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Hallo liebe Digital Bancassurance Community, Wir laden Euch herzlich ein zu MeetUp #9! Endlich ist es wieder soweit, unser nächstes Meetup steht an - diesmal in Berlin. Wir diskutieren mit Experten aus der Banken-, Versicherer- und Enabler-Welt die aktuellen Entwicklungen und Herausforderungen im Bereich Bancassurance. Wann und wo? 🗓️ Dienstag, 06.05.2025, 18:00 Uhr 📍 My.B, Heidestr. 8, 10557 Berlin ✉️ Anmeldung bitte per E-Mail an [email protected] * Die ersten Speaker und Beiträge stehen übrigens fest: 👉 „Ein Berliner Startup wird 112 Jahre!“
👉 „Bancassurance – Global Warming oder doch Cooling-off?“
👉 „Next Level Digital Bancassurance – der datengestützte kanalübergreifende Blick auf den Markt hebt Banken und Versicherer auf ein neues Level“
Wir freuen uns auf spannende Diskussionen und den persönlichen Austausch mit Euch! Euer Sebastian *Alle E-Mail-Adressen werden selbstverständlich DSGVO-konform ausschließlich im Rahmen des Meetups verwendet. |
Aktuelle Entwicklungen im Bereich Bancassurance mit wertvollen Experten-Insights
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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:
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PyData Rhein-Main I AI Agent Hacks & GTC 2025 Insights
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OpenUK Apprentice Meetup #2
2024-10-09 · 17:00
Mark your calendars for Wednesday 9th October for our 2nd OpenUK Apprentice meetup hosted by Thomas Meadows and Nelson Batsford. SAVE THE DATE! 6:00 pm: Arrive, grab a bev, a slice and a chat. Scope out our swag table (bring pieces to contribute or trade!) 7:00 pm: Alexander Scammon, G-Research 8:30 pm: Cleanup and see-ya-next-time. Please remember to bring your I.D. if you are attending in person, as it is required to access the venue. Note the venue does not permit e-scooters or bicycles within the building. Thank you to our sponsors Red Badger for providing this great space and yummy pizza! By attending this or any OpenUK event, you are adhering to our Code of Respect and OpenUK's Competition Policy. Please read ahead. If you would like to hear more about OpenUK's other events, you can join our Newsletter. After attending, look out for an email with an invite to our burgeoning Slack community as a way to keep in touch and support each other between activities. |
OpenUK Apprentice Meetup #2
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[Online] Customer Lifetime Value Modeling in Marine Industry
2024-05-08 · 16:00
🎙️ Speaker: Alexander Bor\| ⏰ Time: 16:00 UTC / 9:00 am PT / 12:00 pm ET / 6:00 pm Berlin Understanding one’s customers is crucial and brings numerous benefits to any business, including increased customer satisfaction and retention as well as efficient sales and marketing strategies. However, such understanding is not always available, and an alternative approach must be sought. One such approach is Customer Lifetime Value (CLV) modeling which provides insight into customer behavior and allows to optimization of related business processes such as sales and marketing. This talk discusses CLV modeling and its application within the marine industry sector. 📜 Outline of Talk / Agenda:
💼 About the speaker:
🔗 Connect with Alexander : 👉 LinkedIn: https://www.linkedin.com/in/alexbor1/
🔗 Connect with Colt: 👉 LinkedIn: https://www.linkedin.com/in/coltallen-datascientist/ 💼 About the Host:
🔗 Connect with Thomas: 👉 GitHub: https://github.com/twiecki 👉 Twitter: https://twitter.com/twiecki 👉 Website: https://twiecki.io/ 📖 Code of Conduct: Please note that participants are expected to abide by PyMC's Code of Conduct. 🔗 Connecting with PyMC Labs: 🌐 Website: https://www.pymc-labs.com/ 👥 LinkedIn: https://www.linkedin.com/company/pymc-labs/ 🐦 Twitter: https://twitter.com/pymc_labs 🎥 YouTube: https://www.youtube.com/c/PyMCLabs 🤝 Meetup: https://www.meetup.com/pymc-labs-online-meetup/ |
[Online] Customer Lifetime Value Modeling in Marine Industry
