AI Is No Longer Just an Experiment. Companies Are Now Figuring Out How to Bring It into Everyday Operations

This year’s programme will combine the experience of people implementing AI and data solutions in real-world operations with perspectives on technologies that are pushing the boundaries of what can be done with data. Alongside corporate case studies, topics will include the use of AI to discover previously unknown security vulnerabilities, quantum machine learning, and automated scientific discovery.

“Just a few years ago, companies were mainly looking for areas where they could use AI. Today, they are actually deploying it and facing completely different questions. What really works? What data does AI need for its outputs to be reliable? And how does its adoption change the work of people who work with data? At Primetime, we want to share the experiences of those who are already going through this in their companies,” says Michaela Dvořáková of Blue Events, the conference organiser.

From Zero-Day Vulnerabilities to AI Built on Corporate Data

This year’s keynote will be delivered by Stanislav Fort, Founder and Chief Scientist & CTO of AISLE. Using examples from Linux, Chrome, OpenSSL, curl, FreeBSD, and Signal, he will show how AI helps uncover previously unknown zero-day vulnerabilities in critical software. Specialised models can systematically analyse millions of lines of code and, combined with expert verification, turn them into concrete findings. For the data and AI community, this is a tangible example of what specialised AI systems can already achieve at a scale that no individual human can cover alone.

Martin Gerneš, Data Platform Tribe Lead at Komerční banka, will focus on what companies need in order to scale AI effectively. In his talk, “From Data Mesh to AI Mesh: Why Most Companies Are Building AI on the Wrong Foundations,” he will address data quality, data products, governance, and the accountability of individual domains. Simply deploying an LLM or an internal chatbot does not mean that a company is ready to use AI at scale.

When AI Meets the Everyday Operations of a Company

Eva Hankusová, AI Product Owner & AI Portfolio Manager, and Renata Šiklová, Head of Underwriting and Claims Services at NN Czech Business Unit, will share practical experience with AI implementation. They will offer two perspectives on the same topic: from selecting AI use cases, portfolio management, delivery, adoption, and value measurement to the impact of AI deployment on processes, employees, and everyday operations. Their presentation will also cover negative experiences, where they encountered obstacles during AI implementation, and what they would do differently today.

A concrete data project from an industrial environment will be presented by Eva Kovaliček Matejčíková of MECASYS. The company translated the know-how of experienced technologists in pricing CNC components into a data model. The resulting application now enables three technologists with different levels of experience to produce nearly identical estimates within seconds rather than hours. The talk will cover the entire process, from working with manufacturing data collected over many years and selecting the model to earning the trust of the people expected to use the new tool.

Quantum Computing and AI Entering Scientific Discovery

Marek Lampart, Head of the Quantum Computing Laboratory and Professor at VŠB-TUO / IT4Innovations, will look beyond today’s mainstream uses of AI. Using two quantum machine-learning examples, he will present time-series forecasting in the energy sector and fraud detection, highlighting both the current capabilities and the limitations of quantum computing.

Ondřej Vaněk, Chief AI Officer at CTU, will focus on AI for automated scientific discovery. He will present systems capable of connecting individual stages of the research cycle, from formulating a hypothesis through experimentation and analysis to generating the next hypothesis. He will also raise the question of what this development could mean for training the next generation of scientists and for the role of humans in the scientific process.

What Will Happen to Data Teams and BI?

Primetime will also feature a panel discussion titled “We Have AI. Now What?”, moderated, like the entire conference, by Daniel Stach of Czech Television. The discussion will focus on the experiences of companies that have already moved beyond the first phase of AI experimentation. It will explore what is actually working in production, how AI is changing the work of data and analytics teams, what it could mean for the future of BI and dashboards, and how much AI-generated answers can be trusted in real-world decision-making.

The discussion will feature Michal Kecera, Group CTO at Rohlik Group; Petr Hirš, AI Transformation Director at O2 Czech Republic; Antonín Kučera, Head of BI, Data Science & AdOps at Livesport; and Lucie Šperková, Business Intelligence Consultant at Prague Airport.

About Primetime for Big Data

Primetime for Big Data brings together people who create and analyse data and build technologies on top of it with those who use data in decision-making and are responsible for its business value. In 2026, the conference will be held for the thirteenth time. It regularly attracts more than 200 participants from the data, technology, and business communities.

Primetime for Big Data 2026
26 November 2026
National Library of Technology, Prague
www.primetimefor.cz

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