MLOps & leveraging AI for data collection and validation

Title: From Model to Impact: How MLOps Powers Scalable Machine Learning in Our Team

Abstract: As organizations increasingly adopt machine learning to drive innovation, the challenges of moving models from research to production and scaling them effectively become critical. In this talk, we’ll explore how our data science team embraces MLOps principles to address these challenges.
We’ll share our journey, showcasing how we streamline the productization of ML models, automate workflows, and ensure reliability at scale. Key highlights include strategies for collaborative model development, robust deployment pipelines, monitoring for model performance drift, and handling real-world scaling issues.

Presenter: Daniel Berecz is a Data Science Engineer at Ekata, a Mastercard company with extensive experience in designing tools and systems that enhance the productivity of data science teams. Over the past five years, Daniel has focused on developing innovative solutions that transform the daily workflows of data scientists into a seamless and enjoyable experience.

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Title: Needle in the haystack

Abstract: Alex and Viki will share how they leverage AI for data collection and validation, managing vast data sets from thousands of brokers with cutting-edge self-consistency techniques. Explore the potential for scalability in BrokerChooser’s data extraction projects, powered by AI-driven search engine APIs. Learn about innovative methods to validate data for accuracy and reliability

Learn more about BrokerChooser here:[ https://brokerchooser.com/](https://brokerchooser.com/)

Presenters:

Alex Nasli
Alex is leading the Data Chapter at BrokerChooser as a seasoned LLM engineer. With a background in engineering and a passion for innovation, Alex specializes in crafting applications powered by large language models (LLMs) to solve real-world problems. From data extraction and translation to building tools that assist users, Alex is at the forefront of making AI both practical and engaging.
Beyond his professional expertise, he finds joy in quirky AI experiments, like creating videos from a single picture, proving that even serious tech can have a sense of humor.

Viktória Gerner
Head of Growth and Squad Lead at BrokerChooser. With a background in economics from Corvinus University and extensive experience at The Boston Consulting Group and BrokerChooser, Viki brings a wealth of expertise in leveraging LLMs for data extraction, translation, and user assistance.

The agenda:
17:45 gates open
17:45-18:15 Warmup and chit-chat
18:15-19:30 Talks
19:30 - 21:00 Drinks, snacks, networking

By attending this event you agree to be photographed. Let us know if you would not like to appear on these pictures. We may use the pictures in social media.