3 Myths About Women Working in Tech, Busted

Mar 29, 2022

Women make up less than 30% of the STEM workforce. What are the myth that prevent this number to increase?

Techopedia sat down with Lucie Gattepaille, Chief Technology Officer at ALPHA10X, Krista Martin, VP of product and growth at Boardable, and Xinyi Zhang, Chief Product Officer at DecorMatters, to learn more about their careers. From our conversation, we deciphered three common myths about working in tech—and the truth behind them.

Related news

Dec 16
,
2021
AI
Cleantech
Healthcare
Investment
Life Science
Press

MGI estimates big savings from LS research practices

Nov 3
,
2021
AI
Cleantech
Healthcare
Investment
Life Science
Press

Pandemic has caused perfect storm for MedTech

Dec 20
,
2021
AI
Cleantech
Healthcare
Investment
Life Science
Press

Analysts forecast LS tech and business trend of 2022

Jun 2
,
2021
AI
Cleantech
Healthcare
Investment
Life Science
Press

The Heart of AI

Sep 13
,
2021
AI
Cleantech
Healthcare
Investment
Life Science
Press

Women less likely to win major research awards

Sep 22
,
2021
AI
Cleantech
Healthcare
Investment
Life Science
Press

Arabesque launches the world’s first AI-powered ESG portfolio manager

Sep 27
,
2021
AI
Cleantech
Healthcare
Investment
Life Science
Press

Platform that Offers AI Investment Advice MDOTM Raises €6.2 million Series B, Currently holds € 750 million AUA

Dec 30
,
2021
AI
Cleantech
Healthcare
Investment
Life Science
Press

Experts predict massive growth in health tech

Dec 1
,
2021
AI
Cleantech
Healthcare
Investment
Life Science
Press

Tech analyst reports expansion for European tech

Feb 21
,
2022
AI
Cleantech
Healthcare
Investment
Life Science
Press

Morocco’s Mohammed VI Polytechnic University and ALPHA10X Sign Research and Development Partnership Agreement

Feb 21
,
2022
AI
Cleantech
Healthcare
Investment
Life Science
Press

Innovative AI-powered Search and Discovery Platform; Interview With Robert Marcus

Mar 2
,
2022
AI
Cleantech
Healthcare
Investment
Life Science
Press

ALPHA10X : de l’IA pour réduire le risque lié à l’investissement dans les sciences de la vie