How do you define “basic services”? What’s the difference between them and “essential services”? What is meant by terms like “natural capital”, “raw material” or “essential medicines”? How do these all fit into an ontology? The truth is that there often aren’t universally accepted or precise definitions for terms like these – or even more […]
A Deep Look at the Role of Data Scientists
by Angela Guess Suzanne Rose recently wrote in DZone, “The distinction between statisticians and data scientists is that statisticians are given data and run regressions, while data scientists find the data, organize and analyze it, and then communicate the relevance in an understandable, actionable way to their organization. In order to have actionable data, data […]
Building a Data Science Team from Within Your Organization
by Angela Guess Martin Hooper recently wrote in Enterprise Innovation, “As companies push to find the limit of innovation and move to set themselves apart from the crowd, more and more are also recognizing the importance of building a robust data analytics team to support their initiatives. Business leaders are aware that missing digital skills […]
IBM Expands Data Science Education around the World
by Angela Guess According to a recent article out of the company, “IBM is expanding its academic initiative with a new program that infuses its natural-language-based Watson Analytics technology into the classroom to help professors teach students how to turn data into insights without needing in-depth knowledge of data science. IBM is also introducing a […]
Where Data Scientists and Storage Infrastructures Meet
by Angela Guess David Adamson recently wrote in Datanami, “Today’s IT teams have enough on their hands managing data-storage infrastructures, without having to worry about issues with an array or latency problems that no one seems to be able to understand or solve. But what if the customer support around these issues could be managed […]
Data Scientist: Best Job in America?
by Angela Guess Bernard Marr recently wrote in Forbes, “It’s official – data scientist is the best job in America, according to users of online employment analysts Glassdoor. Glassdoor’s service allows employees to anonymously rate their jobs and their employers, awarding scores for how well they are paid, treated, and helped to advance in their […]
The Evolution of Python for Data Science
Click here to learn more about author Steve Miller. I’ve been programming in Python for almost 15 years. When I started around 2001, I was doing most of my non-statistical work in C and Perl, the early days of Fortran, PL/I, and Pascal thankfully by then long gone. Just as with R for statistical computing, I […]
Data Science vs. Domain Expertise: Who Can Best Deliver Solutions?
The passionate debate nowadays is not whether data scientists can deliver business solutions, but rather whether domain experts play a major role in the delivery of such solutions. On one end of the spectrum, thought leaders seem to feel that domain experts must be involved at every stage of the design, development, and implementation of […]
Most In-Demand Data Science Skills of 2016
by Angela Guess Seamus Breslin recently wrote in InsideBigData, “Big data has been the watchword for a while in IT, so it’s no surprise that data science skills are in hot demand and the job has perhaps mischievously been labelled as the ‘sexiest job in the 21st century’ by the Harvard Business Review. It’s a […]
The Ups and Downs of Outsourcing Data Science
by Angela Guess Lisa Morgan recently wrote in Information Week, “A great number of companies are investing in data science, but the results they’re getting are mixed. Building internal capabilities can be time-consuming and expensive, especially since the limited pool of data scientists is in high demand. Outsourcing can speed an organization’s path to developing […]