Ezra Uzosike

Kumo helps data scientists build highly accurate predictive AI models that predict user and customer behavior by combining graph learning over enterprise data and generative AI models trained on public data—all entirely within Snowflake. If you want to create better machine learning models faster with Kumo, try our Snowflake Native App now. 🔗 You can request a free trial at the following link: https://hubs.ly/Q02HgQ1P0. If you need additional support and more details, contact us. We'd love to get in touch with you and help you query the future: https://hubs.ly/Q02HgGvG0. #AI #MachineLearning #PredictiveModels #DataScience #GraphLearning #GenerativeAI #Snowflake #TechInnovation #KumoAI #FutureOfData

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Data scientists: Are you spending too much time wrangling data instead of driving insights? Our white paper explores how combining Snowplow and dbt can revolutionize your data modeling workflow. Learn how to: 🧩 Design flexible data models that evolve with your business 🚀 Build, test, and deploy models efficiently 🔍 Unlock deeper behavioral insights from your data Learn how to take your data strategy to the next level by downloading the white paper now: https://lnkd.in/euqMeYsR #DataScience #Analytics #DataModeling #ModernDataStack"

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Data quality is the next big enterprise problem. 91% of companies say they need to improve it. Luckily, AI can help. That's why Anomalo just won the Databricks Emerging Partner Of The Year award! Their AI can detect data issues before they screw up your business. If data is gas in the modern economy, Anomalo not only measures your octane -- it can also identify what's polluting your oil. Congrats to all the "Anomallamas" including Elliot Shmukler and SignalFire XIR Doug M. from Splunk who joined alongside us leading the Series B. Thanks for helping the world trust its data! https://lnkd.in/geqZQ6PN

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Using Kumo.AI in your Snowflake environment is like peanut butter and chocolate - better together! Check out this webinar to learn more.

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Are you tired of fragmented monitoring dashboards that hinder quick decision-making? You're not alone. Many developers struggle with the same issue. That's why we introduced our unified dashboards, designed to provide a comprehensive overview of your data. With our dashboards, you'll be able to consolidate data from various sources into one interface, making it easier to identify trends and patterns. Discover the power of unified dashboards with Anomalo. https://bit.ly/44OTvWV #UnifiedDashboards #DataVisibility

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Unmanaged instances of approved apps like Snowflake and AWS are another facet of shadow SaaS. These "shadow instances" are problematic since they can't be identified via network-based or browser-based SaaS detection methods. Nudge Security uncovers these shadow instances along with who created them so you can bring them under central governance and ensure proper security. Learn more here: https://bit.ly/3VQEmBu #iam #grc #ciso #infosec

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Gemini in BigQuery changes the game for data engineers and analysts! More productivity ✔️ Improved query performance ✔️ Optimized costs throughout the analytics lifecycle—from ingestion and pipeline creation to deriving insights with AI ✔️ #GoogleCloudNext

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For those who missed the Snowflake Data Summit keynote; here’s my GeneAI summarization :-) 1) Sridhar the new Snowflake CEO is smart as a pup and amazing academic and career pedigree, but has very little charisma or public speaking skills. Hope he improves on the latter over time. 2) Jensen zoomed in for his Keynote because he is still in Taiwan for Compudex. Jensen has labeled Taiwan the heart of GenAI Compute, all of Nvidia (and AMD)’s major suppliers are in Taiwan. It’s amazing this little island the size of California holds the future to AI. 3) Snowflake and Nvidia announced their partnership. Basically it’s combining Snowflake LLM Datastore with Nvidia LLM training and inference/generate. This is revolutionary. Snowflake pioneered the separation of compute from storage in massive EDWs, and now the circle is completely with bringing Nvidia compute training and inference/generation close to storage, eliminating bandwidth cost, latency and data policy/privacy issues. And as someone with Information Retrieval background, I see GenAI has come full circle with RAG - it’s just Precision/Recall, attributes vectorization as “embedding”, K-Nearest Neighbor, User Search Intent, DAG, ML algorithms, etc all over again. Except this time with supercharged GPU SoC that is improving at 16x Moore’s Law. We live in exciting times.

