What is Agentic BI and why does it matter?

❄️ Snowflake Cortex: Conversational AI for the Enterprise Snowflake’s new Cortex Agent moves beyond traditional BI and into the era of agentic AI—where natural language becomes the interface for enterprise data. 🔹 How it works → Plans & executes multi-step workflows (structured + unstructured data) Uses Cortex Analyst (SQL/BI) + Cortex Search (unstructured/documents) Generates charts, summaries, and SQL directly from user prompts Secure by design: role-based access, masking, auditability 🔹 For leaders → Accelerates decision-making with governed, explainable AI. 🔹 For developers → REST API with streaming responses (text, SQL, visualizations) makes it simple to embed into apps or chat UIs. This isn’t just incremental BI—it’s data intelligence operationalized. 📖 Full article here: https://lnkd.in/gkiRFx3K #Snowflake #Cortex #EnterpriseAI #DataStrategy #Analytics #AI

Delivering Agentic BI: How to Unify Infrastructure, Data and Semantics Whether you’re leading a data team or rewriting SQL queries and building dashboards, AI is fundamentally reshaping how organizations act on their data. Successful AI-powered business intelligence, or ”Agentic BI,” requires data intelligence, when AI understands the company’s data and its unique business concepts to truly unlock self-sufficiency and turbocharge productivity. - AI agents are fundamentally changing the way companies generate business intelligence. But without knowledge of each company’s semantics, AI agents are useless. - Instead, successful “Agentic BI” requires data intelligence, when the systems understand the company’s data and its unique business concepts. - Agentic AI requires three essential ingredients to be unified: infrastructure, data and semantics. Read More Here: https://lnkd.in/gk-Uv9PT #AgenticBI #DataIntelligence #LakehouseArchitecture #SemanticLayer #UnityCatalog #DataGovernance #AIDrivenBI #UnifiedInfrastructure #SmartAnalytics #NextGenAnalytics

Every marketer I talk to is excited about AI. But here’s the hard truth: AI is only as good as the data that powers it. That’s why we built Simon AI directly on Snowflake Cortex. Snowflake isn’t just the world’s most adopted data platform—it’s the most trusted foundation for performance, scale, and governance. Running natively inside Cortex means our AI agents work right where the data lives: no brittle pipelines, no black-box processing, just fast, transparent, in-place intelligence. My Simon Data co-founder and CTO, Matt Walker, just laid it all out in a fantastic Medium piece explaining exactly why Snowflake Cortex was the right base for us. Here are the key takeaways from his post: Governance without compromise. Every AI agent inherits Snowflake’s role-based access, column-level security, and audit trails, so nothing adds a new security perimeter or requires extra compliance efforts. Data stays in place, always. Whether for training, inference, or execution, your data never has to leave your Snowflake environment. That means enterprise requirements around data residency and sovereignty are met. See everything, avoid black boxes. AI operations are fully observable via Snowflake’s query history and resource monitors, giving marketers and data teams transparency into what’s running and how resources are being used. Unmatched access to all your data. Rather than relying on samples or exports, our agents can reason across customer data, product, financial, support, and third-party sources—all live, all real-time. Real-time reactions, no ETL lag. With Cortex AI and Snowflake Streams, agents operate on fresh, live data—support chats, transactions, behavior signals—and respond instantly with personalized activations. You can read Matt’s full write-up here: https://lnkd.in/eFF72BRs

Most AI stacks force you to choose between security, scale, or speed. You can't have all three. That's exactly why we built Simon Data's Composable AI Agents directly on Snowflake Cortex AI. We needed AI that could run securely on live data, at enterprise scale, without the usual compromises. After extensive evaluation, Cortex was the only platform that delivered everything without forcing us to move data, sacrifice governance, or accept black-box operations. Here's what this unlocks for marketers: 🔐 Zero-compromise governance - AI inherits all your existing Snowflake security and access controls 🏠 Data stays at home base - No movement, no copies, no new compliance headaches 👀 Full transparency - See exactly what's running via Snowflake's native observability ⚡ Real-time intelligence - Process fresh data as it lands, no pipeline delays 🎯 Complete data access - Reason across customer, product, support, and financial data simultaneously I just published the full technical breakdown of our architecture decisions and what we learned building agentic AI at enterprise scale: https://lnkd.in/gM_bZPC9 #AI #Personalization #Snowflake #MarTech #CustomerData

