Time series

MCPs for Observability Stacks

MCPs for Observability Stacks

Diana Todea, Head of Developer Relations at VictoriaMetrics, demonstrates how Model-Controller-Pair (MCP) servers enhance observability stacks for faster, smarter troubleshooting. She highlights the use of AI-driven anomaly detection, natural language querying, and customizable "skills" to investigate production issues, manage metrics, and generate alerts, showcasing practical applications with two interconnected MCP servers.

The Pathologies of Big "Messy" Data in Telco • Jay Fenton • YOW! 2015

The Pathologies of Big "Messy" Data in Telco • Jay Fenton • YOW! 2015

Jay Fenton discusses the challenges of "big messy data" in the telecommunications industry, highlighting how legacy systems fail to handle the scale and complexity. He presents a suite of modern tools, including Graphistry, IPython, and D3.js, for large-scale data visualization and analysis, advocating for a "human-computer symbiosis" to empower engineers in managing complex networks.

The AI that solves the market: A new era in forecasting with natural language explainability

The AI that solves the market: A new era in forecasting with natural language explainability

LG AI Research introduces its advanced financial forecasting framework, which powers a US equities market ETF (LQAI) and a new "Master Score with Commentary" product with LSEG. The system uniquely combines structured financial data with unstructured text from news and reports, using the proprietary Exaone LLM and a multi-agent architecture to deliver explainable, accurate, and actionable market predictions across the entire US stock market.