New: Automate Recurring Analysis And Reporting With Routines

Performance analysis only happens when someone has the time to do it. Every team has performance reviews that need to happen on a regular cadence, whether that is reviewing channel performance each week or reporting to clients every month. The focus may change, but the work behind them is often very similar. Someone needs to understand what changed, why it changed, and whether anything needs attention. Then they need to turn those findings into an update and get it to the people who need it.

Introducing the New Replicate Source for Open Lakehouse

There's a conversation happening in a lot of data teams right now. It goes something like this: the lakehouse is clearly where things are heading, Apache Iceberg is becoming the format everyone wants to land in, and the AI use cases the business is asking for need clean, open, queryable data.

Jeff McMillan on How to Think About AI and Jobs

AI and jobs… the topic that’s top of mind for everyone, yet most organizations are asking the wrong questions. The conversation usually starts with cost cutting: how do we reduce headcount, automate repetitive tasks, trim the budget? Jeff McMillan, founder of McMillanAI, thinks that's the wrong frame entirely. He shares what the better questions are in this clip from The Data & AI Chief podcast.

Ep 95 | AI Agents Move Fast. Can Security Keep Up?

Your AI agent has credentials. Now, what happens when it goes off script? An agent can take action and change course before a traditional security review even begins. For Alex Bovee, identity is only the beginning of the security conversation. In this episode of The AI Forecast, Paul Muller sits down with Alex Bovee, co-founder and CEO of C1 and longtime cybersecurity and identity leader, to explore how autonomous AI agents are changing enterprise security.

Do AI Agents Better

See how AI agents use Model Context Protocol (MCP) with FME to connect complex enterprise and spatial data to Snowflake. In this episode of Do It Better with Snowflake, Safe Software CEO Don Murray demonstrates how FME extends Snowflake Cortex AI Agents with FME workflows for data integration, transformation, and spatial analysis. See how Snowflake + FME can help you: Connect complex data: including GIS, CAD, 3D, LiDAR, BIM, ERP, and unstructured data.

BigQuery Graph measures explained (Why your AI agents get metrics wrong and how measures fix it)

Learn more about measures here. In this BigQuery tutorial, you’ll learn how to define graph measures with MEASURE, query them with AGG, and reuse calculations across different groupings. Follow a simple music dataset to fix double counting and explore the relationships behind the results. Chapters: Speaker: Annie Wang Products Mentioned: BigQuery, Gemini Live API, Agent Development Kit.

2/5 My tidiest marketing table was the output of 28 functions

Part 1 ended with a question for anyone running an internal app: which sources does its most important output depend on? I thought I knew the answer for our marketing dashboard. On 9 August 2026 I found out I did not. Two months later, all 14 of our marketing sources land in one place, and the numbers we act on have changed. The full before-and-after list is in the second tab of the data map further down.

Accelerating Animal Care with Snowflake CoWork and Cortex AI

Mandai Wildlife Group, the steward of Singapore’s wildlife and nature destination, worked with Infinite Lambda to build an AI agent that lets keepers and veterinarians ask questions in natural language and quickly retrieve years of animal care records. Their AI agent, Animal 360, enables keepers and veterinarians to quickly retrieve decades of animal care records through natural language queries. This innovative solution ensures accurate and efficient data access, enhancing the quality of care for wildlife.