The world of artificial intelligence and data science is often considered a male-dominated field traditionally. But the scenario has been changing rapidly over the past few years. Now, women are leading this transformation showing their immense prowess as a technological leader and making significant strides in this highly dynamic field.
In this article, we honor such women who have been highly inspirational and are shaping the future of artificial intelligence and data science who offer valuable insights as well as encourage others to join the revolution. So, if you are looking to make a career in data science, these are the influencers to watch out for.
Fei-Fei Li
Sequoia Professor of Computer Science at Stanford University
Fei-Fei Li is one of the most popular AI leaders in the world who has over 180+ published research papers in her credit. She has received several awards one of which is as Technical Leadership Abie Awards honored by AnitaB.org. Her notable works include research in computer vision, cognitive neuroscience, healthcare, and AI. She is best known for her work on the ImageNet project which aimed for large-scale visual recognition. This project turned out to be a game-changer in the field of deep learning. She preaches a healthy relationship between humans and AI where both benefit and wishes the use of technology is used for the betterment of human society.
Cassie Kozyrkov
Chief Decision Scientist, Google Cloud
She is a true powerhouse, a renowned data professional and wishes to democratize Decision Intelligence like many others. She is a renowned author and speaker on many complex topics including machine learning, and artificial intelligence. She represents her mind with a clear and engaging voice. Cassie is among the top LinkedIn voices who has personally trained over 20,000 Googlers in Statistics, decision-making, machine learning, and other important AI concepts.
Dr. Anima Anandkumar
Director of Machine Learning Research, NVIDIA
Anima is also a Bren Professor at Caltech. Her research includes various aspects of AI such as supervised learning, deep learning, optimization, tensor methods, and more. Previously she was working as a principal scientist at Amazon Web Services (AWS) where she was responsible for and noted for enabling machine learning on cloud infrastructure. Her work bridges the gap between cutting-edge research and real world applications so that AI can be made more accessible and impactful.
Kate Crawford
Researcher, Microsoft
She is a Principal Researcher at Microsoft and has also founded the Fairness, Accountability, Transparency, and Ethics (FATE) group in the company. She is also a research professor at New York University and visiting professor at MIT. Kate is mostly known for her research work on the social impacts of machine learning, and AI. This data science professional has also published several articles in most popular platforms including The Wall Street Journal, and Harper’s Magazine. Kate is one of the prominent advisors among policymakers in the White House, United Nations, as well as the City of New York.
Cathy O’Neil
Data Scientist, Palantir
She is another prominent woman data scientist best known for authoring the bestselling book “Weapons of Math Destruction”. Her work sheds light on the potential dangers of algorithms, particularly in areas like credit scoring and criminal justice. She has founded the non-profit organization ODIN (Observatory on Data Inequality) to promote responsible AI development along with data literacy.
Caitlin Smallwood
Vice President Data and Insights, Netflix
Caitlin is responsible for transforming various data science projects at Netflix which is the world’s most popular OTT platform with more than 50 million subscribers. She joined the company in 2010 and since then has worked and led several projects in areas like AI-enabled analytics, and recommendation engines.
Joy Buolamwini
Founder, Algorithmic Justice League
Joy isn’t just a researcher at MIT media lab but also a pioneer in identifying bias in AI. Her works are covered in over 40 countries that exposed racial and gender discrimination in facial recognition technology that is used by some of the large corporations, and ultimately sparked a movement for fair usage of AI. Then, she founded Algorithmic Justice League to promote ethical and inclusive AI development.
Why these women matter?
These are the influencers inspiring next generation. These exceptional women are not just technical leaders but role models for many who take inspiration from their success stories and are encouraged to pursue careers in AI and Data Science. Though the number of women in AI roles and leadership is growing, they are still behind men. So, their inspiring stories is a great way to minimize the gender gap and create more diverse and inclusive environment in the world of technology.
Conclusion
If you are looking to make a career in data science then these are some of the women professionals to get inspired from. They have been leading many artificial intelligence and Data Science projects that have proven to be transformative in this world. With their inspiring roles, they can motivate young women to realize their potential and take the chance in the world of AI and data science. It is the first step that matters, so take put a strong step now.
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