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"There cannot be equity in society without equity in data collection, curation, and decisions."

Women in Big Data Founders

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Afterwork event at Globe Business College Munich

Women in Big Data Munich Chapter hosted an afterwork event at Globe Business College Munich.  Located in Munich city center, the college offers a relationship- based model education. After a brief introduction from Astrid Neumann and Nahia Orduña about Women in Big Data, Dr. Susan Walsh, Founder and Director of Globe Business College, presented her vision on developing and
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Women in Big Data – Paris Chapter Highlights

Paris is the first WiBD EMEA chapter and the “headquarters” site of Women in Big Data Europe. Here is a summary of the activities we have hosted in the last few months, and some highlights for future plans. March, 2019:  WiBD held a cocktail party at Big Data Paris, an annual event that hosts Big
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Data Diversity Day in International Women Week at Vodafone

As part of the International Women Week, Vodafone celebrated the 6th of March a Data Diversity day, where the London Chapter of Women in Big Data was invited to Vodafone’s London Paddington offices for an internal event in the morning and an after work external event in the evening. The morning event was joined by around
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Leading data and tech driven businesses

Event: Breakfast panel discussion hosted in collaboration with MTN Business. Date: 18th March 2019 Location: South Africa The panel breakfast discussion was hosted in collaboration with the business division of MTN, an emerging markets mobile telecommunications operator at the forefront of technological and digital changes. Its operations span across 22 countries in Africa and the Middle
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Women in Big Data (WiBD) at the WiDS Silicon Valley@SAP 2019

The Event Theme: Data Science Empowering Business This event was one of more than 150 ambassador-driven regional events under the umbrella of the Women in Data Science (WiDS) program. SAP was a sponsor and WiBD was a community partner. The agenda included panels, keynotes and breakout sessions.  WiBD was happy to be able to contribute. Tina Tang, Sr.
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2019 Women in Data Science Conference, Stanford University

Women in Data Science (WiDS) at Stanford is an annual technical conference designed to educate, inspire, and empower data scientists around the world. Everyone is encouraged to participate. It’s a global conference with 150+ regional events worldwide, and it provides an opportunity to hear about the latest data science-related research and applications across a broad
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Alberta, Canada: The Newest WiBD Chapter

I’m Diana Shaw, and I am the Lead for WiBD, Alberta Chapter. On 25th October, 2018, we formally launched the Chapter, at the Data Management Conference Canada. This was the ideal event to officially launch the Chapter since the keynote presenters included Radhika Rangarajan and Azadeh Yazdan, who added their voices to help promote the
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Toronto Chapter Meetup: Data Trends in 2019

On January 16th, our Toronto chapter launched its first meetup of the year, gathering over 100 members to join the panel discussion on Data Trends of 2019. We were thrilled to have Nicole Brouillard (Chief Information Officer at Aviva), Katrin Shechtman (Head of Architecture at Thomson Reuters), Jan Kestle (President of Environics Analytics) and Janice
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Women in Big Data So Cal Campus-Driven Model: Tips for Starting Your Own Chapter!

By Ilyana “Lily” Salem The Women in Big Data Southern California chapter was begun in cooperation with the Marshall Business School at the University of Southern California in Los Angeles. As the first campus-driven WiBD chapter, we’ve learned a lot about how to get a group up and running, and we’d like to share some information
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Women in Big Data Could Offer Valuable Cryptocurrency Services

By Sally Keys (Sally Writes – sally@diamondmail.net) Being a woman in the technology industry, including the big data sector, can be challenging. Technology and IT remain predominantly male career paths, which can pose obstacles in both networking and career advancement. However, women working in big data have the opportunity to use their position creatively. The
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