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Most data teams think MAR pricing is predictable and manageable. You pay for rows that change, your pipelines keep running, and the monthly bill should be easy to understand. But teams on the pricing model learn the reality 6 months in. If you’re on the MAR model this is a must watch (before you get your next bill spike). Dan Murphy explains why MAR mechanics are designed to break.

At Snowflake Summit 2026, Gene Teare from Crunchbase and Harsha Kapre, Director at Snowflake Ventures, discuss their joint report examining AI investment trends and capital formation in the data ecosystem. Learn how the market has evolved from 2021's broad exuberance to concentrated investment in AI-ready infrastructure, governance, and agentic applications. Discover what signals indicate a startup is truly enterprise-ready versus experimental, and explore the next phase of capital formation in the agentic AI economy.

The real bottleneck is knowing what to build before you start. Pro tip from Senior Software Engineer Josh Ellis: treat every AI agent every AI agent like a junior dev he's onboarding: define the what, the how, and the hard limits upfront. The plan drives the output, not the other way around.

When AI operates outside the flow of work, it lacks the context and connectivity needed to drive meaningful business outcomes. Appian innovations over the last quarter are designed to bridge this gap by continuing to make it safe and easy to embed AI directly into end-to-end processes. Join Appian product experts for a deep dive into the latest platform features and see how to use new capabilities in your applications.