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Women in Data Science Conference: February 3rd (Stanford, CA)


Women in Data Science Conference 2017


Watch theCUBE at WiDS 2017 Live


Watch WiDS Conference 2017 Live


Event Details:

  • Date:
        February 3rd, 2017
  • Location:
         Stanford Campus – Alumni Center
         326 Galvez St,
         Stanford, CA
  • Watch Live:
         Live
  • Listen:
         CubeCasts at SoundCloud and iTunes.

2016 Event Coverage:


2017 Event Coverage:


WIDS Kickoff
Kickoff with John Furrier


WIDS Wrap Up
Wrap Up with Lisa Martin and Jeff Frick


Guests Included


Esteban Arcaute
Senior Director & Head Data Science, @WalmartLabs

Esteban Arcaute

Interview Overview: Where data science meets commerce: Walmart’s out to create retail psychics
Esteban Arcaute, senior director and head of data science at @WalmartLabs, stopped by theCUBE and talked with Lisa Martin (@Luccazara) about how some of the market’s biggest boosts in data science are coming from companies with a primary focus on standard retail. The impact of data science on sales, and the incentive for those retailers to enhance their practices with data science, are forming an important partnership of commerce and science, Arcaute said. He discussed the role of data science in retail, noting the industry generates an enormous amount of data across a wide variety of interactions. For a company the size of Walmart, “A lot of ready-made solutions that are available for other companies, they’re just not viable for us,” he said. Read the full blog post with highlights from his interview at SiliconANGLE.com.
 
This was Esteban’s first time visiting theCUBE!


Finale Doshi-Velez
Assistant Professor, Computer Science, Harvard University

Finale Doshi-Velez

Interview Overview: Cleaning up messy data at the intersection of machine learning and healthcare
Finale Doshi-Velez, assistant professor of Computer Science at Harvard’s John A. Paulson School of Engineering and Applied Sciences, stopped by theCUBE and talked with Lisa Martin (@Luccazara) about how when medical care intersects with technology, the possibilities are life changing. Machine learning introduces new insights to healthcare professionals through compiling big data to improve the way doctors and clinicians can diagnose, treat and even predict outcomes for their patients. One of the projects Doshi-Velez is currently working on is applying machine learning to the autism spectrum. Children on the spectrum have individual needs, and the goal of this research is to use big data and machine learning to find more natural, more specific categories. “Once we can divide this disease into better subgroups, we may be able to provide better prognoses and better treatments for these children instead of just lumping them into this big bucket,” Doshi-Velez said. Read the full blog post with highlights from her interview at SiliconANGLE.com.
 
This was Finale’s first time visiting theCUBE!


Yael Garten – NSA/CSS Director of Research, National Security Agency

Yael Garten

Interview Overview: Decision science meets machine learning: LinkedIn embraces its data-driven culture
Yael Garten, director of data science at LinkedIn Corp., stopped by theCUBE and talked with Lisa Martin (@Luccazara) about how LinkedIn has a strong “culture of data,” where data scientists can grow and thrive. “Much of LinkedIn is a data product,” said Garten. She gave an example of how her team works with data from its users. The data may tell her team that, in some countries, users are primarily using an Android app to access LinkedIn. So the team notes that, and they discuss if they should work to improve their Android app. Is it worth it to invest in this area? Is it of benefit to enough users in this particular country, and in other countries as well? Read the full blog post with highlights from her interview at SiliconANGLE.com.
 
This was Yael’s first time visiting theCUBE!


Janet George – Fellow Chief Data Officer/Scientist/Big Data/Cognitive Computing, SanDisk, a Western Digital Brand

Janet George

Interview Overview: Moving mountains of data: Can humans learn from the failures of new technologies?
Janet George, fellow and chief data officer/scientist/big data/cognitive computing at WD, a Western Digital Co., stopped by theCUBE and talked with Lisa Martin (@Luccazara) about how humans will remain an essential part of the work equation and that they should learn to work alongside the intelligent machines. Industrial data science led the discussion, with George sharing some insights on how Western Digital approaches using data nodes at the extremely large scales that are being established as standards for the future of data-centric tech companies. “Can we recognize packed-in information at very large scales?” was one question she identified as a driver of their development, along with detecting and extrapolating from patterns at that scale. Read the full blog post with highlights from her interview at SiliconANGLE.com.
 
This was Janet’s first time visiting theCUBE!


Stephanie Gottlib-Zeh
President, Agyleo Sport

Stephanie Gottlib

Interview Overview: The rise of machine learning: Will the human factor be pushed out of data science?
Stephanie Gottlib-Zeh, president of Agyleo Sport, stopped by theCUBE and talked with Lisa Martin (@Luccazara) about how with the rise of machine learning, concerns are being voiced about the future involvement of humans in jobs that computers can handle. “I think data science is one area in which a woman … will have a huge opportunity to move the needle,” said Stephanie. “For industries which have been very conservative … moving to this digital setting is a real challenge but achievable by approaching digital transformation in a holistic way,” she noted. And while many are quickly encountering reasons for making that move, realizing that transition in effective ways is no easy task. Read the full blog post with highlights from her interview at SiliconANGLE.com.
 
This was Stephanie’s first time visiting theCUBE!


