by Angela Guess According to a new press release, “More than 40 percent of data science tasks will be automated by 2020, resulting in increased productivity and broader usage of data and analytics by citizen data scientists, according to Gartner, Inc. Gartner defines a citizen data scientist as a person who creates or generates models […]
Six Reasons Data Analytics Will Make a Splash in 2017
Click here to learn more about author Jon Pilkington. Looking back over the past year, it is clear that self-service solutions have become widely adopted by organizations across industries, as users want to access and analyze information immediately without having to wait for IT to run a report or provide a database. This trend will continue […]
Cray Works With Industry Leaders to Reach New Milestone for Deep Learning at Scale
by Angela Guess A new press release out of Cray reports, “At the 2016 Neural Information Processing Systems (NIPS) Conference in Barcelona, Spain, global supercomputer leader Cray Inc. today announced the results of a deep learning collaboration between Cray, Microsoft, and the Swiss National Supercomputing Centre (CSCS) that expands the horizons of running deep learning […]
How can Experienced Programmers be Trained to Become Data Scientists?
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 […]
Designing Effective Interviews for Spotting a Real Data Scientist
The Data Scientist has been called the sexiest job of the 21st Century and thus has started attracting many young, ambitious contenders for this high-paying and “glamorous” post. However, there is a growing concern among employers and business leaders that candidates are getting enticed by just the “title” without building the proper mindset and skills […]
Moving Forward with Big Data: Investments, Challenges, and Predictions
People are using computers, smart phones, and laptops with increasing regularity. As a result, businesses are collecting and storing huge amounts of data, or Big Data. Acquiring insights from all this information is a challenge, but is also key to achieving a competitive advantage. Analytics solutions that find unstructured and structured data can help tremendously […]
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. […]
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 […]
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 […]