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     "text": "1. Ujjyaini Mitra.
2. Lakshya Sivaramakrishnan.
3. Fei-Fei Li.
4. Tyler Wood.
5. Katie King.
6. Caitlin Smallwood.
7. Priyanka Roy.
8. Nadia Vincent.
9. Daniela Rus.
10. Aleksandra Przegalinska.
11. Allie Miller.
12. Tulsee Doshi.
13. Rana el Kaliouby.
14. Joanna Bryson.
15. Joy Buolamwini.
16. Nazarene Ebrahim.
17. Dorothea Baur.
18. Daphne Koller.
19. Romina Sharifpour.
20. Dr. Anastassia Lauterbach.
21. Cassie Kozyrkov.
22. Maria Luciana Axente.
23. Maaike Groenewege.
24. Kate Crawford.
25. Karla Taboada.
26. Mounia Lalmas.
27. Bindu Narayan.
28. Dr. Renata Afi Rawlings-Goss.
29. Jane Frankland.
30. Nikita Johnson."
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Tech Corner

30 Most Inspiring Women in AI

Engati Team
.
Aug 10
.
5-7mins

Table of contents

Key takeawaysCollaboration platforms are essential to the new way of workingEmployees prefer engati over emailEmployees play a growing part in software purchasing decisionsThe future of work is collaborativeMethodology


There is a BIG BIG BIIIIIIIIIIG gender gap in the field of technology

According to the World Economic Forum, women account for only 22% of AI experts worldwide.

In Science, Technology, Engineering, and other fields, it is critical to address the gender diversity issue.

The only way to close the gender gap in AI and eliminate bias is to encourage more women to pursue technical fields.

Women role models are critical in breaking down gender stereotypes and encouraging young girls to pursue STEM careers. 

We're sharing this article about the most remarkable women in AI and technology to encourage gender diversity and honor the achievements of Women in Artificial Intelligence


Ujjyaini Mitra

Ways To Democratize Access To Data


Ujjyaini Mitra is Chief Data Officer at Zee Entertainment Enterprises Limited. 

She goes beyond ‘Best in Class’, and is passionate to build ‘Next in Class’ innovative solutions for businesses using design thinking, innovation, and AI. 

She has over 14 years of rich Leadership experience in establishing Data as a Culture at large organizations. Her work experience is spread over the Globe across industries – Digital Media & Entertainment, E-commerce, Telecommunication, just to name a few. In a nutshell - Ujjyaini is a strong people leader with in-depth domain expertise.

Lakshya Sivaramakrishnan

Bringing communities together with tech


Lakshya Sivaramakrishnan is a Technical Program Manager at Google. She manages the Women Techmakers Program in India. 

She is a Data Science enthusiast building tech expertise in Machine Learning and Google Cloud. She enjoys nurturing communities and empowering women to join, thrive, and lead in the tech industry.



Fei-Fei Li

The next person on the list is one of the most important women in AI, Dr. Fei-Fei Li. She’s regarded as “one of the top minds” in artificial intelligence. And her career revolves around academia. 

She’s the inaugural Sequoia Professor in the Computer Science Department at Stanford University. But she works outside faculty as well, having co-founded AI4ALL, a non-profit organization intent on boosting diversity and inclusion in AI education, research, development, and policy. 

And her research expertise spans AI, machine learning, deep learning, computer vision, and cognitive neuroscience.



Tyler Wood

Inclusivity within AI & Cyberspaces

Tyler Wood is a keynote speaker, author, blogger, national security expert, and overall cyber authority. 

She is relied on to provide unique insight into cyber threats, cyber warfare, mitigating cyber risk, national security, and ensuring industries have the tools and knowledge they need to defend themselves in the digital world. 



Katie King

10 tips to harness AI

Katie King is the CEO of AI in business. Additionally, she is a Board Advisor, a published author, and a Keynote Speaker on Artificial Intelligence (AI) and digital transformation. 

