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3 Common Regression Pitfalls in Business Applications
Regression is a fantastic tool for aiding business decisions. The traditional purpose of a regression model is to find the mean value of a dependent variable given a set of independent variables. In a business, this purpose should be expanded to include the reduction of uncertainty in future events.... Read more
Can Skills Assessments Help Avoid False Negatives in Tech Recruitment?
In Part 2 of our series on skills assessments, we’re looking at the issue of false negatives in tech and data talent recruitment and what roles skills assessments play. We cover why false negatives really do matter in tech recruiting, what drives this type of hiring error and what can be... Read more
Skills Assessments – Do They Help Avoid False Positives?
A Two-Part Data Talent Hiring Problem Hiring data talent is tough.  We’re always hearing from analytics executives about the challenges they face hiring data talent.  While you could probably guess what some challenges might be (lack of unicorns and PhDs, how ‘bout those high salaries?), one hiring theme we’ve... Read more
How Not to Get Started Implementing AI
We know. Your current way of doing things is just fine. It’s making money, and all this talk about AI is hype, or so you’ve heard. You aren’t even sure what people mean when they say AI, and you don’t have time to learn what’s going on. Lots of... Read more
How to Integrate Design Thinking Into Your Business
We spend a lot of time on Open Data Science talking about the technical side of data science and business but don’t be fooled: the human element needs to be there. Companies making the best use of data science still center the human experience in their business growth and... Read more
Data Science Literacy and Open Source Education for the Enterprise
As a data scientist, one of your biggest struggles in your organization is probably communicating what you do (and what you can do) to the organization outside your data science team. If the departments around your data science team don’t understand how to frame the questions needed for the... Read more
Transitioning from Academia to Business? 3 Things to Keep in Mind
Congratulations! You’ve gotten your first job in Data Science in the business sector. Whether you’re fresh out of school or coming from a distinguished career in academia, you’re transitioning from academia to business — you feel ready to make an impact in your company.  [Related Article: 3 Unique Ways... Read more
Your Business’s Biggest Climate Change Concerns – How AI Might Help
Businesses are scrambling to deal with the effects of climate change. We’re going to have to make some serious decisions for how humanity will move forward, but our future is looking a little brighter with the addition of AI. Here are a few ways AI could help alleviate the... Read more
5 Amazing Ways Data Science Will Transform the eCommerce Business
Data science has become a go-to term for every industry, starting from eCommerce to healthcare and transportation. And each sector uses data science in eCommerce for different purposes.  For instance, Amazon, the eCommerce giant, uses data for improving eCommerce experience. Among all industries, data science has had a significant impact... Read more
AI Gold Rush: How to Build a Better AI Startup
We’re in the midst of an AI “gold rush.” It’s not just people working directly with AI, but the entire ecosystem that’s changing. Even fields affected by AI are innovating within the infrastructure, causing new use cases and new ways of thinking about AI. It’s an exciting time to... Read more