Women’s Day 2019 – Showcasing 11 Incredible Women In AI Today

You already know that artificial intelligence is grabbing the world, transforming nearly every industry, business, trade, and function. But what you might not know are the incredible AI technologist and researchers powering the edge of this momentous revolution. 

Breakthroughs in AI are incredible, isn’t it? But how does it all occur? It’s when extremely talented and diverse thinkers from unique backgrounds, disciplines, expertise, and perspectives come forward. You might think of names like Andrew Ng (Baidu), Amit Singhal (Uber), Elon Musk (SpaceX & Tesla), Ginni Rometty (IBM) and Ray Kurzweil (Google) – but wait why all men?

2019 March, on International Women’s Day, CloudXLab aims to showcase 11 incredible women in AI.

11 Incredible Women In The AI Today

Building on what we said, here is a list of eleven incredible women who have excelled in the world of Artificial intelligence.

1. Rana el Kaliouby

CEO, Affectiva

What She Does – She is regarded as the pioneer in emotional AI or emotional intelligence (EQ). She co-founded the start-up Affectiva, and invented the emotion recognition technology, which is used by the company to give life to their mission i.e. Humanize Technology with Artificial Emotional Intelligence. Prior to founding Affectiva, she headed applications for facial coding to benefit mental health, autism and other research areas as a research scientist at MIT Media Lab.

2. Fei-Fei Li

Co-Director, Stanford University’s Human-Centered AI Institute and Stanford Vision Lab & Co-Founder AI4ALL.

What She Does – Currently the Co-Director of Stanford University’s Human-Centered AI Institute and the Stanford Vision and Learning Lab. In 2017, she co-founded AI4ALL, a nonprofit organization working to increase diversity and inclusion in the field of artificial intelligence. Li also joined Google Cloud as Chief Scientist of Artificial Intelligence & Machine Learning to advance her mission of “democratizing AI”. She is best known for her prominent work is in the field of computer vision. She is also part of scientific teams who have made advancements in image recognition software. Beyond meek identification of objects in visuals, Image Recognition can now recognize scenes and generate descriptions of them in English – Thanks to Li and her team.

3. Daphne Koller

Founder And CEO, Insitro

What She Does – Koller is considered as one of the leading scientists in the field of AI. She initiated and led one of the worlds largest online education platform, Coursera. She was an artificial intelligence researcher at the Department of Computer Science at Stanford University and, chief computing officer at Alphabet’s Calico Labs. Koller is now heading new machine learning drug discovery venture called Insitro.

4. Cynthia Breazeal

Founder & Chief Scientist – Jibo, Inc.

What She Does – Founder and Chief Scientist at Jibo, Inc., i.e. a firm that focusses in developing social robots, and a pioneer in Social Robotics and Human-Robot Interaction. Cynthia’s research mainly focusses on developing the principles, technologies, and techniques, for personal robots which are socially intelligent and can communicate with humans on human-centric terms. In addition to this, Cynthia is also associated with MIT as Associate Professor of Media Arts and Science. At MIT, she founded and directs the Personal Robots Group at the Media Lab.

5. Latanya Sweeney

Professor at Harvard University

What She Does – She is the Professor of Government and Technology at Harvard and Director of Harvard’s Data Privacy Lab. Prior to this, she served as the Chief Technologist of the Federal Trade Commission. She has made several contributions to privacy technology and best-known for her academic work on the theory of k-anonymity. At Harvard Sweeney tackles socio-political and governance issues with technology.

6. Aleatha Parker-Wood

Sr. Principal Research Engineer and Manager at Symantec

What She Does – She led a team of Ph.D. researchers dedicated to protecting people and their data, using hi-tech Machine Learning and security expertise. In addition to research, she also teaches and mentors the next generation of engineers and scientists. At Symantec, she created and deployed advanced ML which powers symantec’s latest antivirus product. Aleatha also created ML for URL reputation engines, Advanced Threat Protection, and many Symantec products.

7. Catherine Havasi

Principal, Snowcap Ai & CEO, Luminoso

What she does – Havasi is Principal at Smowcap Ai, a company that aims to help businesses extract real value from artificial intelligence and emerging technologies. She is also CEO and co-founder at Luminoso. Havasi was one of the people behind ConceptNet, an open-source natural language artificial intelligence program and one of the creators of the MIT’s Open Mind Common Sense project. In 2015, she was named one of the “100 Most Creative People in Business”.

8. Carol Reiley

Co-Founder & President, Drive.ai

What She Does – An engineering entrepreneur, AI roboticist, and executive, Carol is also nicknamed as “Mother Of Robots”. She co-founded multiple startups and launched several robotics products in highly regulated industries. She is also the co-founder of drive.ai, a Silicon Valley startup specializing in Level 4 self-driving cars.

9. Manuela M. Veloso

Professor at Carnegie Mellon University

What She Does – Veloso is observed as an international expert on AI, robotics and machine learning. She is head of Machine Learning Department in the School of Computer Science at Carnegie Mellon University and professor at Herbert A. Simon University. Veloso was the co-founder and former president of the RoboCup Federation, and until 2014 she was the president of Association for the Advancement of Artificial Intelligence.

10. Hilary Mason

GM of Machine Learning, Cloudera

What She Does – GM of Research at Cloudera. Hilary is also the Founder of Fast Forward Labs, a machine intelligence research company, and was the Data Scientist in Residence at Accel and the Chief Scientist at bitly.

11. Cassie Kozyrkov

Chief Decision Scientist, Google, Inc.

