by Angela Guess Bob Hayes recently wrote in Business2Community, “Gil Press offers an excellent summary of the field of data science. According to Press, the term, data science, first appears in use in 1974. He concludes that data science is way of extracting insights from data using the powers of computer science and statistics applied […]
The Rise of the Site Reliability Engineer
by Angela Guess Donald Fischer recently wrote in TechCrunch, “Once a rarefied in-house role at a few leading Internet companies such as LinkedIn and PayPal, data science has since grown into a global phenomenon, impacting organizations of all sizes across many industries. More recently, a buzzy new job title has emerged from the same group […]
Building a Data Science Team from Scratch
by Angela Guess Ashu Dubey, co-founder of 12 Labs, recently wrote in Forbes, “There are two main approaches for how you can spice up your current projects with data science. One is to license data science technology from another company. The problem with this approach is that AI technology has not sufficiently matured to be […]
Ontology Plays a Part in United Nations Sustainable Development Goals Project
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 […]