Conference agenda
DAY 1
Conference: 10.00 AM - 5.00 PM
(coffee and registration from 9.30 AM)
Dinner: 7.00 PM - 10.00 PM
(registration from 6.00 PM)
DAY 2
Conference: 9.00 AM - 1.00 PM
(coffee and registration from 8.30 AM)
Conference: MakoLab HQ, Ogrodowa 8, Łódź, Poland
Dinner: Izrael Poznański Palace, Ogrodowa 15, Łódź, Poland
Contents
DAY 1 - main stage sessions and MakoDays dinner
DAY 2 - main stage programme
DAY 1 and 2 - parallel tracks. An exclusive workshop + side events
Main stage
10:00 - 10:10 I Welcome and opening remarks
Host: Miron Niewiadomski, Communications Manager, MakoLab
10:10 - 10:40 I The current state of AI
Piotr Ignaczak, CTO, MakoLab
10:40 - 11:10 I Drivers and challenges in AI adoption
Uncovering the enablers and roadblocks of enterprise AI transformation
Thierry Folliot, CIO, Jiliti
11:10 - 11:40 I Coffee break
11:40 - 12:10 I Talk to data
Conversational access to data, transforming insights and decisions
Jacek Popko, Director of Digital Solutions, MakoLab
12:10 - 12:40 I AI: The killer app for Quantum or the Quantum hype killer?
Quantum’s role in the AI story
Mirek Sopek, PhD, Founder of MakoLab, CEO and founder of Quantum Blockchains, Inc.
12:40 - 13:40 I Lunch break
13:40 - 14:10 I How today’s organisations approach AI, data and security
Guest speaker, TBA
14:10 - 14:40 I Between algorithms and ethics: Navigating AI-driven uncertainty
Panel discussion
Chair: Professor Katarzyna De Lazari-Radek, PhD, hab., Vice Rector of Internationalisation, University of Lodz, AI Ethics Expert
Panellists: TBA
14:40 - 15:10 I Cybersecurity in the era of LLMs
New vulnerabilities and secure design
Maciej Grala, Cybersecurity, MakoLab
15:10 - 15:30 I Coffee break
15:30 - 16:00 I Fraud prevention service
An AI-powered anti-fraud system securing digital payments across the Nordics
Sören Babra, CEO, Payair Technologies
16:00 - 16:30 I Generative AI on AWS
Łukasz Kołodziejek, Senior Solutions Architect, AWS
16:30 - 16:45 I Wrap-up, DAY 1
Dine at the heart of Łódź
19:00 – 22:00
(Registration from 18:00)
Join us for an unforgettable evening at an iconic historical landmark, the Poznański Family Palace. Built by one of the great manufacturing dynasties and now home to the City of Łódź Museum, this outstanding architectural gem is where our cutting-edge conference community will enjoy soaking up our city’s unique atmosphere. This promises to be a memorable gathering offering a culinary feast and a relaxed atmosphere perfect for forging closer relationships.
Main stage
9:00 - 9:05 I Welcome back
Host, Miron Niewiadomski, Communications Manager, MakoLab
9:05 - 9:35 I AI governance and responsible adoption
Integrating AI into strategy and operations responsibly
Piotr Ignaczak, CTO, MakoLab
9:35 - 10:05 I AI adoption in the legal context
Legal and compliance challenges in AI
Guest speaker, TBA
10:05 - 10:30 I Coffee break
10:30 - 11:00 I Knowledge management for AI
How to organise and sustain enterprise AI knowledge
Artur Olszczyński, Software Solutions, MakoLab
11:00 - 11:30 I TD Synnex
Partner session
Piotr Blonkowski, Cloud Solution Architect, AWS CoE, TD Synnex
11:30 - 12:00 I AI in the large and medium-sized enterprise sector in Poland – Wait and see or copy and paste
Grzegorz Soczewka, VP Sales for Eastern Europe, OVHcloud
12:00 - 12:30 I Do we still need websites in the age of AI?
Reimagining digital presence in an AI-driven world
Jacek Popko, Director of Digital Solutions, MakoLab
Jacek Żmudziński, SEO Team Lead, MakoLab
12:30 - 12:45 I Closing remarks
Register to secure your place
Discover AI for business
A practical session for change leaders who want to understand how modern technologies can address real business challenges. The workshop introduces a structured approach to analysing organisational issues, pinpointing where AI and automation can bring the greatest value and recognising the conditions required for effective implementation.
Why attend
Participants will gain both strategic and hands-on perspectives, combining an overview of technology applications with an introduction to tools that support business growth. This is an ideal starting point for companies ready to structure their transformation journey and make informed, data-driven decisions about AI adoption.
Places are limited!
To register, please send an email to marketing@makolab.com providing your full name, company and role and the selected date.
Parallel presentations, demos and workshops tracks
AI strategy and business value
- Gain clarity on how to turn AI ideas into measurable business outcomes. The sessions cover the full journey from discovery to ROI, highlighting global success factors and enterprise readiness and addressing new compliance frameworks like DORA.
- Engage in debates on investment maturity and the infrastructure choices that drive scalability, cost efficiency and security.
AI in action: Technology and implementation
- Learn from hands-on experience in implementing AI across diverse environments.
- Explore fine-tuning methods, secure retrieval architectures, hyperautomation with low-code tools and real-time intelligence powered by streaming data.
- Understand how AI integrates with platforms like .NET and discover what’s next in agent-to-agent collaboration.
Cybersecurity in the AI era
- Stay ahead of emerging AI-driven threats and new defence strategies. Topics include deepfakes, voice theft, AI-enhanced penetration testing and identity verification in the age of generative content.
- Discover how NLP and open-source intelligence help counter disinformation and learn about the risks related to the Model Context Protocol (MCP).
The future of software development with AI
- See how AI is redefining software creation through copilots, coding agents and next-generation IDEs.
- The sessions explore natural language-to-code generation, AI-human co-development and automated testing, offering a practical view of how intelligent tools are making coding faster, more creative and more collaborative.
Data and knowledge: The core of AI
- Understand why data quality and governance are critical for AI success.
- The discussions focus on effective data architectures, compliance frameworks, hybrid AI models combining generative and knowledge-based systems and neurosymbolic approaches that blend ontologies, machine learning and GenAI for more intelligent decision-making.