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,...
It’s no news that the tech industry is far from being gender-balanced. According to research from recruiting firm Burtch Works, not even 1 out of 5 data professionals are women. What is even more worrying is that the industry is still predominantly represented by...
Female-focused communities are a great place for women working in AI to meet, inspire, learn from each other and eventually work towards a more diverse tech industry. Here we present you a list of some of our favorite data science communities for women working in AI,...
With the recent advancements in machine learning (ML), organizations can use algorithms to positively influence every stage of the business growth cycle - from customer acquisition, to activation, retention and referral. However, an ML system applied in one...
MLOps—short for “machine learning operations”—has become a buzzword in recent years, and for good reason. Algorithmia’s 2021 enterprise trends in machine learning report found that while organizations have dramatically increased their investments in machine...