Pie & AI Vienna – Why You Should Start Using AI-generated Fake Data

Oct 12, 2020 7:00 PM — 9:00 PM

Welcome to our fourth online Pie & AI event!

Pie & AI is a series of deeplearning.ai meetups independently hosted by community groups. This event is hosted by the Vienna Data Science Group.

There are a few steps to complete registration, please carefully follow the next steps:

(1) In Addition to RSVPing here, make sure you also register for the Webinar through this link: https://event.webinarjam.com/channel/4th-PieAI-Vienna Access to the meetup stream will be provided via email upon WebinarJam registration.

(2) Please complete your registration on the deeplearning.ai signup form here: https://forms.gle/gowTrXDxE2PUtjkZ6

After the event, we will provide a limited course promo code for attendees who sign up through the form and complete a post-event survey sent by deeplearning.ai after the event. The code is for 50% off first-month subscription to any of deeplearning.ai’s courses on Coursera.


Why You Should Start Using AI-generated Fake Data

Up to 75% of data stored in enterprises is estimated to sit unused. Nonetheless, synthetic data generation is one of the fastest growing fields in AI. Why would anyone want to create more data if they aren’t using what they already have? In this talk, we will explore how synthetic data generation can help leverage more of today’s available data. Privacy concerns are one of the most common factors limiting data usage and one for which synthetic data provide a unique solution. In addition, synthetic data can also help counteract imbalanced and biased data. Using practical examples, we will showcase what can already be achieved with today’s available methods. Finally, we will explore tools available to explore the field and gain insights on the potential and challenges involved.


Klaudius Kalcher is Co-Founder and Chief Data Scientist at MOSTLY AI, a software technology company that provides synthetic data solutions to enterprises in multiple industries. His focus is on measuring and improving the utility and privacy of synthetic data, as well as exploring how synthetic data can improve the experience of working with data.



17:00 – Introduction and Greeting video by Andrew Ng

17:15 – Main Talk

17:45 – Q&A