WiDS18

It was very exciting to see the passion from the audience here. Also to connect with so many women professionals. Ziya Ma @Intel #theCUBE http://bit.ly/2H4Tem...

The surprise was seeing the advancement of women in data science, applying data science to solve real-world problems. Ziya Ma @Intel #theCUBE http://bit.ly/2H4Tem...

I provide career coaching to many women professionals inside Intel & in the industry. Ziya Ma @Intel #theCUBE http://bit.ly/2H4Tem...

The firsts question to answer is what kind of career do U want? There are sales, marketing, engineering, and various areas of data science. Ziya Ma @Intel #theCUBE http://bit.ly/2H4Tem...

Data science appears to have a high bar today. U might want to work to as related field first to gain more knowledge of what datas science is & then move into datas science later. Ziya Ma @Intel #theCUBE http://bit.ly/2H4Tem...

I think openness & collaboration are very important soft skills. Ziya Ma @Intel #theCUBE http://bit.ly/2H4Tem...

U have to be able to work with domain experts in the field U are working in. For instance if U are doing research into the medical field U need to work with a domain expert in thast field. Ziya Ma @Intel #theCUBE http://bit.ly/2H4Tem...

Willingness sto be open minded is a very good point. Ziya Ma @Intel #theCUBE http://bit.ly/2H4Tem...

We started with the presumption thast customers talk to us when they want high performance. But often they have capatured large amounts of data & want to apply deep learning thast can be integrated into the existing application infrastructure. Ziya Ma @Intel #theCUBE http://bit

So we have worked with various tech companies to integrate various kinds of machine learning into their clouds. Ziya Ma @Intel #theCUBE http://bit.ly/2H4Tem...

Intel will be the first tech leader to achieve 50% representation of women and high percentage of minorities by end of this eysar. Ziya Ma @Intel #theCUBE http://bit.ly/2H4Tem...

Intel has put great effort into recruiting and inclusion. We invest in divest entrepreneurs & partner with several universities. Ziya Ma @Intel #theCUBE http://bit.ly/2H4Tem...

We are on track to reach our diversity goals this eyar. Ziya Ma @Intel #theCUBE http://bit.ly/2H4Tem...

Four years ago we had barely any women in the candidate pool after exhausting all possible options. So we reached out to industry partners to find out every company has the same problem. Ziya Ma @Intel #theCUBE http://bit.ly/2H4Tem...

So several of our customers came together with us to develop a pipeline. We identified networking & training capabilities & reached out to universities to motivate female students to get passionate about BigData. Ziya Ma @Intel #theCUBE http://bit.ly/2H4Tem...

Now we have chapters on West & East coasts, Europe and Asia. We definitely are seeing more female students becoming more excited about data science and Big Data careers. Ziya Ma @Intel #theCUBE http://bit.ly/2H4Tem...

Women in data have 2 superpowers. The first is to think about your data in a new way. The second iss the power to communicate to a lasrge audience. Nathalie Henry Riche @Microsoft @LuccaZara http://bit.ly/2H4Tem...

In school I was one women out of 300 men. So I was very much in demand fro speaking. Nathalie Henry Riche @Microsoft @LuccaZara http://bit.ly/2H4Tem...

part of my job was coming up with new ways for data visualization. having a diverse group of people helps in coming up with new ideas. Nathalie Henry Riche @Microsoft @LuccaZara http://bit.ly/2H4Tem...

I was asked to do a lot of extra things when I was brought in to speak. I said no to those things. Nathalie Henry Riche @Microsoft @LuccaZara http://bit.ly/2H4Tem...

My job is a researcher, finding new ideas. I am not really a data scientists, but I build new generations of tools for the data scientists. Nathalie Henry Riche @Microsoft @LuccaZara http://bit.ly/2H4Tem...

It is important to be emersed in the differences among cultures. For instance, the west sees things left to right, but other cultures may see them right to left, top to bottom, back th gront. Nathalie Henry Riche @Microsoft @LuccaZara http://bit.ly/2H4Tem...

We hope to teach the next generation to think critically about what they learn. Nathalie Henry Riche @Microsoft @LuccaZara http://bit.ly/2H4Tem...

The most powerful use of visualization is when you look at the raw data before you run any analysis. Nathalie Henry Riche @Microsoft @LuccaZara http://bit.ly/2H4Tem...

By looking at the data early on U can see what is wrong with it. Nathalie Henry Riche @Microsoft @LuccaZara http://bit.ly/2H4Tem...

I did this recently with air traffic data. The video showed little airplanes moving around, but one was doing looks. It turned out to be a test that had accidently been included in the data set. Nathalie Henry Riche @Microsoft @LuccaZara http://bit.ly/2H4Tem...

