data sources
data sources at Beyond Market Intelligence is a file of 3 stories. The newest of them: “Reconciling messy names from different data sources? Let AI simplify it.”, “Design Your AI Workflows with Graph Engineering, Not Just Agent Loops”, and “Explore how AI now connects insights across 30+ data sources”. Reconciling two name columns when neither dataset plays by the same rules is a familiar frustration. Single-agent loops are only part of the story. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every data sources story on Beyond Market Intelligence, newest first.
Reconciling messy names from different data sources? Let AI simplify it.
Reconciling two name columns when neither dataset plays by the same rules is a familiar frustration. You've got "First Last" on one side, "Last, First" on the other, and that's before the misspellings and partial labels like "M&S" versus "Projected M&S." A simple XLOOKUP or INDEX/MATCH key won't cut it when the data itself is inconsistent. Instead, think about building a fuzzy match approach. Use functions like TRIM, SUBSTITUTE, and maybe even a helper column that strips common prefixes or punctuation.
Design Your AI Workflows with Graph Engineering, Not Just Agent Loops
Single-agent loops are only part of the story. Graph engineering treats AI applications as explicitly designed workflows, where agents, tools, validators, and humans coordinate with intention. It's a shift from autonomous tinkering to deliberate architecture. That distinction matters. Moving beyond isolated prompts and toward systems that feel engineered, not improvised is a strong case. If you're curious how such coordination plays out in practice, our piece on talking to an AI clone offers a grounded counterpoint.
Explore how AI now connects insights across 30+ data sources
Grafana Assistant now reaches across more than 30 data sources, letting users query and correlate information through plain language. That is a meaningful step for anyone juggling multiple monitoring tools. The expansion removes friction from observability, turning complex troubleshooting into a conversation rather than a chore. For those already exploring how AI reshapes workflows, this feels like a natural progression.