Although digitalization resulted in generating more data than our previous generations, Covid has highlighted the need to understand data at a rapid pace. Whether it is hospitals trying to staff based on local virus outbreak or companies trying to sustain business due...
Machine Learning (ML) is being applied successfully across many industries and by all kinds of organizations, from start-ups to large corporations. However, many encounter unexpected problems when trying to apply ML to their use case. In this post, we are going to see...
Data science is one of the hottest areas of growth within companies of all industries. Companies all over the world are scrambling for data science talent and the number of educational programs related to data science inside and outside universities continues to grow...
What started off as a small local data science pop-up five years ago turned into one of the largest and most diverse data science communities around the globe. No one would have ever thought back then that the idea of bringing the data science community together could...
The field of data science is accelerating at an unparalleled pace over a wide variety of problem domains. Whether you’re new to the field, transitioning to the field from another discipline, or a tried-and-proven data scientist with years of experience, one common...
Industries and organizations today are extremely reliant on data and analytics. A report from InsideBigData.com notes that higher efficiency rates, more profound operational insights, and revenue increases are some of the benefits that come with leveraging data and...
Most research around the state of the AI industry talks about how the majority of initiatives are still immature and models rarely make it to production. To discover whether these pervasive ideas are still gospel in 2021, Run:AI commissioned a survey of more than 200...
The gender gap in technology is not a recent phenomenon; it has been a significant and consistent challenge for companies in the industry. While the number of technical and data-related roles has increased in recent decades, the gender gap is still remaining constant....
A BIG thank you to Amarita Natt, Sr. Economist at Econ One Research for writing this post and being part of DSSe, an initiative focused on elevating women in Data. Everyone in Data Science has encountered job listings that ask for the unicorn: someone who is an...
Guest post by Mısra Turp, Business Owner at So you want to be a data scientist. Changing jobs is stressful. But it doesn’t have to be. By following some simple tips, you can make sure you are on the right track and will be happy in your new position. In this article,...