can be a stubborn, proud, and independent lot. In their hearts, they’re new-age prospects whose primary occupation is to uncover hidden veins of insight buried deep in data. Self-starting genius is a great thing, but it’s not what pays the bills. In the new […]
A Beginner’s Guide to Business Data Terminology
by Angela Guess Hannah Augur recently put together a guide in Dataconomy of some of the most basic business data terminology for non-tech execs and others new to the wide world of data. Her guide begins with “Algorithms: Mathematical formulas or statistical processes used to analyze data. These are used in software to process and […]