Data Science, ML és AI előadások
Magyar nyelvű előadások
Duronelly Péter
Data Scientist and Analyst Chapter Lead
Magyar Telekom
Chatbot in a box – generatív chatbot belső használatra nagyvállalati környezetben
ML GenAI Case Study
Gáspár Sándor
Head of AI Competence Center
Stratis
Okoskeresés vállalati dokumentumokban magyarul
ML NLP
Schin Lotár
AI Center of Excellence Lead
OTP Bank
Generatív AI alkalmazások
az OTP Bankban
az OTP Bankban
ML GenAI Case Study
Angol nyelvű előadások
Przemyslaw Biecek
Associate Professor
Warsaw University of Technology
Red-Teaming Models with XAI
ML Computer Vision Case Study
Dóra Gera
Data Engineer
Lynx Analytics
Boosting the reasoning capabilities of transformers with graph neural networks
ML Neutral Networks
Botond Egri
VP of AI and Data Science
Corsearch
Semantic parsing of legal documents using LLMs
ML
Gergely Várhelyi-Tóth
Founder & CTO
roboGaze
Formal verification of neural networks
ML Neutral Networks
Ian Ozsvald
Interim Chief Data Scientist
Mor Consulting Ltd
Llama.cpp for fun and (maybe) profit
ML Generative AI
Anna Grigoryan
AI Engineer
BlackRock
Advanced Techniques for Validating AI-Generated Summaries
ML NLP Generative AI
Szilvia Hodvogner
Data Scientist
HCL Technologies Starschema
From Training to Chatting: LLMs' Instant “Mastery” in ML Domains
ML LLM
Endre László
Senior Deep Learning Engineer
Continental
Trends in Perception for Automotive Applications
ML Computer Vision
Wojtek Kuberski
CTO
NannyML
The ML Monitoring Flow for Models Deployed to Production
ML
Marta Alexy
CEO
Birdwatcher
Application of Computer vision in poultry farming
ML Computer Vision
Zoltán Balogh
Data Scientist
Hearsay Systems
Building a privacy-aware question-answering system using RAG
ML RAG
Márk Nyerges
Data Scientist
BKK
Using Machine Learning for Urban Planning
ML Case Study
Timothy Spann
Principal Developer Advocate for Data in Motion
Cloudera
Adding Generative AI to Real-Time Streaming Pipelines
ML Generative AI
Aldan Creo
Technology Research Specialist
Accenture The Dock
The Power of Knowledge Graphs and AI: New possibilities for Developers and Data Scientists
ML Data Science
Kacper Łukawski
Developer Advocate
Qdrant
The challenges of making vector search billion-scale
ML Best Practices
JP Hwang
Educator
Weaviate
A Deep Dive into Vector Databases for AI: From Concept to Production
ML Generative AI
További előadók felkérés alatt.
Data Platform és Data Engineering előadások
A Data Platform és Data Engineering előadóink teljes listája a Budapest Data Fórum weboldalon érhető el.