Sinead Kaiya
COO, Products & Innovation, SAP

Sinead Kaiya

Interview Overview: End user input helps evolve data science
Sinead Kaiya, COO of products and innovation at SAP, stopped by theCUBE and talked with Lisa Martin (@Luccazara) about how data is the fuel of the future, but it’s a fuel that must be refined. “The CEO truly understands, as do the board members, that the power of many of their decisions are lying today in the data. They want to be able to touch the data and explore the data and really try to dig into it themselves,” said Sinead. The discussion opened up as Kaiya told a brief story about the executives at SAP. They have huge digital touchpads in the boardrooms, and the executives use those pads to touch the data and manipulate it for themselves, she revealed. High-level people don’t want a paper report anymore, they want to see the information come alive. Where CEOs need to go next is to have people who make sense of that data using science, Kaiya stated. Read the full blog post with highlights from her interview at SiliconANGLE.com.
 
This was Sinead’s first time visiting theCUBE!


Miriah Meyer – Assistant Professor, University of Utah

Miriah Meyer

Interview Overview: Team science: Helping students and scientists make sense of data with new tools
Miriah Meyer, assistant professor at the University of Utah, stopped by theCUBE and talked with Lisa Martin (@Luccazara) about how more women are becoming part of the computer and data science industry. “I personally find it so important to communicate clearly,” said Meyer. “It’s probably partly why I do the work that I do. But I learn a lot every time I give a talk at a place like this.” In Meyer’s work as a professor, she teaches both graduate and undergraduate courses, and in doing that she is in a position to interface not only with a new generation of women interested in data and computer science, but also with other scientists who have been in the field all of their lives. In her role as a research scientist, she assists other experienced scientists working on complex problems by making the data they are collecting useful to them. Read the full blog post with highlights from her interview at SiliconANGLE.com.”
 
This was Miriah’s first time visiting theCUBE!


Claudia Perlich
Chief Scientist, Dstillery

Claudia Perlich

Interview Overview: Learning from surprises in the data: the nuance of marketing
Claudia Perlich, chief scientist at Dstillery, stopped by theCUBE and talked with Lisa Martin (@Luccazara) about how data science, and especially the field of predictive analytics, has become a game changer in the advertising and marketing fields. As advertising has become a playground for data sciences, the company Dstillery was one of the pioneers in that space, looking at what people shared on social data and the surprises that can be uncovered in that data. Over the years, Dstillery’s mission has grown; it can now build a digital map of what people are doing online and then bring this information to marketers so that they can identify current and future customers for their products and services. Read the full blog post with highlights from her interview at SiliconANGLE.com.
 
This was Claudia’s first time visiting theCUBE!


Megan Price – Human Rights Data Analysis Group

Megan Price

Interview Overview: How data science is changing the face of human rights
Megan Price, executive director of HRDAG, stopped by theCUBE and talked with Lisa Martin (@Luccazara) about how the Human Rights Data Analysis Group is using technology to analyze data to protect and support people living in opposition without basic civil liberty. Price, who has a doctorate in biostatistics, spent her academic career studying the science. Also drawn to human rights causes, she wondered how to combine her two passions. It wasn’t until a mentor exposed her to the possibilities of blending her education with her interests that she moved on to a career as a human rights advocate. The evolution from statistician to analyzing human rights data began when she worked as a statistician at Benetech where she collaborated with Patrick Ball, a well-known leader in quantitative analysis for truth commissions for prominent organizations such as the United Nations. In 2013, Bell and Price formed HRDAG. Read the full blog post with highlights from her interview at SiliconANGLE.com.
 
This was Megan’s first time visiting theCUBE!


Ann Rosenberg
VP and Head of Global SAP University Alliances, SAP Next-Gen Labs, SAP

Ann Rosenberg

Interview Overview: SAP plays matchmaker, collaborates with higher education for the future of IT
Ann Rosenberg, VP and head of global SAP university alliances at SAP, stopped by theCUBE and talked with Lisa Martin (@Luccazara) about how SAP SE is at the forefront of linking today’s bright collegiate with the latest in technology with its SAP University Alliances program. SAP University Alliances is a global program, consisting of more than 3,100 member institutions in over 106 countries. It exposes students and faculty to the latest SAP technologies, enabling universities and vocational schools to integrate SAP software into their teaching. Read the full blog post with highlights from her interview at SiliconANGLE.com.
 
This was Ann’s first time visiting theCUBE!


Julie Yoo
CSO, Co-Founder, pymetrics

Julie Yoo

Interview Overview: Pymetrics uses neuroscience games and big data to get people hired
Julie Yoo, co-founder and chief scientific officer of pymetrics Inc., stopped by theCUBE and talked with Lisa Martin (@Luccazara) about how data science is changing how job seekers find the “perfect” job. The conversation started with a look at pymetrics itself. Yoo described its services as a platform that uses neuroscience and machine learning for the purposes of career science. The career science tools out there weren’t scientific or data-driven, she mentioned. This has led to a lot of bias in hiring. There are many biases, Yoo continued. Besides race and gender, there’s also appearance, presentation, what school someone went to and many others. “We measure things an employer would want measured,” Yoo stated. Then, pymetrics uses this objective data and data modeling to see how good a person would be in a given career. Read the full blog post with highlights from her interview at SiliconANGLE.com.
 
This was Julie’s first time visiting theCUBE!


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