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With the rapid rise of graph databases, organizations are now implementing advanced analytics and machine learning solutions to help drive business outcomes. This practical guide shows data scientists, data engineers, architects, and business analysts how to get started with a graph database using TigerGraph, one of the leading graph database models available. You'll explore a three-stage approach to deriving value from connected data: connect, analyze, and learn. Victor Lee, Phuc Kien Nguyen, and Alexander Thomas present real use cases covering several contemporary business needs. By diving into hands-on exercises using TigerGraph Cloud, you'll quickly become proficient at designing and managing advanced analytics and machine learning solutions for your organization. Use graph thinking to connect, analyze, and learn from data for advanced analytics and machine learning Learn how graph analytics and machine learning can deliver key business insights and outcomes Use five core categories of graph algorithms to drive advanced analytics and machine learning Deliver a real-time 360-degree view of core business entities, including customer, product, service, supplier, and citizen Discover insights from connected data through machine learning and advanced analytics |
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Arkady Shemyakin
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Alexander Kniazev
– author
Presents an introduction to Bayesian statistics, presents an emphasis on Bayesian methods (prior and posterior), Bayes estimation, prediction, MCMC,Bayesian regression, and Bayesian analysis of statistical modelsof dependence, and features a focus on copulas for risk management Introduction to Bayesian Estimation and Copula Models of Dependence emphasizes the applications of Bayesian analysis to copula modeling and equips readers with the tools needed to implement the procedures of Bayesian estimation in copula models of dependence. This book is structured in two parts: the first four chapters serve as a general introduction to Bayesian statistics with a clear emphasis on parametric estimation and the following four chapters stress statistical models of dependence with a focus of copulas. A review of the main concepts is discussed along with the basics of Bayesian statistics including prior information and experimental data, prior and posterior distributions, with an emphasis on Bayesian parametric estimation. The basic mathematical background of both Markov chains and Monte Carlo integration and simulation is also provided. The authors discuss statistical models of dependence with a focus on copulas and present a brief survey of pre-copula dependence models. The main definitions and notations of copula models are summarized followed by discussions of real-world cases that address particular risk management problems. In addition, this book includes: • Practical examples of copulas in use including within the Basel Accord II documents that regulate the world banking system as well as examples of Bayesian methods within current FDA recommendations • Step-by-step procedures of multivariate data analysis and copula modeling, allowing readers to gain insight for their own applied research and studies • Separate reference lists within each chapter and end-of-the-chapter exercises within Chapters 2 through 8 • A companion website containing appendices: data files and demo files in Microsoft® Office Excel®, basic code in R, and selected exercise solutions Introduction to Bayesian Estimation and Copula Models of Dependence is a reference and resource for statisticians who need to learn formal Bayesian analysis as well as professionals within analytical and risk management departments of banks and insurance companies who are involved in quantitative analysis and forecasting. This book can also be used as a textbook for upper-undergraduate and graduate-level courses in Bayesian statistics and analysis. ARKADY SHEMYAKIN, PhD, is Professor in the Department of Mathematics and Director of the Statistics Program at the University of St. Thomas. A member of the American Statistical Association and the International Society for Bayesian Analysis, Dr. Shemyakin's research interests include informationtheory, Bayesian methods of parametric estimation, and copula models in actuarial mathematics, finance, and engineering. ALEXANDER KNIAZEV, PhD, is Associate Professor and Head of the Department of Mathematics at Astrakhan State University in Russia. Dr. Kniazev's research interests include representation theory of Lie algebras and finite groups, mathematical statistics, econometrics, and financial mathematics. |
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