Technology Industry Observing Superior Gender Diversity Favoring Women

Technology Technology

The discrimination against women is not an issue only in the society, even at workplace also they go through tremendous pressure and biases professionally. Specifically in technical fields women are believed to have less tech-aptitude than their male counterparts. Be it pay-scale, promotion or equal opportunity. In a report by McKinsey Global Institute, it was found that around 38 percent of women in the technology field feel that gender discrimination staggers growth. Also, the report revealed that 60 percent of these women do not want to be a top executive to excessive stress and pressure.

However, recently, quick growth in enrollment of women coders for the fifth version of Tech-Gig’s Geek Goddess noticeably shows that the technology industry is observing superior gender diversity, said Ram Awasthi, Vice President, Technology, Times Internet.

The fifth version of the coding challenge for women observed 73,000 registrations from almost 39,000 in the first version. “Biggest change is that we started from 39,000 registrations in the first edition and this year – in the fifth edition – we have crossed 73,000. This number is quite encouraging and shows the interest women (are) taking in coding,” said Awasthi, adding that this indeed shows development in gender diversity in the technology industry.

While the coding challenge for women observed above 60,000 enrollments last year, it has increased to 73,000 this year, of which, 375 members made it to the finals, which occurred recently.

After the final round, 13 participants from various themes and a standard coding group will be chosen as winners.

As per Awasthi, Tech-Gig memebers have been compensated with pay hikes and some have landed jobs for roles in multinational technology companies. He told TechGig mainly centres on assessing and linking the right talent with the right employers or platforms.

The fifth version of the Geek Goddess found six themes, based on rising technologies for example artificial intelligence, machine learning, Cloud, robotic process automation and others.