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An evening awards Gala dedicated to providing a voice and celebrating the progression of women in AI & data.

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PREVIOUS SPEAKERS INCLUDE

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NEW THIS YEAR

  1. Keynote talks with women progressing AI

  2. Discussions on diversity & inclusion within the sector

  3. Q&A with AI experts to ask questions specific to your work

  4. Facilitated networking opportunities to make new connections

  5. Black-tie evening celebratory dinner and drinks reception 
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Women in AI Data Gala

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Topics we cover

Deep Learning Algorithms
Neural Networks
NLP
Machine Learning
Robotics
Women in Tech
Finance
Autonomous Vehicles

WHY ATTEND

Our events bring together the latest technology advancements as well as practical examples to apply AI to solve challenges in business and society. Our unique mix of academia and industry enables you to meet with AI pioneers at the forefront of research, as well as exploring real-world case studies to discover the business value of AI.

Top minds in Artificial Intelligence

Over the course of the evening, hear from leading female experts in machine learning & AI and discuss the impact of this rapidly advancing technology. Attendees will establish new connections and network with peers in sectors including finance, retail, manufacturing, transport, healthcare & security.

Interactive Networking Discussions

Enjoy meeting peers during the networking session and look forward to hearing from our speakers as they share further insights with active Q&A opportunities

Women in Tech

As a female-led company, RE•WORK is a strong advocate for supporting female entrepreneurs and women working towards advancing technology and science. The event is open to anyone keen to support advancing women in the industry! This event is closed to recruiters.

Previous Attendees

Lloyds Bank
Amazon
Sky
E.ON
Farfetch
Monzo-4
De Beers Group
Alm Brand
JP Morgan

Summary

Jeff Clune, Team Lead at OpenAI

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Presentation

Dawn Song, Professor of Computer Science at UC Berkeley

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Interview

Shalini Ghosh, Director of AI Research at Samsung Research

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ANML- Learning to Continually Learn

Secure Deep Reinforcement Learning

Interview on AI Ethics & Bias with ML Expert

WHAT PEOPLE SAY ABOUT RE•WORK

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Event Organiser /

Katie Pollitt

Head of Events

Our events are all carefully created from scratch. The whole process from research to post-production is crafted by our team, so we are always available to assist with any queries! We look forward to meeting you at the event!

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Women in AI Data Gala

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