During the recent Think Digital conference by IBM, it unveiled a list of global women in AI, recognizing 35 exceptional female leaders from 12 countries who are using artificial intelligence to drive transformation, growth, and innovation across a wide variety of industries.
The leaders were chosen because together with their companies, they have demonstrated the power of AI to help improve business and work for their customers and employees. The annual recognition not only celebrates the honorees’ accomplishments but also creates a peer network for them to learn from each other and discover approaches for applying AI to solve pressing business challenges.
Research from a recent IBM Global AI Survey indicates that 34 percent of businesses surveyed across the US, Europe, and China have adopted AI. From understanding and deriving insights from tens of millions of financial documents to improving new employee onboarding experiences, to help women have a better experience buying intimate apparel, these women leaders are shaping innovative AI use cases. Their AI efforts helped to increase customer satisfaction, improvements in employee retention, faster response times, significant cost savings, and more efficient processes.
Many honorees are demonstrating how the power of Watson’s Natural Language Processing (NLP) can be used to improve efficiency in business processes and drive greater customer and employee experiences. They are leveraging AI tools to build AI and supplement the data science skills shortage. And they are proving, through a variety of AI applications, that human and machine collaboration can truly help improve how people work.
Explore the stories of how these women leaders are using AI to help transform their businesses and the lessons they’ve learned along the way at ibm.biz/womeninai.
“Artificial intelligence will be at the center of business transformation over the next decade, and for us to mitigate bias moving forward we need women and diverse teams at the forefront of AI. That’s why we are proud to share the stories of 35 remarkable women who are driving progressive use of AI using Watson,” said Michelle Peluso, IBM’s Senior Vice President for Digital Sales and Chief Marketing Officer, who also serves as the global leader for IBM’s Women’s Initiative. “Their accomplishments are an inspiration to all of us.”
To shed more light on diversity in AI, IBM recently teamed up with Morning Consult to conduct a new global study of more than 3,200 AI professionals.
Notable findings of that study reported the following:
- 85 percent of AI professionals believe the industry has become more diverse over the past few years; of those, 91 percent think that shift is having a positive impact. 74 percent of AI professionals believing diversity hasn’t improved say the industry must become more diverse to reach its potential.
- While men and women working in AI were equally likely to be interested in math and hard sciences growing up, men working in AI were more likely to be told they had a natural talent for mathematics and hard sciences than women, while women were more likely to be told they had a natural talent for the humanities, social sciences, and fine arts.
- Two in five AI professionals facing hurdles in implementing AI reported challenges in building AI tech or getting their organization to adopt AI.
- Women in AI globally were nearly five times as likely as men to say their career advancement was negatively impacted by their gender.
The 2020 IBM Women Leaders in AI, not listed herein, are honored for outstanding leadership in the AI space.
IBM created the Women Leaders in AI program in 2019 to help provide visibility to women leading in AI, encourage increased female participation in the field of AI, and provide honorees a network for shared learning.
As organizations hasten their digital transformations amid an unpredictable environment, technologies such as AI, edge, and cloud are helping companies remain resilient and position themselves for the future. Recognizing leaders at the forefront of adopting AI and learning from their experiences in building AI that’s inclusive and transparent becomes even more important during this time of rapid evolution.
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