"Women are more likely to be employed in jobs that face the highest automation risks. For example,
73% of cashiers in shops are women and 97% of cashiers are expected to lose their jobs to automation.
The same report predicts that persistent gender gaps in science, technology, engineering and mathematics
(Stem) fields over the next 15 years will also undermine women's professional presence."
"WIRED worked with Montreal startup Element AI to estimate the diversity of leading machine learning
researchers, and found that only 12 percent were women."
It should be obvious that all groups need to be represented and involved in the AI revolution so that all inventions
from all perspectives and the various side effects and ripples caused are caught, understood, and addressed. These are
complicated issues and because they differ greatly by gender, economic status, geography, etc., we need all-hands-on-deck.
Otherwise, the ramifications could be catastrophic and we may be stuck in a lopsided world and a recipe for a horrible
My Call to Action - Join the Tech and Machine Learning Industry
I've been in tech all my life and I can attest that it has historically been a very male-heavy industry. But it is
changing. If you are on the fence whether to enter this field or not, I'd say the salaries are really good and the
challenges extremely interesting. If you like solving problems using cunning and creativity, you'll find this career
It starts with schools. The more diverse group of students we can get to join tech programs the better. So,
I want to encourage anybody looking for an intellectually stimulating career to consider this field.
There's something for everybody - if math isn't your thing, then there's logic, this was my case. If it
isn't logic, then there are 100's of other specialties in this field waiting for you! Don't let any
fears stop you - it is too big and changing rapidly for preconceived notions.
I also imagine that joining a team made of 90% males isn't always easy. That's something that is slowly changing.
It has gotten better and it will get better especially if you join in. A big change in today's work environment is
remote work. I have been working remotely for quite a few years and it makes for a very safe and comfortable
environment. You will be able to focus on problem-solving without the distractions of a large office environment. The
company I work for, SpringML, is mostly remote with employees all over the world. We communicate
with Google Hangouts and make our time together count by exchanging ideas, techniques, latest tools, and we skip the BS.
Another company that comes to mind is UnitedHealth Group. It is one huge organization with over 260,000 employees yet 25% of
those telecommute successfully. We will see more of that as companies don't want to hire specialists in every city along with
the realization that remote workers often outperform their peers.
Data Science is Fun
I have a large number of walk-throughs on data science free for everybody. They are written in simple English and
attempt to break down complex data science work into practical exercises. Find them
I have created a series of
Udemy.com classes about data science. If you are on the fence and want to get a feel for what data science is
about in either R or Python, connect on Twitter and message me the class you want to try and I'll send you a free coupon.