We’re running a ~60-minute technical session (+Q&A) on what it takes to move AI agents beyond proof-of-concept.
Our engineering teams at deepsense.ai have deployed multi-agent systems for clients in sports analytics, pharma, and telecom — including one that turned terabytes of football tracking data into a conversational knowledge base.
Speakers:
1. Rafał Łabędzki, AI Engineering Manager — leads enterprise-scale agentic systems for global clients
2. Mateusz Wosiński, ML Tech Lead — specializes in building production-ready AI systems and agent architectures
They’ll cover:
- Architectures and orchestration patterns that survive production
- Evaluation, memory, and observability setups that actually work
- Cost and reliability guardrails from real deployments
- What broke (and how we fixed it)
raczekk•3h ago
Our engineering teams at deepsense.ai have deployed multi-agent systems for clients in sports analytics, pharma, and telecom — including one that turned terabytes of football tracking data into a conversational knowledge base.
Speakers: 1. Rafał Łabędzki, AI Engineering Manager — leads enterprise-scale agentic systems for global clients
2. Mateusz Wosiński, ML Tech Lead — specializes in building production-ready AI systems and agent architectures
They’ll cover:
- Architectures and orchestration patterns that survive production - Evaluation, memory, and observability setups that actually work - Cost and reliability guardrails from real deployments - What broke (and how we fixed it)
When? October 29, 2025 – Free virtual session Join us: https://deepsense.ai/resource/ai-agents-lessons-learned-in-t...
No marketing, no slides-for-show — just field data, production incidents, and hard lessons learned the expensive way.