With over 30 years of experience, she has advised many of the world’s leading brands and business leaders, including Accenture, PA Consulting, Orange, etc


Caitlin Smallwood

Caitlin Smallwood is the VP Data & Insights at Netflix

Caitlin heads various data science functions at Netflix – the world’s most popular OTT platform with over 50 million subscribers. 

She has leveraged her expertise in AI-enabled analytics and recommendations systems for various application use cases including data engineering, statistical research, consumer research, personalizing recommendations, and developing mathematical models that enhance Netflix and make it what it is today. 



Priyanka Roy

Vision for your AI strategy

Data & AI Solution Area Specialist at Microsoft. She’s passionate about solving business problems with technology. 

In her 15 years of international experience across India, Germany, the USA & New Zealand, she has helped businesses make better decisions and improve performance by unleashing the power of their data through Business Intelligence & Analytics. 

Along the way, she has lead, built, and mentored teams to design and deliver Data and AI solutions.


Nadia Vincent

Empowering your business with AI

Nadia Vincent is a Digital Transformation and AI executive advisory.

She has extensive experience in leading high-profile digital transformation projects and programs in Fortune 100 organizations from start to finish. 

She has created the digital transformation success formula as the approach for a 360° business transformation.


Daniela Rus

Daniela Rus, Director at MIT Computer Science & Artificial Intelligence Lab (CSAIL)

Daniela Rus is the Director of MIT Computer Science and Artificial Intelligence Laboratory (CSAIL). 

She is one of the world’s leading roboticists known for her work in artificial intelligence, self-reconfiguring robots, shape-shifting machines, mobile computing, and programmable matter. 

Her research is instrumental in developing collaborative robotics technology. She is the recipient of the 2017 Engelberger Robotics Award from the Robotics Industries Association.  



Aleksandra Przegalinska

Exploring international technology transfer

Aleksandra is an associate Professor at Kozminski Uni. She was the Former MIT Research Fellow and future Harvard Senior Research Fellow. 

She has a Ph.D. in Artificial intelligence and is interested in new technologies, sustainable technological growth, and media studies as well as critical theory and system/organization theory. Her current specialization is in wearable tech. 

Allie Miller

Allie Miller, Global Head of Machine Learning Business Development, Startups and Venture Capital at Amazon

Allie is the head of AI growth for startups and Venture Capital at Amazon Web Services. A well-known AI influencer, Allie has authored eight guidebooks on building successful AI projects and spoken at several AI events around the world. 

She has also addressed the European Commission and helped draft national-level AI strategies. You can subscribe to her YouTube channel here


Tulsee Doshi

Can we eliminate algorithmic bias?

Tulsee is the product lead for Google’s efforts in ML Fairness and Responsible AI, driving a deeper understanding of how we can build user experiences that are diverse, inclusive, and ethical. 

Her goal is to drive a human-centered approach to the development of machine learning-based technology and experiences so that we build systems that can truly work for everyone. She developed an expertise in product management for machine-learning products, with a particular focus on AI ethics in policy & product development



Rana el Kaliouby

Rana el Kaliouby, CEO & Co-Founder, Affectiva. Rana is an AI thought leader and the author of the book – Girl Decoded. 

She is the co-founder and CEO of Affectiva, an MIT Media Lab spinoff credited with creating the category of artificial emotional intelligence, or Emotion AI. 

She is part of industry organizations like the Partnership on AI and the World Economic Forum’s Council of Young Global Leaders. A strong advocate of ethical development and deployment of AI, Rana is on a mission to humanize how people interact with technology. 


Joanna Bryson

The problem with algorithms: Who’s responsible for AI bias?

Joanna is the Professor of Ethics and Technology at Hertie School who specializes in natural and artificial intelligence. 

Her current research focuses on accountability for and transparency in AI and understanding the cultural and technological impact of the cooperation between digital technologies and humans. This includes economic and political behavior, and national and transnational governance, and the political economy and technology regulation. 

In her research for Systems AI, Joanna looks for methods that promote the ease and safety of developing AI. She believes good systems AI makes autonomy easier to build, understand, control, and account for.

Joy Buolamwini

Joy Buolamwini, Founder, Algorithmic Justice League

She is also an algorithmic bias researcher at MIT media. 

