Online conference · 25 September 2026
BIG BOOK LIVE: Data & AI Stories
An online conference for data and AI practitioners, in Polish.
panel discussions
of recording (4 h 15 min)
speakers and hosts
after a short registration
What does deploying AI and modern data solutions in organisations really look like?
No marketing slogans. No theory detached from reality. Only the experience of experts who design, deploy and develop data & AI solutions in business every day.
The conference was prepared by the authors and reviewers of "Big Book of Real-World Use Cases" - technology experts, data architects, digital transformation leaders and AI practitioners.
On 25 September 2026 Sofixit invited practitioners to a LIVE event on the practical use of data and AI in organisations. No marketing slogans - the knowledge and experience of experts. The whole recording is free: register briefly and we will e-mail you the link.
Free, after registration
Watch the full recording
Leave a few details and we will e-mail you the link to the whole conference. Registration is free.
- Four panel discussions and over four hours of practitioners talking.
- The link arrives by e-mail right after you register.
- The conference is in Polish; the agenda and the speakers are further down this page.
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Why watch
01
Practical experience instead of theory
Speakers share real stories of deployments, challenges and decisions taken in data & AI projects.
02
Experts with different perspectives
The view of practitioners in infrastructure, data architecture, advanced analytics and artificial intelligence.
03
Topics that affect the business
From European technology infrastructure, through data governance, to deploying AI agents effectively.
Who it is for
We had in mind:
- digital transformation leaders
- CTOs, CIOs and Heads of Data
- AI and data analytics specialists
- people responsible for data strategy
- IT managers and solution architects
- everyone who wants to develop their organisation deliberately in the AI era
What was discussed
- Real experience from AI and data projects
- The most common organisational and technological challenges
- A practical approach to deploying artificial intelligence
- Infrastructure migration strategy
- Ways of dealing with technical debt
- Concrete mistakes worth avoiding
Agenda
25 September 2026 (Friday), 11:00-15:05 CEST. Times follow the order of the recording.
11:00-11:05
Opening
Welcome and an introduction to the event and the idea of BIG BOOK LIVE.
11:05-12:00
Panel one: "Between experts - data and AI from practitioners for practitioners"
Hosted by: Olga Wisławnych
A discussion of real experience with deploying data & AI solutions in organisations.
- current trends
- the biggest challenges
- organisational barriers
- where AI in business is heading
Marek StępieńEPAM
Błażej Ksycki
Arkadiusz DąbkowskiThe Stepstone Group
Michał SzczudlakG2A
Michał KrzyżanowskiKUBO
12:05-13:00
Panel two: "Migrating to European infrastructure - whether and how?"
Hosted by: Kamil Raróg
Is European technology infrastructure a real alternative to the global hyperscalers?
- security and compliance
- migration challenges
- data sovereignty
- practical experience of companies going through infrastructure transformation
Filip DzięciołBillennium
Paweł PiwoszUpCloud
Emil PodwysockiNational Information Processing Institute (OPI)
13:05-14:00
Panel three: "What is technical debt in data and AI, and why must it be addressed when deploying AI?"
Hosted by: Błażej Ksycki
Artificial intelligence does not work well on chaotic data and outdated architecture.
- how to recognise an organisation's technical debt
- why it blocks AI adoption
- how to prepare the data environment for modern analytics and AI
- Michał SzczudlakG2A
Kinga Barczewska-PflanzIn-Pulse- Michał KrzyżanowskiKUBO
Weronika DardzińskaAstraZeneca
14:05-15:00
Panel four: "Don't make my mistakes - lessons from AI deployments"
Hosted by: Wiktoria Babkiewicz-Chacia
An honest conversation about what went wrong: mistakes, wrong assumptions, organisational challenges and recommendations that really improve the odds of AI projects.
Paweł Zieliński
Jolanta SzymaniukBooksy
Marek WilczewskiPZU Group
Patryk HylaSpectrix
Kamil RarógTelcoBrain
15:00-15:05
Closing
A summary of the event and an invitation to keep in touch and to join the BIG DATA · BIG CHALLENGES community.
People
The panel hosts and the experts who took part. Full biographies are on the Polish page.
Hosts
Olga Wisławnych
Host of panel one
Sofixit
Kamil Raróg
Host of the European infrastructure panel
TelcoBrain
Błażej Ksycki
Host of the technical debt panel
Wiktoria Babkiewicz-Chacia
Host of the lessons-from-deployments panel
AI&More
Experts
Marek Stępień
Data & AI Leader
EPAM
Arkadiusz Dąbkowski
Enterprise Data & Data Governance Architect
The Stepstone Group
Michał Szczudlak
Head of Data Analytics
G2A
Michał Krzyżanowski
Head of Data and AI
KUBO
Filip Dzięcioł
Senior Data Engineer
Billennium
Paweł Piwosz
Developer Advocate
UpCloud
Emil Podwysocki
Deputy Head
National Information Processing Institute (OPI)
Kinga Barczewska-Pflanz
Head of Tech & Data
In-Pulse
Weronika Dardzińska
Real World Evidence Manager
AstraZeneca
Paweł Zieliński
CFO / CDO
Jolanta Szymaniuk
Corporate Analytics Manager
Booksy
Marek Wilczewski
CDO
PZU Group
Patryk Hyla
Global Head of D&A and AI
Spectrix
Event partners
The conference was co-created by communities that bring data and AI practitioners together.
The conference was organised by Sofixit
AI implementations, starting from data.
We combine technological and business competence to help organisations use the potential of their data. What we do every day:
- data platform design
- systems architecture and integration
- advanced analytics
- deploying AI and AI agents
- data governance and strategy
- building modern data-driven environments
The BIG DATA · BIG CHALLENGES community
The conversation continues on LinkedIn: on the Sofixit page and in the BIG DATA · BIG CHALLENGES community.
From the book
A conference born of a book
"Big Book of Real-World Use Cases in Data & AI" - 31 authors, over 400 pages of real deployments, in Polish. The first print run has sold out; the book page takes sign-ups for the reprint and the e-book.
See the book