On November 20, 2025 at 11:00 a.m. the 34rd lecture of the Living Lab lecture series will take place. In this lecture, Apurv Deepak Kulkarni will talk about Demystifying Data Stream Processing.
In today’s digital world, data is being generated at an unprecedented rate, often in the form of continuous streams. These data streams are ubiquitous, arising from various sources such as social media, sensor networks and more. But what happens to this data once it’s generated? This lecture explores the concept of these data streams and discusses the different aspects of their processing, including current techniques and their challenges. Additionally, self-adaptive mechanisms are introduced that enable systems to automatically adjust to changing data conditions, improving efficiency, scalability, and accuracy. These mechanisms play a crucial role in unlocking the full potential of data stream processing in modern applications.
The Living Lab Lecture Series gives you an in-depth insight into the many research topics of ScaDS.AI Dresden/Leipzig. From Natural Language Processing to Ethics and Moral Code in AI, a great variety of topics are discussed. You can join our lectures every first thursday of the month or watch them on YouTube afterwards. If you have ideas for topics to discuss in the future, please let our Living Lab team know. We suggest for you to regularly check our event calendar, to never miss out on upcoming lectures or other interesting events organized by or in cooperation with our center.
You can reach the permanent room for all lectures here: https://tud.link/i8zf
The room will be accessible 5 minutes before the start of the lecture.
The participation is free for everyone.
No! Not at all. One of our goals in the Living Lab lecture series is to familiarize everyone with these topics.
You just need an up-to-date browser such as Firefox, Google Chrome or Chromium. We would also recommend using headphones for better audio quality.
Not unless you would like to! In general, there is no need to have a camera or microphone to participate in the lecture.
Alongside joining the discussion with your camera and microphone, there is also the possibility to submit your question and comments as a written comment in the Chat section.
