MLOps Community
The MLOps Community is where machine learning practitioners come together to define and implement MLOps.
Our global community is the default hub for MLOps practitioners to meet other MLOps industry professionals, share their real-world experience and challenges, learn skills and best practices, and collaborate on projects and employment opportunities. We are the world's largest community dedicated to addressing the unique technical and operational challenges of production machine learning systems.
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Events
1:00 PM - 6:00 PM, Mar 6 CET
Nebius AI Cloud Unveiled. Paris Meetup
5:55 PM - 7:15 PM, Mar 6 GMT
Agent Hour
3:00 PM - 9:30 PM, Mar 12 GMT
AI in Production 2025
Content
video
Agents in Production [Podcast Limited Series] - Episode Five, Dmitri Jarnikov, Chiara Caratelli, and Steven Vester join Demetrios to explore AI agents in e-commerce. They discuss the trade-offs between generic and specialized agents, with Dmitri noting the need for a balance between scalability and precision. Chiara highlights how agents can dynamically blend both approaches, while Steven predicts specialized agents will dominate initially before trust in generic agents grows. The panel also examines how e-commerce platforms may resist but eventually collaborate with AI agents. Trust remains a key factor in adoption, with opportunities emerging for new agent-driven business models.
Mar 3rd, 2025 | Views 3
video
In Agents in Production [Podcast Limited Series] - Episode Four, Donné Stevenson and Paul van der Boor break down the deployment of a Token Data Analyst agent at Prosus—why, how, and what worked. They discuss the challenges of productionizing the agent, from architecture to mitigating LLM overconfidence, key design choices, the role of pre-checks for clarity, and why they opted for simpler text-based processes over complex recursive methods.
Feb 28th, 2025 | Views 7
video
An exclusive virtual meetup among handpicked individuals by NVIDIA in the industry.
A Demo by NVIDIA to set the stage followed by an open roundtable to trade insights, feedback and war stories.
The session is an active discussion on AI data stores. What’s working, what’s holding things back, and what needs to evolve.
Feb 28th, 2025 | Views 8