[DEMO] Shift your organization from the old world of “tokenmaxxing” to the new era of “valuemaxxing” with Unity AI Gateway. At #DataAISummit#, Databricks Software Engineer @ankit_math showed how real-time budget policies can guide developers toward more token-efficient models, Omnigent can route work based on task complexity and quality needs, and centralized agent tracing in Unity Catalog can help teams govern usage and stay in control. Watch the full demo:

Big news: @GetRowZero is joining Databricks! 📊 We’re bringing a native, fully governed spreadsheet experience to Databricks Genie, combining the flexibility of spreadsheets with enterprise-grade security and lineage powered by Unity Catalog. Finance, operations, sales, and marketing teams will be able to work, model scenarios, and collaborate using standard spreadsheet logic without leaving their data and AI foundation. Welcome to the team, Row Zero! 🚀

Runaway AI spend can start with a retry loop or an uncontrolled agent experiment. AI Spend Controls in Unity AI Gateway help teams catch it early. Organizations can set budget alerts and hard spend caps by user, use case, workspace, or account. Combined with Databricks budgets and cost data logged to Unity Catalog system tables, teams gain visibility and accountability across models, agents, MCPs, and providers. Learn how to monitor, contain, and govern AI spend at scale:

Databricks CRO Ron Gabrisko on why AI models matters less than everyone thinks: "There are all kinds of new models now. OpenAI, Anthropic, plus a lot of open source ones. But it's not really about the strength of the model. The models are already smart enough. I ask them all kinds of questions, and they're as smart as I am. If not smarter. It's all about the context you give them. Your ability to connect a model to your proprietary data and your business context is what unlocks the outcomes. We were AI-first from the beginning. Ten years ago we were thinking about AI and machine learning before anyone else. That's why we built Unity Catalog to govern not just your data, but your models and notebooks. We always know what's relevant to answer a question."