ABOUT


UNEXPECTED DATA

Unexpected Data is the first Data and Data Science centered Podcasting Service & Events Serie to help individuals and organizations to embed AI ethics by design in their digital journey

Founded and delivered by Yudan Lin, the podcasts and services have been devoted to

starting taboo-free discussions and give more awareness about Data and Data Science in our daily life.

By creating unexpected and inspirational content, Unexpected Data / Yudan Lin supports you in understanding what it takes to live in the world of Data Science, Machine Learning and Artificial Intelligence. Taboos are especially investigated: from sex, justice to the digital fight for our attention that leaves us out of the real life and many more.

Our services are:

Podcast Production & Partnership

Event Production & Partnership

We are all responsible for the privacy and the ethical development of this green field

By sharing career journeys, challenges had, lessons learnt, Unexpected Data / Yudan Lin highlights people and initiatives who support the common better good. Diversity and Inclusion are rooted in the identity of our podcasts and services. Each story and session encourage and inspire more women, LGBTIQA+, people of color, disabled talents to join STEM (Science, Technology, Engineering and Mathematics).

We are all responsible for the privacy and the ethical development of this green field.

So be curious and challenge your environment.


THE PEOPLE

All in one

Yudan is an experienced Innovation & Data Science Lead. She is a citizen of the world, living in Vienna – Austria and having roots in Paris – France and Shanghai – China.


Her engagement in the field of Data Science is to always work for a better social good without compromising on the comfort that the technology can bring us.


She is passionate about learning new culture and meeting new people.

The Unexpected Data community is composed of 800+ data visionaries

Yudan Lin

Founder – Keynote Speaker

Unexpected Data Community

Data & Data Science Visionaries


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