InApache AirflowbyAliakbar Hosseinzadeh·Sep 19From Natural Language to Data Insights: How Apache Airflow Common AI Changes Data PipelinesUsing natural language to generate SQL, validate data, analyze results, and summarize pipeline issues.
Rootlenses·Sep 3Text-to-SQL in enterprise applications: Architecture, challenges, and best practicesText-to-SQL is emerging as one of the most practical applications of generative AI for enterprise data. Instead of requiring users to write…
Steven Gilbert·Sep 2AI Won’t Replace the Analyst. But It Will Change What a Good Analyst Looks Like.How analysts can work faster, ask better questions and use AI without surrendering human accountability.
Chris Daily·Aug 28The Gap Between How Your Business Is Supposed to… | beLitheThe Gap Between How Your Business Is Supposed to Work and How It Actually Does
Chris Daily·Aug 27Cleaning data you can actually trust in Excel | beLitheCleaning data you can actually trust in Excel
Gayathri M·Jun 20The Future of Data Consumption Is ConversationalThe Future of Data Consumption Is Conversational
Guillaume Verbiguié·Mar 30I shipped an AI copilot, not a GPT wrapperI built and shipped an AI copilot on top of an ecommerce dataset, with generated SQL, simulation, routing, guardrails, and governance. The…
AR5 Labs·Mar 30We Built AI Agents for Data Analytics — Here’s What We Learned the Hard WayWe’ve spent the last year building PlotStudio AI — a multi-agent system that takes raw data and produces complete analytical reports. Along…A response icon1A response icon1
