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 […]
Bimodal IT and Its Effect on Data Governance
by Angela Guess Jeff Alexander recently wrote in Information Management, “There is a lot of talk these days from major IT research firms about how today’s enterprise CIOs need to embrace bimodal IT. One of the key ideas behind this bimodal IT concept is that CIOs need to build and support two different sets of […]
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 […]
The Year of the Citizen Data Scientist
by Angela Guess Mary Shacklett recently wrote in TechRepublic, “I recently visited with Shawn Rogers, Chief Research Officer at Dell Statistica, a business unit within Dell’s software group. Rogers predicted a growth in Internet of Things (IoT) big data initiatives in 2016, in addition to an enterprise push for more real-time IoT applications. He said […]
Building Cohesive, Productive Data Science Teams
by Angela Guess Miles Johnson and Sam Hochgraf of IBB Consulting Group recently wrote in InsideBigData, “Look no further than the sports world for proof that just having all-star talent doesn’t always guarantee success. They must work together cohesively, have a solid strategy and be organized in a way that plays to each member’s strengths. […]
Pros and Cons: Warehouse vs. Data Lakes
Learn more about Thomas Hazel. This column will not be the proverbial “Pros and Cons” article, weighing the good with the bad. One can find such content habitually year after year and month after month, all of which will outline the obvious advantages and disadvantage between any two things. This is particularly prevalent in the […]
Infographic: Modern Data Science for All
by Angela Guess Information Management recently wrote, “The data scientist role has been called the ‘hot job of the decade’ – Harvard Business Review has even dubbed it ‘the sexiest job of the 21st century.’ Regardless of what you call it, one thing is clear: the field of data science is exploding. At the center […]
50 Years of Data Science: What It Is and What It Can Be
by Angela Guess Steve Miller writes in Information Management, “I recently came across an outstanding article on data science, thanks to the always-informative R-bloggers website. Written by Stanford professor David Donoho, ‘50 years of Data Science’ views DS through an historical lens and as well provides a conceptual framework for the evolving discipline. The point […]
Data Science Trends to Look for in 2016
by Angela Guess Mike Weston recently wrote in Dataconomy, “Many people still don’t realise how much data science touches their everyday lives, from Amazon recommendations to the algorithms powering their Uber app. With adoption of data science up across most business verticals, it’s natural to wonder how the sector will develop in 2016. My gut […]
Shifting Your Focus from Big Data Infrastructure to Data Science Skills
by Angela Guess Dr. David Johnston, Lead Data Scientist at ThoughtWorks recently wrote in Data-Informed, “A recent white paper and survey from IDG Research and Kapow Software states: ‘Big data projects are taking far too long, costing too much, and not delivering on anticipated ROI because it’s really difficult to pinpoint and surgically extract critical […]