Tired of your business teams being disconnected from your data? 😩 It's a huge problem. Valuable insights are often locked away in complex platforms, leaving key decision-makers to operate on instinct instead of data. What if they didn’t have to? I’m thrilled to see the launch of Databricks One, a groundbreaking new product experience that gives non-technical users the power of the Lakehouse, no code required. This isn't just another dashboard tool. It’s a complete solution that empowers everyone to: ✅ Ask questions in plain English and get instant, visual answers. ✅ Explore data securely without needing an analyst to write a query. ✅ Make confident decisions powered by trusted, governed data. This is the future of data democratized. It's time to put the power of AI and analytics directly into the hands of the people who need it most. What would it mean for your business if every employee could access and use your data? #Databricks #DatabricksOne #AI #DataAnalytics #BI #DataDemocratization #Lakehouse#dataintellignece #businessintelligence Read the full announcement to see what’s new, what’s next, and how to get started 👇

⚡️AI + Metadata = Smarter Pipelines Data teams are constantly asked to move faster and stay compliant. Too often, speed and trust feel like a trade-off. That’s why we’re excited about what Atlan’s new App Framework unlocks for Maia, Matillion’s agentic AI data team. By connecting Maia directly to trusted business context, organizations can: ✅ Build pipelines in minutes, not days ✅ Ensure every dashboard aligns to certified metrics ✅ Apply governance automatically, by design And it doesn’t stop there – with a two-way connection, Maia could also feed real-world lineage and usage back into Atlan, creating a data productivity flywheel where every new pipeline makes the ecosystem smarter. We explore the full potential in our latest blog → http://bit.ly/4gO5Bpn #DataEngineering #AI #Governance #Metadata #Matillion #Atlan

Good read if you are interested is using your own umstructured data to ground your AI Apps - in this case Databricks Genie and AI/BI 7-Eleven transformed how teams access and trust their data by automating the migration of thousands of metadata definitions with agentic AI on the Databricks Data Intelligence Platform. By streamlining Confluence-to-Databricks documentation with Mosaic AI and AI/BI Genie, what once would have taken months of manual work was completed in days—improving accuracy, unlocking real-time BI, and enabling more reliable insights at scale. This automation is helping 7-Eleven bridge the metadata gap and realize the full potential of AI-powered decision-making.

Snowflake’s Cortex AISQL brings AI into your data warehouse no extra layers. From sentiment analysis to image similarity and summarization, AISQL can do it. Sticking to SQL? That’s all you’ll need to write powerful, AI-backed queries. Perfect for unlocking hidden insights in text, visuals, and structured rows. Simple, scalable, and smart—data strategy just got a major boost. See how in our deep-dive blog. https://lnkd.in/gH7zShyd #smartanalytics #snowflakeAI #generativefunctions #dataplatform #innovation #celestinfo 

Today, we're officially launching the new Data Science Agent into beta! We're moving beyond a helpful copilot to a true autonomous partner. Integrated directly into Notebooks and the SQL Editor, the Data Science Agent can plan, execute, and refine entire workflows across the data science lifecycle. What does this mean for you? The agent can handle: 🔹 Exploratory data analysis 🔹 Feature engineering 🔹 Model training and tuning 🔹 Model evaluation This is the first of many AI Data Agents we're building to accelerate your journey from data to insights. #Databricks #AI #DataScience https://lnkd.in/eDx-7dXz

This. Agent Bricks is a game changer - the model evaluation and judge declarative framework makes it so easy for companies and teams to deploy quality agents that are actually tweakable for quality and cost through a few knobs vs coding. AI functions are mind-blowing - convert text to SQL - what??! Use it to translate unstructured into structured. And with MLflow 3, Databricks continues to deliver on its promise of a unified full‑stack development platform for both GenAI and ML, making experimentation to production smoother than ever.