#MLflow
10 articles with this tag
Databricks Big Book of AgentOps Drops
Databricks released its Big Book of AgentOps on Sept 2, a blueprint for governing, observing and scaling AI agents in production.
Discovery Bank hyper-personalized banking at scale
Discovery Bank's hyper-personalized banking runs on reusable behavioral AI and governed data, delivering 40% engagement uplift with agents inside controls.
AI Agents Slash Security Alert Noise
Databricks implemented specialized AI agents for security alert triage, boosting true-positive rates and saving thousands of analyst hours.
Databricks Blends BI with Predictive AI
Databricks integrates Genie and TabPFN into a multi-agent system, enabling business users to ask predictive questions directly within conversational BI.
Databricks Adds OpenTelemetry Tracing
Databricks integrates OpenTelemetry tracing directly into Unity Catalog, offering governed, cost-effective observability for AI agents and simplifying telemetry pipelines.
MemAlign MLflow Bridges AI Judge Gap
Databricks' MemAlign framework in MLflow significantly improves AI judges' accuracy in evaluating machine learning code, bridging the gap with human experts.
Databricks Tackles Code Complexity for AI Assistants
Databricks details how AST-based chunking and MLflow evaluation improve AI assistants' understanding of complex codebases.
MLOps Tools for Production AI
Explore MLOps frameworks, from open-source tools like MLflow and Kubeflow to end-to-end platforms, to streamline your production ML pipelines.
Databricks' coSTAR for AI Agents
Databricks details its coSTAR methodology for rapidly and safely deploying AI agents, addressing key testing challenges.
Mazda's GenAI Leap in Service Ops
Mazda built a governed GenAI assistant on Databricks Lakehouse in 8 weeks to improve technical service operations, integrating RAG and Unity Catalog.