What She Does – Cassie is a data scientist and executive at Google. She is on a mission to democratize Decision Intelligence and safe, reliable AI. According to her LinkedIn profile she has provided guidance on more than 100 projects and designed Google’s analytics program, personally training over 15000 Googlers in statistics, decision-making, and machine learning.

This list of 11 incredible women in AI isn’t a comprehensive one. There are many more talented people contributing to this field than we can summarize in a single article.

In A Man’s World…. Women Still Struggle To Find A Strong Foothold

Yes, it’s true that – it is still a man’s world! Women are often understated in STEM fields – i.e. Science, Technology, Engineering, And Math; in fact, they must struggle every single day to make a mark in it. Unfortunately, the disparity between the number of men and women with successful careers in STEM is huge.

But the good news is – this Gap is shrinking steadily. Yes, Women aren’t giving up! Instead, they are working hard towards making their mark in the world of data and technology. All the women featured here have overcome personal and professional challenges to attain incredible impact and become role models for the industry. We are proud to tell you their stories.

Happy Women’s Day 2019!

Career In Artificial Intelligence: Myths vs. Realities

In recent years, career opportunities in artificial intelligence (AI) has grown exponentially to meet the rising demand of digitally transformed industries. But while there are amply of jobs available in AI, there’s a momentous shortage of top talent with the essential skills. But why does this demand and supply gap exist? Many aspiring candidates wish to join the AI bandwagon, but several myths hold them behind.

Job site Indeed highlights, the demand for AI skills has doubled over the last 3 years, and the total number of job postings has upsurged by 119 percent. But, job-aspirants interest in a career in artificial intelligence seems to have leveled off. This clearly indicates employers are struggling to get good talent. This is surely good news for all those planning to transit their careers into AI!

Well, building a career in artificial intelligence demands a self-controlled approach. You might be interested in a career switch because of the exciting opportunities floating in this booming industry or maybe for that long deep-rooted interest to pursue AI as a career. Regardless of what your inspiration is, the first step to moving ahead in the AI career path is to ditch the myths and misconceptions that for long has been blocking your path.

Career In Artificial Intelligence: Myths vs. Realities

Myth #1: AI Is an Extremely New Field

The term “artificial intelligence” was coined by John McCarthy way back in the year 1956. Even though the concept of AI isn’t new, it has been creating more of a buzz across the globe in recent years.

Myth #2: AI Can Be Learned Only In Prestigious Institutions

This is probably one of the biggest myths, the reality is you can learn as well as practice AI from the comfort of your home. Today there are many online learning platforms available for you to join and develop your skills in AI and enrich your resume – CloudXLab is one of them.

Myth #3: Artificial Intelligence, Machine Learning or Deep Learning – All Are Same

One of the most common confusions. AI is often misconstrued with Machine Learning, Deep Learning, and even Cognitive Processing. But the truth is that ML is a subset of AI wherein feeding data regularly train the systems, and deep learning is a subset of ML. AI is the core and is broader than ML, deep learning and cognitive processing.

Myth #4: AI Is For Tech Companies

The initiation of AI is undoubtedly driven by technology companies. But now it is increasingly being incorporated by other industries and sectors. Right from healthcare sectors to financial, BFSI to e-commerce, FMGC and so on, every single vertical is keen to devour the AI-powered opportunities to yield significant benefits.

Myth #5: Career In AI Demands Specialization

You may read this everywhere,

As an AI aspirant, you need to have skills and exposure in Statistics and probability, Applied Maths, Algorithms and coding, Programming languages like Python, C++, Java, R, and Distributed Computing

But That Is Just One Side Of The Story!

Beyond technical skills, AI demands an innate sense of curiosity and a drive for problem-solving.

Leaving technical background aside, an AI aspirant needs to be analytical to understand data and craft algorithms and be incredibly creative to solve problems with new and innovative solutions. Simply put, learning AI demands a combination of analytical ability, creativity, and problem-solving skills.

You may want to look at our course AI for Managers. The idea of the course is that Managers should be able to predict the data given to them. For them, it’s not obligatory to know the Math’s behind it. In a similar way, AI for Managers course comes with only those areas that are highly focused on solving and managing AI And Machine Learning Problems.

Myth #6: Maths And Programming Are Required For learning AI And Machine Learning

Hear From Experts

Myth #7: AI Opportunities Are Great Only At Top Tech Companies

AI experts have become one of the most in-demand and best-paid talents in today’s technological marketplace. It is true that top tech companies are looking to hire AI professionals in huge numbers, but budding startups aren’t behind. With technology driving the future of startups, they have some really interesting things going on which could drive the future. Startups are continuously scouting to hunt good talent and hire them even if they have to pay higher paychecks. Starting salaries range from ₹ 10-20 lakh per annum and can go up to ₹ 25 -40 lakh per annum for 5-10 years of experience.

Wrapping Up

The field of AI has been growing rapidly in the last few years. From Apple to Alexa, Self-driving Cars to Sophia Robot, AlphaGo to IBM Watson and many more such innovations are taking place every now and then. Definitely, currently, AI is one of the most trending careers on the planet. And in the future, we don’t see any prospect of it slowing down.

Remember, worldwide thousands of job openings in Artificial Intelligence are being posted every single day, and most of the positions are unfilled. The reason is simple, there are too few qualified candidates to fill them. If you have decided to move ahead for a career in artificial intelligence. Then a good knowledge of AI is a must.

Think No Further Check Our “AI For Managers” Course Content Here!