Speak in front of hundreds of participants of a leading AI conference in CEE region
50+
lectures
4
tracks
35 min
to the point speeches
Get to know DevAI by DSS
DevAI by Data Science Summit is an event for people involved in software development who want to stay up to date with trends and implement modern AI-based solutions. This is a unique conference dedicated to developers, supported by the largest Polish *data* community, which has been focused around the Data Science Summit for years.
An accompanying event is DevAI Expo - a job fair, products and services related to the conference theme.
3+
editions
3
formats
50+
lectures
3+
tracks
500+
participants
4,84
avg. lecture rate
What does the event consist of?
Onsite conference
Tuesday, 20.10.2026, speaking in front of a live audience
Online conference
Monday, 19.10.2026, live speeches + VoD
Biblioteka VoD
Monday, 19.10.2026, the VoD library is released
Afterparty
Tuesday, 20.10.2026, an evening meeting of speakers, partners and participants
Expo
Monday and Tuesday, 19-20.10.2026, an online and in-person trade fair for products, services and recruitment
Who is the event aimed at?
- Architects
- Developers
- Testers
- Cloud Consultants
- DevOps
- Infrastructure Engineers
- AI Engineers
- Data Scientists
- MLOps Engineers
- C-level Executives
- Directors
- Managers
Conference participant profile
Seniors & executives
(80%)
Regular / Mid
(15%)
Juniors
(5%)
What thematic tracks are planned?
AI in Software Development
- AI-Assisted Coding & Dev Workflows
Claude Code, Codex, Cursor, Copilot; vibe coding vs. structured engineering workflows; parallel task execution, repository management, code review automation and AI-native development pipelines.
Scaling & Maintenance
- AI Systems in Production
Production reliability, maintenance, scaling, observability, evaluation systems, debugging, inference optimization, performance tuning and operational resilience for enterprise-grade AI systems.
Building AI Solutions
- Agent Engineering
Agent development patterns (ReAct, Plan-and-Execute, Reflection), memory architectures (short/long-term, episodic vs. semantic), tool use, MCP and function calling, distributed multi-agent coordination, shared state management, git worktrees and autonomous parallel coding inside the same repository.
- Context Engineering
Grounding strategies, context graphs, retrieval pipelines, context orchestration and retrieval optimization for agentic and LLM-based systems.
- AI Systems Quality Management
Testing nondeterministic systems, evaluation pipelines, LLM-as-a-judge methodologies, tracing, prompt injection mitigation, guardrails, sandboxing and reliability validation.
- Local LLMs & Edge AI
vLLM, quantization, on-prem deployments, edge inference, VLM pipelines, Document AI, TTS, STS and STT systems integration.
Management Challenges
- AI FinOps
Token consumption management, inference cost optimization, model utilization efficiency, infrastructure economics and operational budgeting for AI workloads.
- Software Development Team Management
Organizational transformation in the AI era, developer productivity shifts, human-AI collaboration models, competency restructuring and AI-native engineering culture.
- Other Management Challenges
Governance, compliance, delivery accountability, AI adoption strategy, operational risk and long-term organizational adaptation.
What speeches and in what form can you expect?
Online:
Live Online Presentation [35 minutes] - a presentation delivered live online and streamed to attendees.
Tutorials [2 hours] - a practical, interactive online session.VoD:
VoD - a lecture delivered before the conference, in the form of a pre-prepared recording and published on the day of the conference.Onsite - PGE Narodowy, Warsaw:
On-site Presentation [35 minutes] - a live presentation delivered in person.
Panel Discussion [35 minutes] - participation in a moderated expert discussion.
Fireside Chat [35 minutes] - a one-on-one interview.
Roundtable [35 minutes] - an open, moderated discussion with conference participants.We are particularly interested in the following types of submissions:
- Practical case studies showcasing real project experience and insights that are difficult to find in guides or documentation
- Advanced level speeches (deep dives; levels: 300 & 400)
- Trend speeches
Why become a speaker?
- You will be able to present the results of your work / research / interesting case studies / ... - hundreds people from the entire IT and Data Science community.
- You will gain experience as a speaker at a large conference / confirm your position as a major expert in your area.
- Networking - you will meet a lot of interesting people
- Other people in the industry working in the same field
- Other speakers during stationary speeches and workshops,
- Representatives / experts / managers from organisations that are Sponsors and Partners of our event - leading IT companies
- Conference participants
- You will have the opportunity to discuss your challenges / experiences / insights with other experienced people
- You will develop your skills substantively - by participating in the conference for free - listening to other speeches.
In addition, each speaker receives:
- Possibility to attend the entire event online and onsite.
- A welcome giftbag with an official event T-shirt.
- Invitation to the afterparty with a welcome drink for Speakers.
- Certificate certifying presentation at the conference.
Meet speakers of 2026
At the event you will meet and listen to the best specialists from Poland and abroad.
Borys Stokalski
ExpertGPAI/OECD.AI, RETHINK
Tomasz Janczewski
AsystentAkademia Marynarki Wojennej w Gdyni
Jakub Nabrdalik
ArchitektJNA
Marek Pilczuk
BI DeveloperIndieBI
Piotr Migdał
Founding EngineerQuesma
Germain Safari
Lead machine Learning EngineerAdmind Agency
Jan Majewski
Lead AI EngineerMinerva Technology
Frederik Pietzko
Developer AdvocateJetBrains
Ryszard Szwajlik
AI Technical Leadj-labs
Serg Masis
Principal AI ScientistSyngenta
Rafał Kowalski
Software EngineerRevolut
Oleg Żero
freelance consultantZerowithdot Oleg ŻeroProgramme Council 2026
Michał Bijata
Prezes zarząduFundacja Academic Partners
Paweł Manowiecki
BI & AI Solutions ArchitectData Wizards
Jakub Nowacki
Director, Machine LearningVisa
dr. hab. Dominik Batorski
Przewodniczący Rady ProgramowejDevAI by DSS
Łukasz Bolikowski
Piotr Brzyski
Human in the Loop | FounderZetatech
Łukasz Czarnecki
Event Organizers
Main organizer
Since 2005, we have been supporting the Polish IT / data science community in its development. We are not only the organizer, but also the initiator of many significant events aimed at industry professionals and students, such as Warsaw IT Days, Data Science Summit, The Hack Summit, Ya!vaConf, MS Tech Summit, Warsaw IT Days Expo and many meetups. We also help organize IT and data science conferences for companies / organizations interested in such activities.
