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Databricks Ventures has invested in Omni—its first-ever investment in business intelligence 💥 Together, Omni and Databricks bring reliable AI-driven insights within reach of every user, regardless of technical skill. To learn why customers like BambooHR choose Databricks + Omni, check out this post by Jamie Davidson 🔗 https://lnkd.in/gf7RmHBp  

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Snowflake Horizon Data Lineage gives you a clear view of how data moves and connects across your business. 🌐 From keeping pipelines healthy to tracking sensitive data 🔍, teams are replacing third-party tools and seeing real impact—more trust, less cost, better decisions. Learn more: https://bit.ly/45546hZ

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Fast matters, and staying fast matters more. In BARC's inaugural cloud benchmark, Qlik Cloud Analytics completed more work with steadier response as teams and data scale: ~3× faster interactions and ~2× the throughput. Get the details and see why this is foundational for AI: https://bit.ly/4oEfBUD

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We've launched the dbt_semantic_view package, seamlessly integrating the Snowflake semantic view with dbt's disciplined workflow. This means you can now: - Centralize Metrics: Define key metric logic (FACTS, DIMENSIONS, METRICS) natively in Snowflake's semantic view for a single source of truth. - Enable CI/CD: Apply dbt's strengths (declarative YAML, testing, and version control) directly to your semantic layer definitions. - Ensure Governance: Automatically manage privileges and validate relationships to ensure every consumer, from BI tools to AI agents, uses trusted data. - Unify your governance framework and ensure consistent, high-performance metrics across your enterprise. Learn more and get started: https://lnkd.in/eZqiwT-g

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Most BD deals fail for one reason: there’s nothing to trade. The other side already has distribution, capital, and brand. What can you give them that they don’t? Databricks CEO Ali Ghodsi explains that Databricks had the missing piece in Microsoft’s portfolio: and that “giving gap” made all the difference.

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Qlik Acquires Upsolver to Enhance Real-Time Data Integration and Apache Iceberg Optimization Qlik, a global leader in data integration, analytics, and AI, has acquired Upsolver, a pioneer in real-time data streaming and Apache Iceberg optimization. The acquisition strengthens Qlik’s platform for open data lakehouses, enabling real-time data ingestion, cost-efficient optimization, and seamless integration for AI and analytics workflows. Key Benefits 1. Real-Time Ingestion: Integrates streaming sources like Kafka and Kinesis for faster AI and decision-making workflows. 2. Cost Optimization: Upsolver’s Adaptive Iceberg Optimizer reduces storage costs and improves query performance up to 5x. 3. Unified Data Management: A single platform to ingest, optimize, and govern Iceberg-based open lakehouses. 4. Open Ecosystem: Supports tools like Snowflake, Databricks, and AWS Athena for scalable and interoperable solutions. James Fisher, Chief Strategy Officer at Qlik, said, “This partnership builds on Qlik’s mission to simplify data complexity and deliver AI-driven insights efficiently.” Ori Rafael, CEO of Upsolver, added, “Together, we offer a powerful solution that helps organizations scale AI innovation with trusted and governed data.”

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Databricks’ latest AI governance and batch inference updates simplify security, compliance, and efficiency—while cutting costs. Our Doug MacWilliams sees the Genie API as a game-changer, making data analytics more accessible. Read more in this piece from Anirban Ghoshal and InfoWorld: https://lnkd.in/g7zdvkKi

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Altana is supercharging our #AI capabilities with Llama open-source models on the Databricks data intelligence platform. 🌐 Llama on Databricks helps us with sophisticated tariff code classification and mapping shipment data to over 10,000 customs tariff categories based on product types and graph features from our global supply chain map. These models are live in production with customers across industries and are constantly being refined, expanding the knowledge embedded in the system, and pushing the boundaries of what's possible with AI. Our Saurabh Khanwalkar shared more with AI at Meta here: https://lnkd.in/g2uQYUZX

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Databricks and Anthropic are partnering to offer Claude models and services natively through the Data Intelligence Platform, empowering enterprises to build high-quality AI agents. Databricks co-founder and CEO Ali Ghodsi recently sat down with The Wall Street Journal to discuss the new partnership. Read the full story: https://dbricks.co/3RtumuS

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One of the many ways Apex stays at the forefront of innovation as a Snowflake AI Data Cloud Services partner is by attending events and taking advantage of learning opportunities. Jim Meulendyke, Snowflake Alliance Director, and Mehmet H., Data Solutions Director, were energized by the momentum around Snowflake, AI, and data transformation at the Snowflake Summit last week. They were privy to impactful product announcements, industry updates, and platform improvements. We look forward to utilizing this new knowledge to enhance our Snowflake partnership abilities. ❄️ More on our Snowflake partnership: https://lnkd.in/dtp6QhQM #SnowflakePartner #Conference #Innovation #Partnership #AI

