Analytics Without Engineering is Just Reporting 
Description
🤖 How do you build AI infrastructure that’s not just flashy, but composable, governed, and ready for real-world scale?
In this chat, Jan Franek (Sr. Product Manager) and Andy Chumak (Sr. Technical Manager, SW Engineering) go behind the scenes of GoodData AI: the stack, the decisions, and what’s next. From semantic layers to agents, they explore how GoodData is designing a platform where AI isn’t just a feature, it’s built into the foundation.
What’s inside:
- How composability + semantic modeling power our AI Assistant
- What “MCP” actually means for cross-system context
- The shift from reactive assistants to proactive agents
- Where Slack, SDKs, and analytics as code fit in
- How we’re thinking about LLMs, ontology, and real privacy
A real conversation about what it takes to build AI into the core of a modern analytics platform from the architecture up.
Meet the speakers
Andy is a Sr. Technical Manager, SW Engineering at GoodData, where he leads the team responsible for AI development. Before stepping into engineering management, he served as a Sr. Product Manager and a Sr. Principal Software Engineer. Andy brings a deep technical background from a long career in software engineering. His work spans AI and developer experience, with focus on SDKs, APIs, and analytics as code.
Jan graduated from the Slovak Technical University in 2009 and has since held various technical and managerial roles. Since 2017, Jan has focused on product management, specializing in SaaS product delivery and continuous improvement. While working at T-Systems, Jan led initiatives to enhance SAP operations, and at Infobip, was responsible for AI/ML-based features integrated into chatbot building platform and contact center solution. Jan has recently joined GoodData, where he aims to build on his previous experience to drive further innovation.
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