Her research has been covered in over 40 countries and has helped uncover racial and gender bias in AI technologies of large corporations such as Microsoft, IBM, and Amazon. 

Buolamwini established the Algorithmic Justice League for promoting ethical and more inclusive AI. She is also part of the Global Tech Panel convened by the VP of the European Commission to advise world leaders and technology executives on ways to prevent the harms of AI. 

Nazarene Ebrahim

Controlling AI bias and fairness

As a Media and Communications Specialist, Nazarene has consulted on, experienced, and directed the workings of online and corporate communications and marketing across a variety of industries like tech, education, agriculture, and retail, over the last 15 years. 

She recently began her journey towards becoming an AI ethics officer to strengthen the AI African Report research team at tech social enterprise Socially Acceptable, where she is the CEO and Founder. 

In addition to consulting, she also provides face-to-face training and entrepreneurial mentorship and has produced and anchored a variety of television and radio shows in the past few years.


Dorothea Baur

Handling fake news through AI

Dorothea Baur is the owner of Baur Consulting AG, where she advises companies, non-profit organizations, and foundations, on ethics, responsibility, and sustainability- with a focus on environmental, social, and corporate governance and responsibility, finance, tech & data privacy.

She identifies opportunities and risks at the interface between business, technology, society, and the environment while developing innovative strategies and an effective approach to ethical questions. 

Daphne Koller

Daphne Koller, Founder & CEO at insitro

Daphne is the CEO and Founder of insitro – a company that leverages ML and high-throughput biology for drug discovery. 

She began her career as a professor at the Computer Science department at Stanford University in 1995, where she spent the next 18 years. She then worked as the Chief Computing Officer of Calico, an Alphabet company in the healthcare space. 

She is a recipient of numerous honors and awards including the Sloan Foundation Faculty Fellowship.

Romina Sharifpour

Tackling model drift in Machine Learning

Romina Sharifpour is an AI/ ML Solutions Architect at Amazon Web Services (AWS). 

She has helped many clients in building innovative and progressive corporate strategies fostered by advancements in data science and AI and has worked as a technical and strategic leader- executing across disciplines to engage senior stakeholders through robust analytics solutions with an emphasis on cutting-edge technology. 

Her leadership qualities and strategic vision are amplified by her experience in building and managing high-performing teams, coaching, and mentoring in tandem with her endeavor to stay up to date with the relevant advancements in the field.


Dr. Anastassia Lauterbach

How to tackle the Deepfake future

Dr. Anastassia Lauterbach is a technology strategist experienced in the domain of the high-tech ecosystem and is the leading author for "The Artificial Intelligence Imperative”.  

She’s able to structure partnership agreements with global technology companies offering a competitive advantage. She inspires and motivates people and relies on powerful analytics to solve problems and facilitate rapid decision-making.  Dr. Anastassia trains corporate boards of Fortune 500 in cybersecurity and data technologies. 


Cassie Kozyrkov

Cassie Kozyrkov is Google’s lead data scientist and prominent advocate of safe, reliable AI. 

Her focus is on applied AI and data science process architecture. Cassie founded the field of ‘decision intelligence’ at Google, bringing social science, decision theory, and managerial science together with data science to inform our understanding of how actions lead to outcomes. 

Among her accolades, she has appeared on the cover of the Forbes AI data science issue and was named the LinkedIn #1 Top Voice in Data Science and Analytics in 2019. 

Maria Luciana Axente

The march towards ethical AI

Maria Luciana Axente is the lead for Responsible AI & AI for Good at PwC UK. She leads the implementation of ethics in AI for the firm on three-level at an organization, product/team, and individual level partnering with industry, academia, governments, NGO, and civil society. 

She helps PwC harness the power of AI ethically and responsibly while acknowledging the benefits and risks in many walks of life. Maria is also a globally recognized AI ethics expert one of 100+ Brilliant Women in AI & Ethics 2019 and 2020.



