by Angela Guess Aaron Auld recently wrote in ITProPortal, “Today data scientists can be deprived of their strengths when moving to larger datasets – datasets in the realm of ‘big data’ – because large scale tools are too inflexible to support the data science style of working. Michael Stonebreaker, winner of the Turing Award 2014. […]
A Comparative Roundup: Artificial Intelligence vs. Machine Learning vs. Deep Learning
A 1969 McKinsey article claimed that computers were so dumb that they were not capable of making any decisions. In fact they said, it was human intelligence that drives the dumb machine. Alas, this claim has become a bit of a “joke” over the years, as the modern computers are gradually replacing skilled practitioners in […]
The Case for More Domain Experts in Data Science
by Angela Guess Kalev Leetaru recently wrote in Forbes, “As I’ve come to work with an ever-widening swath of the data sciences and “big data” communities, I have been struck by how narrowly focused much of its practitioner base is on statistics and computational expertise as opposed to a solid understanding of the domain being […]
Building Data Scientists from Scratch with Tech Tank
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 […]
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 […]
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 […]