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 […]
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 […]
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 […]
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 […]
Crowdsourcing Data Science Projects with Competitions
by Angela Guess Lisa Morgan recently wrote in Information Week, “The data science talent shortage has some companies thinking outside the box. Even if your company employs a formidable data science team, you would likely still benefit from third-party ideas or solutions. Data science competitions and other forms of crowdsourcing offer viable means of advancing […]
Data Science Extends Far Beyond Data Scientists
by Angela Guess Adrian Bridgwater recently wrote in Forbes, “Today we know that data science isn’t just for data scientists. At least that’s the trend we are seeing radiate upwards from our increasing business-centric approach to the Internet of Things, big data analytics and machine learning. The new data-aware boardroom even sees CEOs and CFOs […]
Where Data Science Meets Operations
by Angela Guess John Weathington recently wrote in TechRepublic, “When most people imagine a data science team, they envision a think tank centrally located in corporate headquarters that is assiduously working to propel the company’s next big strategy. Some even think of data scientists in more of a research and development function, doing deep data […]
Why People are Key to Data Science
by Angela Guess Ron Bodkin recently wrote in Dataconomy, “In the world of data science, great strides are being made in the area of deep learning. We’ve made so much progress that it is easy to think that instead of having to embrace data science as a discipline, we can somehow wait a little big […]
Choosing the Right Type of Data Scientist for Your Business
by Angela Guess Michael Li recently wrote in the Harvard Business Review, “If you’re looking to hire a data scientist to join your company, you’re not alone. At The Data Incubator, we work with hundreds of companies that are looking to find data scientists from our Fellowship Program. In our experience, candidates usually come from […]
Big Data Analytics: Do Machines Have Biases?
Click to learn more about Jonathan Buckley. The prevailing opinion is that machines and computers are cold and calculating, not prone to the same knee-jerk reactions and passions that humans tend to have. In other words, they’re unbiased. They take a certain amount of input and produce a desired result based on their programming. That […]