Women in Data Science Series | Episode 1

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Fostering female leaders in data science!

Women in Data Science (WiDS) Worldwide aims to inspire and educate data scientists worldwide, regardless of gender, and to support women in the field. Since 2016, SAP has been a proud collaborator and sponsor of WiDS as we seek to empower women to pursue careers in STEM. The NYC regional session, on the sideline of the global WiDS event, will explore the lack of females in data science careers and how we can empower female data science leaders.

Speakers:

• Susanne Beckers, Head of Infused Intelligence, SAP
• Minerva Tantoco, Chief Technology Officer, DriveWealth
• Zehra Syeda-Sarwat, World Wide Leader AWS Transformation Guide, AWS
• Cathryn Posey [moderator], Senior Technology Director, Machine Learning, Capital One

VIEW RECORDING HERE!

Women in Data Science Series | Episode 2

RECORDING COMING SOON

Women in Data Science (WiDS) Worldwide aims to inspire and educate data scientists worldwide, regardless of gender, and to support women in the field. Since 2016, SAP has been a proud partner and sponsor of WiDS as we seek to empower women to pursue careers in STEM.

Agenda & Speakers

Opening (17h35 – 17h45 CET)

• Cristina Palmaka, President SAP Latin America & Caribbean

Talk – What is Data Science (17h45 – 17h55 CET)

• Raquel Seville, CEO - Caribbean, BI Brainz, Published Author, International Speaker, Data Nerd @QuelzSeville

SAP Expert Panel – Data Science from Theory to Implementation (17h55 – 18h35 CET)

• Dr. Fei-Yu Xu, Global Head of Artificial Intelligence at SAP (Product & Innovation)
• Dr. Sarah Detzler, Competence Lead for Data Science & Machine Learning at SAP (Technical Presales)
• Diana Rincón, Data Architect at SAP
• Hannah Sperling: Moderator

Pitch round – Finding Your Path With Data Science (18h35 – 19h10 CET)

• Alicia Mateo, Chapter Leader Advanced Analytics Market Iberia at Endesa
• Ana Carolina da Hora, Computer Scientist, Researcher, TEDX Speaker, Columnist Brazil
• Etna Rojas, Professor at Tec Monterrey, Engaged in a social project to develop an algorithm to detect early cases that need intubation due to COVID-19
• Jadga Huegle, From Media Computation to Data Science with Snap!
• Lisseth Cordero, Cofounder of Ecolana
• Tatiana Peralta Quirós, Co-Founder Kinto Costa Rica, World Bank Technology & Transport Specialist, Co-founded first subscription-based multimodal Mobility as a Service (MaaS) platform in Latin America

How to solve real life problems using SAP? (19h10 – 19h20 CET)

• Diana Rincón, SAP Data Architect
• Fernanda Akazawa, Machine Learning and Analytics Consultant at SAP

Closing - Inspirational Closing Message (19h20 – 19h30 CET)

• Graciela Rivera Picado, Data Science Enthusiast, Co-founder of Women in Data Science Costa Rica, Microsoft Corporation
• Sueli Nascimento, Product Manager at SAP, Diversity & Inclusion Leader

RECORDING COMING SOON

SPANISH TRANSLATION AVAILABLE

WiDS Iberoamerica 2021 will provide a live interpretation in Spanish. In order to access the live translation, attendees must log into the webinar via the Zoom desktop or mobile applications (version 5.2.1 or higher), and activate it once the event starts.

Live Closed Captioning (CC) in English will also be available.

REGISTER & FIND MORE DETAILS HERE

The fourth Women in Data Science Silicon Valley @ SAP Conference focuses on the future of Data Science under the theme "Data Science at the Cross Roads". This conference aims to bring together Data Scientists, Data Engineers, Architects, Designers, Project Managers, and Students to join the conversation on how we can leverage Data Science to create a better world. After a year like 2020, where do we go from here?

The virtual conference invites participants to dive deeper into the following topics: Model Development & Fundamentals, Production, Society, Ethics, and COVID-19.

REGISTER & FIND MORE DETAILS HERE

REGISTER HERE

Take a minute and think about data science... now join us to reimagine data science and explore all the depth and breadth this field has to offer.

When thinking about data science, many people picture computer scientists or statisticians. However, companies and government agencies express their interest in employing social scientists with strong quantitative skills to execute on data science projects. Social scientists place data into the context necessary to help discover meaningful data-based insights from business transactions, telecommunication networks, websites, and more, including flaws in the data and potential biases.

REGISTER HERE