DnD Day

  • Date: 04.07.2026
  • Time: 11:30 - 17:30
  • Format: Offline
  • Price: Details via the link
  • Language: Ukrainian
  • Venue: SoftServe Office

About event

DnD Day is an offline event exploring how AI, Big Data, Data Science, BI and engineering approaches are transforming the way we work with data. SoftServe experts will discuss self-service BI, semantic layers, time series forecasting, foundation models, AI-generated code, and agentic approaches to development.

Programme

11:30 – 12:00 — Coffee and networking 12:00 – 13:30 — Panel discussion “Vibe Coding: Benefits, drawbacks and a reality check” 13:30 – 14:30 — Lunch and networking 14:30 – 15:00 — Big Data & Analytics case study: “Modern Self-Service BI: Dashboards aren’t enough” 15:00 – 15:30 — Data Science case study: “Evaluation as a core architectural element: scalable LLM solutions for document analysis on Databricks” 15:30 – 16:00 — Break and close of the main programme 16:00 – 17:30 — Hands-on workshops

Panel discussion

Vibe Coding: Benefits, drawbacks and a reality check

Speakers: Olha Nazarenko, D&A Technical Architect Iryna Kovalchuk, Technology Consulting Director Markel Tuzynskyi, Agentic Engineering Architect Mykola Slobodian, Senior Product Manager (moderator)

On how AI-generated code is changing development: where it speeds up work and opens new opportunities, and where it introduces risk. Speakers will share their experience and practical perspectives.

Case study: Big Data & Analytics

Modern Self-Service BI: Dashboards aren’t enough

Speaker: Taras Ozarkiv, Data & Analytics Solutions Architect

On building trust in metrics, providing clear context, and reaching decisions faster. The focus is on AI-powered analytics, semantic layers, natural language data queries, and lessons learned from real projects.

Case study: Data Science

Evaluation as a core architectural element: scalable LLM solutions for document analysis on Databricks

Speaker: Svitlana Dubinina, Senior Data Scientist

On making LLM-based document analysis solutions scalable, cost-effective and production-ready. The focus is on Databricks, optimising model running costs, an evaluation framework, and model reliability metrics.

Big Data & Analytics Workshop

Building a semantic model with Power BI and Claude Code

Volodymyr Solohub, Senior DW/BI Software Engineer Olha Nazarenko, D&A Technical Architect

A hands-on workshop on building a Power BI semantic model using Claude Code via MCP.

Data Science Workshop

How can agentic AI and computer vision work together?

Solomiia Lenio, Data Scientist

This session will look at whether there’s still room for computer vision-based solutions in a market dominated by large language models, examine the latest advances in multimodal models, and discuss how they can be applied to video processing tasks.