get ready for our 26th Knowledgefeed featuring 2 talks of how data science & AI can advance innovative solutions to our city living and what can be done to protect personal information from illegitimate use.
Talk 1 (duration 45 – 60 mins):
Practical implementation of AI solutions for smart cities
AI is making dramatic inroads into city living to solve problems that were earlier thought to be impossible. How to predict the sentiment of people in the mall? How to prevent a crime using regular surveillance cameras? How to predict traffic? How to use satellite images to plan for city expansion?
How to predict the quality of my city services? How to auto-analyze social media feed for trigger-based city-safety actions? These are some of the problems that could be solved using Artificial Intelligence.
Cities and organizations need to understand the importance of quality of data and the right models to pick.
The talk covers the current state of the art in statistical machine learning, explores the paths to approach strategic AI in Cities, and discusses the ‘what’ and ‘how’ of the deep learning techniques in Smart Cities.
SK is the Chief Product Officer AI in Hexagon. He is also an AI and ML expert and a successful twice startup entrepreneur. He is a frequent speaker in conferences and an AI blogger.
Talk 2 (duration 45 min):
Privacy-Preserving Big Data Sharing
The digitalization of our world results in an ever-increasing amount of personal data being gathered. Processing and sharing these big data assets drives scientific progress, fosters innovation and enables smarter products and services. Yet the very same data, more often than not, contain sensitive personal information that is to be protected from illegitimate use. These conflicting targets, data-driven innovation vs. data protection, pose one of the biggest challenges of today’s digitalized world. AI-generated synthetic data offers a fundamentally new solution to this long-standing issue.
– Privacy vs. Innovation
– Under-Estimated Risk of Re-Identification
– AI-generated Synthetic Data
– Differential Privacy
– Customer Story from Finance
– QA & Discussions
Michael Platzer is CEO and Co-Founder of Mostly AI, a Vienna-based startup, that develops fundamentally new approaches towards safe & secure big data anonymization. He earned a master degree in Technical Mathematics at TU Wien, a doctoral degree in Marketing Science at WU Wien, and was recognized for his work on customer behavior prediction with the Global Research Award by the American Marketing Association.
As always: grab the opportunity to ask our lecturers questions, discuss your ideas and of course enjoy the company of some interesting folks!
Please do not hesitate to present your own projects, ideas or thoughts. We are more than gladly sharing the stage with you! Please refer to our blog-post / Discussion entry for further details:
Stay tuned and RSVP on our Meetup: