The shattering of existing boundaries in technology and data-related fields has evolved beyond cutting-edge concepts. Inclusivity and diversity now sit at the top of the priorities list for many companies, and the industry at large.These efforts have resulted in women in STEM enjoying more seats at the most important tables, a positive shift from just a few years ago. But as these milestones are celebrated, the industry still faces areas that need significant improvement.“One of the nice things I saw from the AnitaB

With data becoming the lifeblood of enterprises, fundamental roles like data science have sprung up to get the best out data. But the gender gap in data science is still a problem, even in 2023.R-Ladies was formed in 2016 to motivate more women to join the data science space and promote gender diversity in the R statistical programming language, according to Gabriela de Queiroz (pictured), principal cloud advocate at Microsoft and R-Ladies founder.“I was using R back then and I’m like, ‘How about I do something with R; I love R, I’m so passionate about R What about if I create a community around R but not a regular community?’” De Queiroz said