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🙌 RelationalAI acknowledged in Snowflake’s earnings report yesterday! In the Snowflake Q1 2025 earnings call, RelationalAI received a special mention. It’s truly an honour to be recognized alongside other industry leaders, like Blue Yonder, as part of the Snowflake partner ecosystem, bringing new capabilities and new use cases for Snowflake’s customers. RelationalAI, the knowledge graph coprocessor for Snowflake’s data cloud, aims to power every decision with intelligence. 🙏 We are grateful for the opportunity to partner with Snowflake and contribute to their enterprise AI data platform! To learn more, check out their full earnings report here. https://lnkd.in/gw2fyTAA #RelationalAI #Snowflake #BlueYonder #EnterpriseAIDataPlatform #KnoweledgeGraph #Grateful

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What is one of the most important roles a Chief Data Office can have? Well, a chief data officer is a good one, but what about the data evangelist? Now, we need one who is free to go throughout an organization. Take a read on the link I have attached, which is to my latest Substack: The Data Evangelist. The reality is, a chief data officer may not have the time to be an evangelist and/or salesperson for data, nor they may not have the skills to do so. For data, analytics, and AI to work, an organization needs people to really buy in. Not just want data, analytics, and AI, but buy in with investment and time. To do that, we need everyone to really understand what it takes. Unfortunately, an organization can't just hire people and tools and think it is going to work. Instead, you need a compelling vision and good culture. In steps that Data Evangelist...they may be the best friend of the CDO. Take a look at my latest Substack. Stay nerdy, my friends. #dataliteracy #datastrategy #CDO #Chiefdataofficer #AILiteracy #AIStrategy #dataevangelist https://lnkd.in/gdiSJui5

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🛑 Data lakehouse promises the best of both data lakes and warehouses. Yet, many still transfer data to traditional warehouses, complicating processes and increasing costs. Sida Shen's latest article explores how optimizing lakehouse architectures can eliminate these inefficiencies, enhance data integrity, and enable real-time analytics directly on the lakehouse. https://lnkd.in/gsCwzsGS #DataAnalytics #DataEngineering #DataLakeAnalytics #DataLake #DataLakehouse

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Exciting news! Snowflake has unveiled a cutting-edge system for large language models, featuring the powerful Llama 3.1 405B from Meta. This innovation brings a new level of efficiency and capability to AI applications. At 7Rivers, we're excited to harness this technology, enhancing our Data-Native™ approach to deliver unparalleled AI solutions for our clients. Our commitment at 7Rivers is to drive business value through use of intelligent data and advanced AI. Snowflake's latest offering, which allows real-time AI processing with minimal infrastructure, perfectly complements our mission. This advancement enables us to provide our clients with scalable, cost-effective AI applications, enhancing operational efficiency and driving impactful outcomes. The integration of Meta’s Llama 3.1 405B within Snowflake Cortex AI aligns with our Data Native™ Model, empowering us to create transformative solutions, optimizing processes, and creating a competitive advantage. Together with Snowflake, we're revolutionizing data usage to create intelligent, augmented business experiences. #AI #DataNative #7Rivers #Snowflake #GenerativeAI #BusinessTransformation

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Always nice to see approachable and easy-to-follow guides for data engineering beginners. 👍 After introducing how to build your first data platform using MySQL, Apache Doris, and Apache Flink, Mohamed Amine Turki moves a little upstream and explains on Change Data Capture (CDC) with step-by-step instructions. https://lnkd.in/g9igQNjY (P.S. Apache Doris provides a Flink-Doris-Connector with built-in CDC support: https://lnkd.in/gmPESd3V) #dataengineering #beginner #Flink #CDC

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Join SqlDBM for a live demo on Transformational Modeling (Tx) in Snowflake on Wednesday, July 17th at 9 AM PST! Key Features: ✅ Easy data transformation with templates. ✅ Full control over data creation and loading. ✅ Integrated relational modeling to save time. 💡 Q&A with Snowflake SuperHero Serge Gershkovich. Register below! #DataModeling #TransformationalModeling #Snowflake

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Want to build a real-time data pipeline with Kafka and Snowflake? ️Blue Orange shows you how! This three-part series dives into building a powerful Change Data Capture (CDC) pipeline to replicate your Postgres databases into Snowflake in real-time. Learn how to: 1. Deploy Confluent Kafka on Kubernetes (even on your local machine!) 2. Automate table replication, schema evolution, and deduplication 3. Turn your data into a high-performance data lake Don't miss this step-by-step guide for building a robust and scalable data pipeline! https://lnkd.in/eTfVUdjC #Kafka #Snowflake #CDC #DataPipeline #Kubernetes #Postgres #RealTimeData #StreamFlake

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Learn how citizen developers can use use Superblocks to build visualize dashboards on top of Snowflake's Cortex AI!

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