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  /  Project   /  Blog: These Women Entrepreneurs Mastered AI to innovate Women Targeted Solutions

Blog: These Women Entrepreneurs Mastered AI to innovate Women Targeted Solutions


These Women Entrepreneurs Mastered AI to Innovate Women Targeted Solutions

Women Entrepreneurs in AI addressing Women

AI is one of the most emerging technologies in the industry. Though its applications span across diverse domains, it is a highly male-dominant field. According to a recent EY study, the representation of women in the AI industry is 22% across the globe.

Due to the ‘pinkification’ of girls at an early age, science and math related degrees are not given enough importance. This makes it difficult for women to foray in Tech later, as they may sometimes feel outnumbered by their male counterparts. The ratio of women in STEM education is only 35%, globally. Also, an overwhelming majority of algorithms and codes in AI are written by men. Because of the huge male dominance in the field, the technology is at risk of continued gender biases and power imbalances.

With such an exponential impact of AI, diverse perspectives are essential to creating incredible breakthroughs. A research group at NYU, AI Now released a study about the field’s diversity crisis which talks about how the lack of diversity among the people who create artificial intelligence and in the data they use to train it has created huge shortcomings in the technology. It’s important that AI solutions should be created by as diverse a group as, the one that will benefit from it.

Despite the imbalances, numerous women are standing out and breaking the historic trend. In this post, I have listed three female entrepreneurs and role-models leveraging AI and using their innovative and diverse perspectives to serve their fellow Women — one of the most emerging markets.

Yulia Raquel, Co-Founder, COUTURME:

Yuliya Raquel, CEO at COUTURME

Raquel is transforming the women fashion industry from mass-production to a sustainable on-demand model, using automation technology, 3D, AI, machine learning, and XR. Prior to COUTURME, Raquel co-founded Tailornova and BootstrapFashion, a family of fashion design automation tech, generating $43 million in overall sales. This breathtaking fashion designer has been in the fashion industry for 20 years, with Oscar-winning celebrities such as Gabourey Sidibe as her clients. That is when Yulia Raquel realized that the fashion industry is due for some major tech disruption.

Raquel continues, “75 million Americans don’t fit in the mass-produced standard sizes, uncovering enormous opportunities. 80 million American women attend as many as 2 events per year, spending $200 on each, leading to a $32 billion market.

After an initial consultation, COUTURME’s Tailornova software generates custom designs, based on individual preferences. Once the customer finalize on the design, they produce and ship it within 30 days. COUTURME is able to produce thousands of custom garments, very quickly.

COUTURME recently raised seed funding, worth $150K and is growing at a rate of 50% per week.

Besides COUTURME, Raquel’s designs and technology have been featured in numerous publications and fashion magazines such as SF Chronicle, Glamour, InStyle, Lucky, Marie Clair, Oprah Magazine, People Style Watch among many others.

Laura Gomez, Founder, Atipica

Laura Gomez, CEO at Atipica

Gomez is rethinking the inclusivity in the hiring process. This spectacular young woman has been working in tech since she was 17, with past employers such as YouTube, HP, and Twitter. During her internship with HP, Gomez hated to be in a workplace, where no one looked like her. Determined not to be a victim of a homogeneous, non-inclusive industry, she decided to continue working in tech “whether the industry embraced her or not.”

Besides being a member at Code.org’s Diversity Council and Anita Borg Institute for Women and Technology, Laura Gomez founded her latest venture, Atipica — A platform helping tech companies find and hire diverse candidates.

Having worked closely with HR, Gomez always wanted to come up with an inclusive way to understand diversity at the top of the funnel. It’s not rocket science, says Gomez, “Diverse teams simply perform better. Especially in HR tech.” She believes that the classic bro culture in tech is disadvantageous to certain groups, such as women.

Gomez explains, “When Amazon fed their AI ten years worth of majority-male candidates, the AI learned to rank women lower.

Atipica is an inclusive AI platform for the talent life cycle. It helps organizations build a modern and inclusive workforce, with its patented AI technology. Companies can use this technology to visualize predicted skillsets and gender of the applicant pool. By monitoring an organization’s progress towards Diversity and Inclusion goals, Atipica offers a holistic solution. This AI-powered platform also allows companies to reconnect with candidates from underrepresented backgrounds.

With Atipica, Gomez wants to use AI to coach people rather than replacing their skillset. Customers of Atipica include Netflix, Eventbrite, Coinbase and numerous other companies. The startup has raised a total of $2M in funding over 2 seed rounds, so far.

In addition to Atipica, Gomez serves as a founding member and advisor for Project Include — a community for building meaningful, enduring diversity and inclusion into tech companies.

Ming Zhao, Co-Founder, Proven Skincare

Ming Zhao, CEO at Proven Skincare

Ming Zhao aims to redesign the skin care experience by combining AI, big data, and academic research to deliver personalized skin care products, customized for each customer. This hard-working young lady had been working sixteen hours a day as an investment banker. Zhao says, “Not only was I losing my soul, but I was also losing my youth.” In spite of a long search for products to restore her youthful appearance, she did not have any luck. Eventually, A personalized treatment from a skin guru worked for her, costing her fortunes.

Zhao met her co-founder Amy Yuan through her husband and immediately realized that they both had a common goal to improve people’s lives using technology. Since they both personally suffered from skin conditions, they were delighted with the idea of improving the beauty and skincare space. Later on, they expanded into using AI for addressing all the skin conditions in one place.

Zhao and Yuan have built machine learning and artificial intelligence algorithms on top of all the data analysis to understand the correlations and interconnections between people’s skin and the ingredients that work for each person. After intense research and learning, Zhao and Yuan founded Proven, the world’s most well-researched and personalized Skin Care System.

The average person spends 45 minutes to 1.5 hours researching products before they buy any beauty products and even after they buy based on the research that they’re able to do, 55% of people are still unsatisfied post-purchase. And that’s because of the proliferation of information that’s out there. No single person is capable of reading the amount of information there is in order to make a sound decision. Which is why we’ve built the largest database of beauty”, explains Zhao.

After a 3 minute in-depth assessment to identify the roots of customer’s skin concerns, Proven discovers and matches the unique ingredients that they need — eliminating trial and error. Proven is powered by its own scientific database, Skin Genome Project, (Winner of MIT’s 2018 Artificial Intelligence Award — including 20,238 ingredients, 4,000 peer-reviewed scientific articles, 8 million reviews and more than a 100,000 beauty products that have been talked about). The company provides custom made skin care to the customers for 60 days, for free shipping.

As the customers take the assessment, use the products and share their experience back with the database, the accuracy is bound to improve.

Since 2018, Proven Skincare has secured 4 solid seed rounds from top investors like Y Combinator. With companies like Proven, The skincare industry is projected to exceed $131 billion next year.

Source: Artificial Intelligence on Medium

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