Here are 13 open datasets and data sources for telcos and call centers, that you can use for (gen) AI projects
Chatbot deployments are not just a tech choice, they're also a new exploitation vector. What guardrails should you deploy? That depends on your organizational risk appetite.
We are proud to announce a new integration between MLRun and NVIDIA NeMo microservices, by extending NVIDIA Data Flywheel Blueprint.
How to use NVIDIA NIM with MLRun to productize gen AI applications at scale and reduce risks.
MLRun v1.8 adds features to make LLM and ML evaluation and monitoring more accessible, practical and resource-efficient.
The challenge for enterprises isn't just harnessing the power of generative AI—it's making sure that power is predictable, reliable, and safe at scale.
How a large health insurance provider implemented an agentic co-pilot designed scale across multiple call centers and environments.
