Most AI conferences follow a familiar script. Big promises. Shiny slides. Lots of talk about “the future,” very little about what actually works on Monday morning.

AI for Business: Hands-on. Ballast-off. was built as a direct response to that.

The goal of this event wasn’t to hype artificial intelligence. It was to make it usable.

Less talk. More doing.

From the start, the focus was clear: practical application over theory. No marketing buzzwords, no inflated expectations. Instead, nearly two dozen lightning talks and real-world case studies grounded the conversation in what teams are actually shipping, deploying, and learning in production today.

But the heart of the event wasn’t the stage.

It was the workshops.

Intensive, hands-on sessions led by people who build, deploy, and scale AI for a living. Not consultants with slides—practitioners sharing field-tested approaches, tools, and decision frameworks you can take back to your team and apply immediately.

The intent was simple: don’t just inspire people. Equip them.

Five tracks. One shared mindset.

AI adoption looks very different depending on your role. That’s why the program was structured into five focused tracks, each going deep instead of spreading thin:

  • AI Strategy & Transformation
    For leaders and managers responsible for turning AI ambition into business outcomes.

  • Product & Customer Experience
    For teams designing and delivering AI-powered products people actually want to use.

  • Developer Deep Dive
    For engineers and architects building AI systems under real constraints.

  • Productivity & No-Code
    For professionals who want to start using AI immediately—without waiting for a roadmap.

  • AI & Data in Action
    For data and AI specialists focused on turning data into working, reliable systems.

Different audiences, different problems—but a shared emphasis on execution over theory.

Learning from those who’ve done the work

The event brought together experts from companies actively applying AI across industries, including Apoco, AWS, Barclays, Blindspot AI, ČEPS, ČSOB, DataSentics, Datacruit, DNAi, Google, HPE, KPMG, Livesport, M Computers, Make, MAMA AI, O2, Profinit, PwC, Stratox, Sympulse, and Zentiva.

These weren’t abstract success stories. They were honest conversations about trade-offs, mistakes, lessons learned, and what it really takes to move AI from experimentation into everyday business use.

Who represented us

We were represented at the event by three speakers who work hands-on at the intersection of business, technology, and real-world AI delivery:

• Patrik Horny
• Jan Mlynar
• Martin Komínek

Built for action, not applause

In the end, AI for Business: Hands-on. Ballast-off. wasn’t about predicting where AI is going.

It was about helping people work with AI today—confidently, responsibly, and with results.

Because thinking about AI is easy.

Building with it is where the real work begins.