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On last night’s Q4 earnings call, Snowflake CEO Sridhar Ramaswamy described the impressive results they’ve generated through their focus on delivering “the world’s best end-to-end data platform, powered by AI.” 💡 As a Snowflake native application, it was especially exciting for us to hear the compelling description of the AI-enabled results RelationalAI client Blue Yonder is generating: "For example, supply chain leader Blue Yonder leverages Snowflake robust data management capabilities and scale to help companies transform their operations by offering AI powered insight." "The Blue Yonder platform processes over 20 billion AI predictions daily to help retailers, manufacturers and logistics providers better manage inventory, optimize delivery and respond to disruption." "It enables their business and their customers to access powerful supply chain intelligence that are deemed impossible to build on their own." ⚡ Global supply chains are under increased pressure as changes in US tariffs have escalated complexity and unpredictability. 💡 Reinforced by Nikolaos Vasiloglou, RelationalAI VP of Research ML during his exceptional 12 Days of NeurIPS talks, having modern AI systems capable of dealing with “large behavioral change” is critical:  "Sometimes your customers or the world has a large behavioral change, like a tariff or fraudsters who discover a new way to attack your system." "So now you have to have new features in order to deal with the new change in the world, or deal with this smarter fraudsters" (12 Days of NeurIPS). ⚡ 💡 As a result, legacy data and technology stacks are making it substantially more challenging for leaders to run simulations and what-if scenarios while those who have invested in developing intelligent applications are positioned to manage risk and capitalize on opportunities accordingly. 💡 Challenges RelationalAI is purpose-built to solve as described by Max De Marzi, RelationalAI Developer Relations Engineer during a recent LinkedIn Live Session “AI, Tariffs + Supply Chains…Oh My.” "So we're going to offer a new solution, which is we're going to solve our problem by building a relational knowledge graph." "Instead, we're going to take our relational data model in tables, and we're going to create this relational knowledge graph that's going to be made up of entities and relationships that are going to be named so that you have some semblance of how things are connected, and pipe it all together into what most people think of as a digital twin." Links to the content above in the comments below.

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Databricks set a new direction at the 2025 Data + AI Summit. The new mission is clear: build and deploy full-scale data and AI products on a unified, AI-native platform. Here’s what’s new: • Lakebase – Real-time workloads, fully integrated • Agent Bricks – Build, deploy, and manage AI agents • Lakeflow + Declarative Pipelines – From pipeline code to pipeline intent • Lakebridge – AI-powered onboarding, accelerated • Unity Catalog Metrics – Governed business metrics, centralized • AI/BI – Business intelligence with an AI-native interface • Databricks Apps – Serverless, data-native applications • Databricks One – Unified view of metrics, apps, and agents • Free Edition – No-cost access for small teams and prototyping We broke down what each launch means, and how they’re changing the way teams execute AI at scale. Get the details: https://hubs.li/Q03sMykq0 #DataAISummit #Databricks #Indicium #AIExecution #IndiMesh #ModernDataStack

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🛑 LIVE from the Databricks #DataAISummit keynote… Databricks co-founder and CEO, Ali Ghodsi shares how open formats are leading the way. At Atlan, we’re especially excited about open formats for metadata. That’s why our Metadata Lakehouse is built on Apache Iceberg: open, interoperable, and ready to work with your stack.

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As Sridhar Ramaswamy noted on Wednesday’s earnings call, Kumo is succeeding alongside Snowflake thanks to “a great product, a sales team that executes at scale, and the ability to introduce new initiatives…” Companies use Kumo to train predictive and embedding models directly on their data in Snowflake, without time-intensive feature engineering. Those models already power decisions inside business-critical applications that reach hundreds of millions of users globally. You can try Kumo for free as a Snowflake Native App: https://lnkd.in/dp6d-nnZ

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Exciting News! DataNimbus is thrilled to announce the launch of CyberAI, our next-generation cybersecurity solution built in partnership with Databricks. Powered by the Databricks Data Intelligence Platform, CyberAI delivers data intelligence at scale for security operations. It helps enterprises reduce costs, minimize false positives, and accelerate investigations—all on a cloud-native foundation. With this launch, we’re moving beyond the limits of legacy SIEMs to empower security teams with agility, intelligence, and open innovation. Discover how CyberAI is redefining the future of cybersecurity: https://lnkd.in/gPTxjMhG #CyberAI #DataNimbus #Databricks #AI #Cybersecurity #CloudNative

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Airflow execution just got smarter. In the latest episode of “The Data Flowcast: Mastering Apache Airflow® for Data Engineering and AI,” Ian Buss and Piotr Chomiak at Astronomer share how the Astro Executor and remote execution improve efficiency, scalability and data security for enterprise workflows. Click the link in the comments for the episode. #AI #Automation #Airflow #MachineLearning

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