The bi-annual Women in Technology Leadership Round Table was held at UC Berkeley in June, a few months after its organizers, Virginia Smith and Dr. Gitanjali Swamy, issued the report, Women In Tech: Addressing the Root Causes of Attrition. The report, which appeared after the Women in Technology inaugural Round Table in November, provided a […]
An Overview of University and Non-Traditional Programs in Data Science Education
In 2011, McKinsey Global Institute forecast an enormous shortage of Data Science and Analytics professionals by 2018. Academia responded by developing a host of Data Science education programs, primarily allowing graduates with mathematical and technical backgrounds to earn a master’s degree. Since the first programs started, they have now spread to dozens of universities, and […]
The Life of a Data Scientist
The worldwide demand for qualified Data Scientists continues to grow and one of the most common queries in many an industry insider’s mind is so, what is it that a Data Scientist does? When lay persons within an industry try to grasp the essence of a Data Scientist’s life, the confusion that boggles everyone is […]
Machine Learning of the Next Decade: The Promises and the Pitfalls
Machine Learning (ML) technology has gained rapid strides in the current enterprise software ecosystem, as it perfectly balances the ease of adoption, deployment, and market maturity with strong business benefits. On the flip side, Machine Learning technology also threatens some core elements of the human experience such as natural processes, human labor, or traditional workflows. […]
Predictive Analytics Route Planning Algorithm at UPS Followed a Long Path to Success
The traveling salesman problem has been known as a tough problem to solve since it was first discussed in the 19th century. Multiply it by the 55,000 routes, more than 100 stops on each, add in additional constraints like time commitments, and it goes beyond being tough to becoming seriously challenging. But, there’s a big […]
A Comprehensive Review of Skills Required for Data Scientist Jobs
The Data Scientist is the quintessential “go-between,” carrying the problems of the business folks to the IT department, and then bringing back the technological solutions to the business units. A good Data Scientist not only explores, designs, and engineers business solutions, but also determines the best technological option at hand to arrive at such solutions. […]
Top 20 Hottest Data Management Posts Year-to-Date 2016
It has become a semi-annual tradition here at DATAVERSITY® to publish our top twenty most popular data management content year-to-date. Though we monitor topic popularity daily, we like to stop every six months or so to do a deep dive into what subscribers are reading. What’s hot and trending? Our top twenty includes Data Blogs, […]
Big City, Big Data: Data Science Education at Columbia University
Columbia University’s Data Science education programs are fairly new, with the Data Science Institute founded in 2012. The program seeks to take an interdisciplinary approach, drawing on more than 200 faculty from the nine schools that make up the university. The classes were intentionally designed especially for these programs, not pulled from existing courses. Research […]
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 […]
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. […]