Dive into Data x GenAI Cracow #19

Together with GenAI Cracow Community and CEE AI HUB, we invite you to join us on September 29 at 5:30 p.m. for a Dive into Data meetup, full of inspiration and practical examples of AI applications in data.

Krzysztof Płatek, Lead Big Data Software Engineer, will show you how Gemini can speed up your work with BigQuery—from SQL queries to streaming—and how it can take tedious tasks off your shoulders. Plus, there will be a live demo and a few surprises!

We will also check whether AI agents can turn video monitoring into an intelligent real-time management system. Is it really possible? You will find out during the lecture by Dmytro Shvetsov, Data Scientist.

This is a great opportunity to meet people who develop Generative AI and data engineering on a daily basis.

• Krakow | September 29 | 5:30 p.m.
• Meeting in English

​Can BigQuery use Gemini?

How does Gemini support data engineering tasks in BigQuery, and what other AI use cases can we unlock? We’ll show how you can use LLM functions in batch SQL as well as continuous streaming queries and show how Gemini can take the pain out of tedious jobs. Expect practical examples, a few surprises, and a live demo where we'll see Gemini in action.

Building systems for the Big Brother

Traditional CV systems often struggle with scalability, domain adaptation, and producing interpretable results. Vision-Language Models promise more general solutions, but fall short in reliability and performance when deployed in production. By equipping AI agents with vision, we explore whether agentic systems - combining reasoning, memory, and tool orchestration - can unlock the next generation of Real Time Intelligent Video Monitoring. So, can marrying agentic AI with computer vision really work?

​Speakers

• ​Krzysztof Płatek

Lead Data Engineer at SoftServe with over 10 years of experience in data engineering. Skilled in query optimization, storage efficiency, and cost reduction. Focused on collaboration, knowledge sharing, and driving automation of repetitive tasks, with a growing interest in applying Generative AI to data workflows.

• Dmytro Shvetsov

Computer Vision Tech Lead with nearly 6 years of experience in developing and deploying AI-driven solutions. Strong background in computer science and software engineering, with expertise across classification, detection, tracking, segmentation, OCR, and 3D reconstruction tasks. Skilled in MLOps, edge and cloud deployment, and optimization of models for production. Passionate about research, innovation, and applying cutting-edge deep learning techniques to real-world problems. 

Save the date, come by, and dive into the world of data with us!