– What do you do when it gets too big to have talks over the table?
– How to select core components for a data platform which can support existing and future ambitions?
– Empowering Users through LLMs and MCP and accelerate the process from idea to insight
Key takeaways:
– STRUCTURE AND GUIDELINES is a great base – but agility is modus operandi
– FOCUS IN ON CORE TECHNOLOGIES and grow strong competencies in these to deliver at scale
– PREPARE YOUR PLATFORM AND DATA FOR AI as we need to have the flexibility to handle multiple cases
