natural language
natural language on Beyond Market Intelligence: a running collection of 3 stories we have gathered and hand-picked because they are worth your time. Every post here touches on natural language in some way — the news, the analysis, the deep dives, and the occasional surprise find. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work with data. New stories are added to this page as we find them, so check back if you want to keep up with what is happening around natural language, or subscribe to the RSS feed to get them as soon as they are published. Browse the collection below, or head back to the homepage to see everything Beyond Market Intelligence is covering right now.
I Built an AI Data Agent Which Can Query Data and Answer Business Questions. Here’s How.
Unlock data insights effortlessly with a new approach to business intelligence. This guide details how to build an AI data agent—a conversational interface empowering users to explore data and answer critical business questions using natural language, bypassing the need for SQL. Discover a streamlined workflow that transforms data access, fostering quicker decision-making. Learn the step-by-step process, and explore how companies like Mirendil are scaling similar AI infrastructure with significant Google Cloud investments.
Grafana Assistant Expands to More Than 30 Data Sources
Grafana Assistant now empowers users to explore observability insights across a broader landscape, integrating with more than 30 diverse data sources. This expansion allows for natural language queries and correlations, streamlining data analysis and accelerating troubleshooting. Leverage AI to transform how you understand your systems, moving beyond siloed views. For a deeper dive into related AI projects, see our recent article, "Recent project I worked on: End to End Edge ML platform," demonstrating practical applications of AI-driven solutions.
Intuit scrapped its own AI agent architecture twice in four months. At VB Transform 2026, its AI VP called that the fast path
Intuit’s journey with agentic AI highlights a crucial truth: rapid iteration is essential. The company initially built a fleet of specialist agents, then pivoted to an orchestration layer, only to rebuild the entire architecture within 60 days after encountering limitations in context retention. This experience, shared at VB Transform 2026, underscores the challenges of scaling agent-based systems and the importance of prioritizing customer outcomes. As Brex demonstrated, observing agent behavior can be a powerful tool in policy creation.