How Open Data Infrastructure preserves choice in the age of AI
At dbt Summit, leaders from Fivetran + dbt Labs, Snowflake, Microsoft, and MotherDuck discussed why openness includes compute, governance, business context, and AI.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Why did my organic traffic drop? Find the cause with AI (Databox Semrush MCP)
Why did my organic traffic drop? Ask Genie, the Databox AI Analyst, with the Semrush MCP connector. Genie checks your Google Analytics traffic, then runs keyword, competitor, backlink and site audit research in Semrush, all in one answer. In this example, two causes explain almost the whole 14% drop: a competitor took two top keywords, and a canonical tag error went live with a site release. In this video.
Why did our pipeline drop? Find the cause in HubSpot deal notes (Databox HubSpot MCP)
Why did our pipeline drop? Ask Genie, the Databox AI Analyst, and it reads your HubSpot deal notes through the HubSpot MCP connector to find the cause. In this example, open pipeline is down 17.5% to $1.04M. Genie traces it to 2 deals lost on price after a Sept 1 rate change and 1 deal that lost its champion. In this video: Chapters Key terms Tools and data sources shown: HubSpot (CRM integration and HubSpot MCP connector), Google Analytics, Stripe, Slack. All data is a fictional demo account.
Why Did My Organic Traffic Drop? How to Find the Cause With AI and Your Semrush Data
Organic traffic usually drops for one of four reasons: a competitor took your rankings, keywords slipped out of the top 10, a technical issue appeared on your site, or you lost backlinks. Your SEO dashboard shows when the drop started. The reason sits in Semrush, split across Position Tracking, Organic Research, the backlink reports and the site audit. Finding it means opening four reports, exporting four files and lining them up against your traffic chart in a spreadsheet.
BigQuery ObjectRef now GA: Build multimodal data platforms for conversational analytics entirely in SQL
BigQuery ObjectRef is now GA. Combine unstructured data with Gemini to build powerful multimodal analytics and conversational agents using SQL.
Why did MRR drop? Find the cause in Stripe with AI (Databox Stripe MCP connector)
Why did MRR drop this month? Connect Stripe to Genie, the Databox AI Analyst, with the Stripe MCP connector and ask. Genie checks the MRR metric in Databox, then reads the subscriptions, invoices and payments in Stripe. In this demo, two canceled subscriptions and three failed payments explain the whole 3.9% drop, and $2,900 of it is still recoverable. In this video: Chapters.
Ep 97 | AI Agents Move Fast. Who's in Control?
One developer burned through 300 million AI tokens in a single week. The payoff was far less impressive. For Todd Trevillion, it's a striking example of what can happen when AI adoption outpaces the controls needed to manage it. And with autonomous AI agents beginning to make decisions on behalf of businesses, the stakes are getting higher.
YAML is Having a Moment, and the Reason is Agents!
Every few years, a mature technology finds an unexpected use that breathes new life into the data profession. Change data capture did it for data delivery, and cloud data warehouses did it for business analytics. You may think I’m going to wax lyrical about generative AI, but I’m actually thinking of a markup language that's “having a moment” thanks to generative AI.
How to use Fivetran Skills to connect Claude to your Marketo data
How I use Fivetran connectors and Skills to turn our warehouse data into direct answers through Claude, instead of rebuilding the same analysis in Marketo every time.
Building With ARIA: From Plain English to EDI Flows
ARIA is an AI Agent that has full knowledge of the Astera ecosystem. Sudais (Growth Strategist) sits down with Hasham Qazi (AI Product Specialist), to talk about why, and how that single agent, ARIA, builds data flows, workflows, and EDI pipelines from plain-language prompts. Hasham walks through a real use case, building an EDI flow from a file you hand to the agent, and explains what ARIA does when your prompt has gaps, how it checks its own work, and where it's heading next.