Agata Chudzińska
CTO / AI Solutions Architect at theBlue.ai GmbH
Poznań, Poland
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Agata specializes in the practical application of AI to solve real-world challenges. Currently, she holds the roles of CTO and AI Solutions Architect at the Hamburg-based AI consulting company theBlue.ai. With over 8 years of professional experience in AI and data-related fields, Agata has developed AI-based solutions for a diverse range of clients, from emerging startups to global companies.
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Large Multimodal Models: Understanding the State of the Art in Computer Vision
How do computers interpret and understand visual data? This session explores the mechanisms behind computer vision AI models, as well as the advancements in Large Multimodal Models (LMMs) that integrate computer vision and language understanding. We'll dissect the mechanisms that enable machines to process and interpret images, discuss the current state-of-the-art models, and evaluate whether leveraging existing LMMs or training the own AI models is more effective for specific vision tasks. Through analysis of various use cases, attendees will gain a comprehensive understanding of the capabilities and limitations of current technologies in the area of computer vision.
How to (Gently) Tell the Business Their AI Idea Won't Work - and What to Do Instead
AI is everywhere - and so are ambitious project ideas driven by LinkedIn headlines and hype. As technical leaders, we’re often asked to implement these concepts, even when they're vague, unrealistic, or better solved with simpler solutions. But how do you push back without becoming the “AI dream killer”?
In this session, we'll explore how to evaluate AI project ideas with clarity and empathy. You'll learn how to spot red flags early, communicate concerns constructively, and steer conversations toward more feasible, high-impact outcomes. We'll also look at lightweight frameworks for idea assessment, share real-world stories, and offer practical techniques for building long-term trust between tech teams and business stakeholders.
Whether you're in a product team, consulting role, or leading innovation efforts, you’ll walk away with tools to help your organization avoid AI missteps - and focus on what truly drives value.
From AI Hype to Practical Insights: Essential Lessons for Software Developers
Dive into the world of AI with John, a web developer at a German startup, who ambitiously integrated AI into his project and encountered unforeseen obstacles. Through his story, we’ll extract crucial lessons on implementing AI projects and how they may differ from standard software development projects. This talk will provide developers, product owners and project managers with actionable insights and strategies to build AI-based solutions effectively, transforming challenges into opportunities for innovation and growth.
Building AI That Learns and Adapts: A Case Study in MRI Diagnostics
Explore how AI and continual learning can revolutionize MRI diagnostics, using our real-world case study in detecting Focal Cortical Dysplasias (FCD)—a crucial factor in epilepsy treatment. In this session, we’ll dive into how continual learning techniques, inspired by human adaptability, help AI models improve diagnostic accuracy, minimize false positives, and handle evolving data in medical settings. We’ll discuss challenges like catastrophic forgetting, maintaining model performance in dynamic environments, and practical strategies that developers can apply to other domains. Gain hands-on insights into building resilient AI systems that evolve and adapt to new data, ensuring long-term reliability in critical applications.
Small models, big impact - and no chatbot required
Not every app needs a multi-billion-parameter AI model. In fact, not every company needs a chatbot. But when was the last time you saw an AI talk that wasn’t about GPT?
This session is a reality check and a practical guide for software developers who want to build AI-powered features that address real business problems without relying on huge, closed models behind an API. We’ll explore how small, specialized AI models can outperform their giant cousins in real-world use cases, especially when speed, privacy, cost, or edge deployment matter.
I'll share lessons learned from years of deploying AI in production and walk through examples where lightweight models delivered powerful results. You'll also learn about open-source tooling, model compression tricks and how to think practically about AI integration. If you want to ship something smart without selling your soul to the big AI model providers, this talk is for you.
NDC Oslo 2025 Sessionize Event
NDC Melbourne 2025 Sessionize Event
Swetugg Stockholm 2025 Sessionize Event
Codemotion Milan 2024 Sessionize Event
DevConf 2024 Sessionize Event
Data Science Summit Machine Learning Edition 2024
Special edition of the most important Data Science event in Poland dedicated to Machine Learning
Session Title: Focal Cortical Displasias and how to find them (on MRIs))
Webinale Berlin 2024
The holistic web conference
Webinale is the conference for product owners, web designers, and frontend coders. It combines user experience with code and offers a variety of topics that are important for digital professionals nowadays.
Session: Lessons Learned from Implementing Generative AI Solutions
DevConf 2023 Sessionize Event
Data Science Summit Machine Learning Edition 2023
Special edition of the most important Data Science event in Poland dedicated to Machine Learning
Session Title: From Sandbox to Real World: Challenges of Implementing Generative AI Solutions
Re-Work: AI Assistant Summit London 2019
Session title: Answering E-Mails in No Time – Short Story of How to Use NLP in Modern Enterprises
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