Systems | Development | Analytics | API | Testing

In this session of MLOps Live, Joseph Perkins, Product Manager at Vizro by QuantumBlack, and Gilad Shaham, Director of Product Management, Iguazio (A McKinsey Company) discuss how modern AI teams are moving beyond heavy engineering to deliver production-ready, business-visible AI systems using open-source frameworks like MLRun and Vizro. In this session, you’ll learn how: The session includes a live demo of a gen AI application, showing how MLRun and Vizro work together to deliver both operational control and business visibility in production.

Safaricom, one of the most AI-mature mobile operators, delivers predictive modeling and hyper-personalized financial services to millions of users. But operational challenges were slowing down deployments—limiting their ability to scale and act in real time. In this session, Safaricom’s AI team shares how they: Watch now to learn how they overcame bottlenecks, scaled faster, and unlocked real-time impact at massive scale with the Iguazio technology.

Hear from Kaegan Casey, AI/ML Solutions Architect at Seagate, discuss how his team uses MLRun to train thousands of models in parallel.

In this webinar we explored cutting-edge tools enabling scalable AI workflows. Discover how MCP (Model Context Protocol) and A2A (Agent-to-Agent communication layer) empower teams to design, build, and manage multi-agent workflows with precision. Key Takeaways.

In this webinar, we heard firsthand about the challenges and opportunities presented by LLM observability.

Watch this webinar and discover.

Scaling and maintaining thousands of models in production presents complex, non-trivial challenges. Join us to hear first-hand the secrets to successful deployment, orchestration and management of AI applications in real-time and at scale. Kaegan Casey, AI/ML Solutions Architect at Seagate, shared two of their newest predictive manufacturing use cases, using both batch and real-time functions.

This demo presents a Telco-focused GenAI agent co-pilot in action, providing assistance to a representative during a live conversation with a customer. The co-pilot recommends a highly personalized upsell opportunity in the process.