World Programming, a leading industrial analytics and data science platform provider, unveiled new features for data scientists and data science teams including those working within life sciences, pharmaceuticals, and financial services.
In this special technology white paper, From Development to Production Guide – Finding the Common Ground in 9 Steps, you’ll learn how managing a successful data science project requires time, effort, and a great deal of planning. Defining the problems to solve and planning the project’s scope is just the tip of the iceberg, as team members need to fully understand all aspects of a project in order to effectively contribute.
Here’s a useful new book for data scientists looking to approach the field from a unique perspective that doesn’t include language heavyweights like R and Python. “Julia for Data Science,” by Zacharias Voulgaris, Ph.D. from Technics Publications, allows you to master the Julia language to solve business critical data science challenges. But why look to a relatively new language when you already have other commonly-used languages at your disposal?
Bigstep, the big data cloud provider, announced the launch of Bigstep DataLab, a solution designed to enable data science and analytics at scale. Bigstep DataLab is an enterprise-ready data research service that gives domain experts, data scientists and BI specialists instant access to powerful software like Apache Spark and Jupyter for easier, more flexible and collaborative ad-hoc data exploration and research.
In this special guest feature, Michele Chambers, EVP Anaconda Business Unit & CMO, Continuum Analytics, discusses how in 2015, President Obama appointed DJ Patil as the first Chief Data Scientist and Deputy Chief Technology Officer for Data Policy to focus on using data to shape policies and practices, and how going forward it is important for all governments to understand that Data Science is crucial to all decision making.
In this contributed article, tech writer Linda Gimmeson discusses how many companies have decided to create a new executive position to handle big data duties: the Chief Data Officer (CDO). Being a new position, CDOs certainly have their work cut out for them, particularly because their duties and roles have yet to be clearly defined. Some organizations even believe they don’t need one at all. With this in mind, it’s best to examine why a Chief Data Officer is so important and what role they can play within an organization.
I recently caught up with Natalia Hernandez, Data Scientist at Foodpairing, to highlight how her company’s data scientists mine public online data, which gives general trend insights to use consumer intelligence and molecular analysis of ingredients to forecast the next big flavors in the food industry.
In this TEDxVancouver presentation, Jer Thorp’s discussion is stellar because it frames the story of how data can tell our stories. His project, openpaths.cc, tracked (willing) participants’ iPhone location data, his own included. His take on his own data’s story—matching each location with his career journey.
The “data” industry continues on its upward trajectory into 2017 and for the foreseeable future. Our friends over at Indeed (we’re the world’s largest job search engine) provides a general sense for how the market for data related jobs has shifted.
I recently caught up with Drew Conway, founder and CEO of Alluvium, to talk about the new Mesh Intelligence his new startup is creating for Industrial IoT settings.