ML Speakers
English Talks
Szilárd Németh
Continental Autonomous Mobility Hungary
Safety Analysis of AI in Autonomous Driving: A Data-Driven Approach
ai safetycomputer vision
case studyin-person
Judit Kisistok
From Gut Feelings to Data-Driven Decisions: Predicting Fashion’s Next Big Thing
computer visionNLP
in-person
Josh Lewittes
Build the Best AI For You: Mobilizing First-Party Data with Fine-Tuning
genai
technical talkremote
László Sragner
Code Smells in Machine Learning: What Can We Do About Them?
mlopsbest practicesin-person
Julien Simon
Implementing High-Quality and Cost-Efficient AI Applications with Small Language Models
genai
small language modelsin-person
Dennis Nerush
Scaling AI @ Elementor: Fault-Tolerant GenAI Solutions for Millions
genai
case studyremote
Marin Niehues
AI Beyond the Code: Master Your Organisational AI Implementation
ai strategy
case studyin-person
Joakim Nilsson
Knowledge Graphs Improve GenAI — Validating Results Builds Trust for Organizations
genai
remote
Mór Kapronczay
Multi-Modal Information Retrieval with Lightning Fast Nearest Neighbour Search
genainlpin-person
Gergely Daroczi
Resource Monitoring and Cloud Optimization for Data Science Tasks with Metaflow
mlops
technical talkremote
The conference also has a Hungarian track. The Hungarian talks can be viewed here.