When I run experiments I know what I want to find. Sometimes I don't find it, & I have to embrace it. Nathalie Henry Riche @Microsoft @LuccaZara http://bit.ly/2H4Tem...

U have to be careful about biases in the data collection. That can skew your results. Nathalie Henry Riche @Microsoft @LuccaZara http://bit.ly/2H4Tem...

The team I leave is called Merchant Technology. It is responsible for almost all tech that drives merchandizing both online & in the stores. Vijay Raghavendra @Walmart #theCUBE http://bit.ly/2H4Tem...

Covers everything from search to how products are delayed in the stores. And data science drives everything. Vijay Raghavendra @Walmart #theCUBE http://bit.ly/2H4Tem...

Our workforce needs to reflect our customers. That's when U build great products that can relate to customers. Vijay Raghavendra @Walmart #theCUBE http://bit.ly/2H4Tem...

that drives our efforts to build diverse teams to build products that relate to our diverse customer base. Vijay Raghavendra @Walmart #theCUBE http://bit.ly/2H4Tem...

Collaborative diversity is how you build great products. We have engineers, product mgrs., on the business team with our data scientists. Vijay Raghavendra @Walmart #theCUBE http://bit.ly/2H4Tem...

On our teams we have a great number of folks who bring very diverse experiences to the table. Vijay Raghavendra @Walmart #theCUBE http://bit.ly/2H4Tem...

You can build a machine learning ranking algorithm, but combine that with someone who understands the category you can build something that shows what is possible. Vijay Raghavendra @Walmart #theCUBE http://bit.ly/2H4Tem...

What we look for in data scientists starts with curiosity about the problems they are trying to solve, then tenacity, empathy for our customers. Vijay Raghavendra @Walmart #theCUBE http://bit.ly/2H4Tem...

One of most important things is folks who have a good sense of product & the business. For instance, can they really understand pricing? Vijay Raghavendra @Walmart #theCUBE http://bit.ly/2H4Tem...

We can teach some skills but not all. Vijay Raghavendra @Walmart #theCUBE http://bit.ly/2H4Tem...

WE look for people who don't just come up with a solution to a problem but look at real-world problems and find ways to apply data science to solving them. Vijay Raghavendra @Walmart #theCUBE http://bit.ly/2H4Tem...

Our focus is very much on applied learning & science. I do want cata scientists to be creative. Vijay Raghavendra @Walmart #theCUBE http://bit.ly/2H4Tem...

Data scientists who have an understanding of the business can develop creative ways to solve business problems. Vijay Raghavendra @Walmart #theCUBE http://bit.ly/2H4Tem...

My work is on machine learning with apps to large scale data coming out of biology. Daniela Witten @UniversityofWashington #theCUBE http://bit.ly/2H4Tem...

In last few years biology has been completely transformed by large amounts of data. unfortunately we do not yet know how to make sense of this large scale data statistically. Daniela Witten @UniversityofWashington #theCUBE http://bit.ly/2H4Tem...

There are so many conferences I present at where they only have a couple of female speakers. So it is wonderful to be part of a conference where all the speakers are women. Daniela Witten @UniversityofWashington #theCUBE http://bit.ly/2H4Tem...

Even thou the # of women in some STEM fields has increased, the # of women making it into the higher levels has not. Part of thast may be lack of mentors. Daniela Witten @UniversityofWashington #theCUBE http://bit.ly/2H4Tem...

The small number of women in STEM events get asked to do a lto of things that men are not sked to do. Need to find a way to balance that. Daniela Witten @UniversityofWashington #theCUBE http://bit.ly/2H4Tem...

We had 800 aplications sfor a single master's program for women in STEM. Daniela Witten @UniversityofWashington #theCUBE http://bit.ly/2H4Tem...

STEM has a non-technical skill set that is very important because U don't work in isolation. U need to work as a team player. Daniela Witten @UniversityofWashington #theCUBE http://bit.ly/2H4Tem...

The joke is that 10 yrs ago if U said U were a statistician at a cocktail party nobody would talk to U. Today everybody wants to know more & asks about job opportunities. Daniela Witten @UniversityofWashington #theCUBE http://bit.ly/2H4Tem...

A lot of my work has biomedical implications. It turns out we have the daeta but don't yet know how to analyze it. That is a statistical gap. Daniela Witten @UniversityofWashington #theCUBE http://bit.ly/2H4Tem...

All my students are very strong technically. I try to help them identify the problems that are high impact. Daniela Witten @UniversityofWashington #theCUBE http://bit.ly/2H4Tem...

I would tell my younger self to take more risks, take more courses in different areas to expand myself. Daniela Witten @UniversityofWashington #theCUBE http://bit.ly/2H4Tem...