talk-data.com
Activities & events
| Title & Speakers | Event |
|---|---|
|
Stop Overfeeding Your AI: A Practical Guide to Context Optimization
2025-08-20 · 18:30
Archana Vaidheeswaran
– Developer Advocate
@ Aleph Alpha
Abstract: Ever notice how your AI interactions start strong but quickly deteriorate with complexity? We've all been there – carefully crafting detailed prompts for AI models, only to receive increasingly mediocre responses as our inputs grow longer. The conventional wisdom says more context equals better results, but real-world evidence suggests otherwise. In this session, I'll share discoveries from analyzing thousands of AI interactions across various domains that reveal a surprising truth: the relationship between prompt length and response quality isn't linear – it's parabolic. There's a sweet spot, and most of us are operating well beyond it. |
|
|
Mastering real-time anomaly detection
2025-08-20 · 16:00
Olena Kutsenko
– Staff Developer Advocate
@ Confluent
Abstract: Detecting problems as they happen is essential in today’s fast-moving, data-driven world. In this talk, you’ll learn how to build a flexible, real-time anomaly detection pipeline using Apache Kafka and Apache Flink, backed by statistical and machine learning models. We’ll start by demystifying what anomaly really means - exploring the different types (point, contextual, and collective anomalies) and the difference between unintentional issues and intentional outliers like fraud or abuse. Then, we’ll look at how anomaly detection is solved in practice: from classical statistical models like ARIMA to deep learning models like LSTM. You’ll learn how ARIMA breaks time series into AutoRegressive, Integrated, and Moving Average components, no math degree required (just a Python library). We’ll also uncover why forgetting is a feature, not a bug, when it comes to LSTMs, and how these models learn to detect complex patterns over time. Throughout, we’ll show how Kafka handles high-throughput streaming data and how Flink enables low-latency, stateful processing to catch issues as they emerge. You’ll leave knowing not just how these systems work, but when to use each type of model depending on your data and goals. Whether you're monitoring system health, tracking IoT devices, or looking for fraud in transactions, this talk will give you the foundations and tools to detect the unexpected - before it becomes a problem. |
|
|
PyData Rhein-Main I AI Agent Hacks & GTC 2025 Insights
2025-03-27 · 16:30
Topic: AI & Data Science in practice Venue: In person in Darmstadt and live on PyData.TV on YouTube Agenda 5:30 pm Doors open 6:00 pm Welcome 6:15 pm How to Hack an Agent – or Not · Thomas Fraunholz 6:45 pm Networking with snacks and beverages 7:45 pm AI & Data Strategy after NVIDIA GTC 2025 · Alexander C. S. Hendorf 8:15 pm Lightning Talks 8:30 pm Networking with snacks and beverages 9:00 pm End 🍿 How to join remotely Talk#1 - Thomas: https://youtube.com/live/pTSKL6e66mE Talk#2 - Alexander: https://youtube.com/live/ooyT412QCSI ⚡️ Lightning Talks Feel free to submit a proposal How to sign up for on site It's important for us to make this meet up happen in a responsible way. We have limited seats available only. No limits to sign up remotely! This event will be in English. ---- Talk #1 How to Hack an Agent – or Not Thomas Fraunholz Senior Researcher AI @ Smart Labs AI Large language models (LLMs) are not as secure as they seem. Beyond their tendency to “hallucinate,” they can be manipulated using jailbreaks and adversarial prompts, bypassing safeguards designed to keep them in check. But the real challenge arises when LLMs are connected to agents with real-world capabilities—like sending emails. This talk explores the security risks of AI agents and the ongoing research into making them more resilient. Using the "Adaptive Prompt Injection: LLMail Inject" challenge from the IEEE Conference on Secure and Trustworthy Machine Learning as a case study, we’ll examine how Microsoft’s Phi3 and OpenAI’s GPT-4o-mini handle adversarial attacks. We’ll break down security techniques like LLM judges, task drift detection, and prompt shields—critical concepts as the EU AI Act's security mandates take effect in August 2025. Attendees will gain insights into the strengths and weaknesses of current AI security mechanisms and learn practical strategies for assessing the safety of AI agents in production environments. About the Speaker Thomas is an MLOps and NLP expert with a background in applied mathematics and embedded programming. He has led two publicly funded AI research programs with the German Aerospace Center and is currently focused on AI-driven cybersecurity at Smart Labs AI GmbH. In his spare time, he’s developing a low-budget drone system for detecting bark beetle infestations, blending his passion for AI and embedded systems. Talk #2 AI & Data Strategy After NVIDIA GTC 2025: What You Need to Know Alexander C. S. Hendorf AI & Data Strategy and Implementation @ opotoc GmbH NVIDIA GTC is one of the most influential conferences in AI, showcasing advancements in accelerated computing, robotics, healthcare, and finance. In this talk, Alexander Hendorf will share his key takeaways from the conference, focusing on what’s most relevant for the community. From cutting-edge AI hardware and model optimization to real-world applications in robotics, healthcare, and financial modeling, we’ll explore how these technologies impact data workflows. Expect insights on practical AI adoption, the latest breakthroughs in GPU acceleration, and what’s actually useful (vs. just hype) for data scientists and engineers. About the Speaker Alexander is a data intelligence and AI expert with over 20 years of experience in digitalization and data-driven decision-making. As an independent consultant, he's specialized in AI & data strategy and implementation. A frequent speaker and chair at international conferences like PyCon DE, PyData Berlin, and EuroPython, he is also a Python Software Foundation Fellow and EuroPython Fellow. He serves on the board of the Python Software Verband and, since 2024, has also been leading Pioneers Hub, a non-profit dedicated to supporting tech communities. ---- Acknowledgements Also a big thank you to our partners:
Contact If you have any questions or suggestions, please feel free to contact us via:
|
PyData Rhein-Main I AI Agent Hacks & GTC 2025 Insights
|