Thousands of Real-Time Models in Production
Hear from Kaegan Casey, AI/ML Solutions Architect at Seagate, discuss how his team uses MLRun to train thousands of models in parallel.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Orchestrating Multi-Agent Workflows with MCP & A2A - MLOps Live #39 with Google Cloud
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.
13 Best Free Datasets for Call Centers and Telcos
Customer service chatbots and co-pilots and smart call center analysis applications are prime use cases for AI and generative AI. These AI systems and agents can provide real-time recommendations, support customer service at scale, generate insights that can be used in downstream applications to reduce churn and increase revenue, and more. How can customer service organizations grow and optimize their use of data and AI?