Maaike Groenewege

Designing effective conversational interface

Maaike Groenewege is a Conversational consultant, Conversational linguist, Content Architect, and Founder of Women in Voice NL. 

She focuses on all aspects of sustainable chatbot and voice assistant implementation. From project management and platform selection to content strategy and conversation design. 

Having worked as a technical writer in aviation for 14 years, she believes that creating a chatbot, knowledge base or any other information product is not the hardest part. The real challenge is in creating great content experiences through continuous maintenance, improvement and innovation, and building organizations that make this possible.



Kate Crawford

Kate Crawford, Sr Principal Researcher at Microsoft

Kate  is a Principal Researcher at Microsoft. She co-founded the Fairness, Accountability, Transparency, and Ethics (FATE) group at Microsoft. She is also a distinguished Research Professor at NYU, a Visiting Professor at MIT’s Center for Civic Media, and an Honorary Professor at the University of New South Wales. 

She is known for her research on the social impacts of large-scale data systems, machine learning, and AI. She has authored several articles for leading publications including The New York Times, The Atlantic, The Wall Street Journal, and Harper’s Magazine. 



Karla Taboada

Effects of AI in Social media

Karla Taboada is the founder of  Domitila Technologies. 

She is an AI education leader, Changemaker, and AI & Data Science Specialist. She’s passionate about helping people and organizations reach their full potential while positively impacting society by increasing the access and tools to learn and apply the latest technological advancements. 

She is also interested in educating children about AI, and its impacts on society to promote human-centric AI.

Mounia Lalmas

Mounia is a Director of Research at Spotify and the Head of Tech Research in User Engagement, where she leads an interdisciplinary team of research scientists focused on personalization and discovery. 

Her work focuses on studying user engagement in native advertising, digital media, social media, search, and now music, using AI technology – clearly extremely relevant in today’s digital world. 

Mounia’s previous roles include Director of Research at Yahoo and Research Chair in the school of computing science at the University of Glasgow. She has supported and enabled numerous Ph.D. and MSc students worldwide to graduate, encouraging the next generation of data scientists to bring positive developments to the sector, which we applaud.


Bindu Narayan

Perception of Artificial Intelligence

Bindu Narayan is the Senior Manager (Advanced Analytics and AI) at EY. 

She is an analytics professional with a passion for mentoring and solutions. What drives her is developing analytical solutions and products with a clear market value proposition. 

She believes there is a lot that organizations can and should do with data. She specializes in Team Management and Delivery, Predictive Modeling, Statistical Modeling, and Machine Learning 



Dr. Renata Afi Rawlings-Goss

Dr. Renata Rawlings-Goss is a biophysicist by trade, and much of her research focuses on data-driven analysis of genetic/expression variation among worldwide human populations. 

Beyond her research, she actively promotes the advancement of AI through effective partnerships and learning. 

She is currently the founding Executive Director of the South Big Data Innovation Hub, whose mission is to develop partnerships among universities, industry, and government around Big Data, Data Science, and the Internet of Things. 

Jane Frankland

Cybersecurity 101

Jane Frankland is an award-winning entrepreneur, international speaker, and best-selling author. 

She focuses on business strategy and high performance in cybersecurity and is a world authority on attracting and retaining women in this field. She has been named a UNESCO trailblazing woman, as the third most influential person in cybersecurity in the UK, and is a top twenty global influencer. 

Jane has over 23-years of experience in cybersecurity, has built and sold her global hacking firm, and served in executive positions at leading cybersecurity consultancies.


Nikita Johnson

Nikita is the Founder of RE•WORK, an events organizing company that brings together a cross-disciplinary mix of industry, startups, and academia to explore the latest advancements in emerging technology, specifically artificial intelligence, and their impact on solving challenges in society.

 

We want to hear from you

We could have missed some honorable women that deserve to be on this list. That’s where you come into the picture.

Let us know who you think should be included in our list and we’ll get in touch with them and make the magic happen! 


Note: The influencers in this list are selected based on their research work, social media influence & followership, achievements, and association with the innovation in the AI domain. This article is not intended to convey any form of ranking amongst the influencers listed here.


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