Databricks’ Post

We are on a mission to create the ultimate AI sidekick for all data and AI developers. With the power of the Data Intelligence Engine, the Databricks Assistant turns natural language into magic. Need SQL queries? Done. Python code? No problem. Error fixing? Piece of cake. Lakeview charts? Click of a button. The best of all? Full GA on all clouds. NO additional fees. Join us in revolutionizing the way you work with data and AI. #DataIntelligence #DatabricksAssistant

Missed our Data for Breakfast event? No problem! We've got you covered with our upcoming virtual event. Get ready to learn about the latest trends in data, cloud, and AI. Register now at https://lnkd.in/gwzE-KFH #snowflakedatacloudplatform #data #cloud #ai

🎙️ Thrilled to have shared insights on the power of data-driven approaches at last week's AWS Cloud Day 🚀 Data is shaping today's business landscape, and my talk highlighted real-world examples and practical tips for harnessing its potential. Let's connect and continue the conversation on driving success through #DataDriven strategies!

Snowflake Data Cloud Summit 2024: The biggest developments announced Snowflake's annual summit followed the trend of building data infra but with enhanced focus on on key aspect — enabling teams to build powerful AI applications with their data assets.Read More https://ift.tt/GbjuaZh https://ift.tt/XYvUxCi

Interest in generative AI has pushed businesses to move on data storage strategies, as more companies migrate from legacy vendors to the cloud. #GenAI #CloudBased #DataStrategy

Interest in generative AI has pushed businesses to move on data storage strategies, as more companies migrate from legacy vendors to the cloud. #GenAI #CloudBased #DataStrategy

💥 Every day is a gift. But some days are packaged better. Take the time to do what you love to do this weekend."😎🎯 Last night. I got the invitation from Nelly S.'s webinar, ‘"FinOps and cloud cost optimization for #ML_AI workloads, "to discover how to achieve full cloud resource usage transparency across all ML/AI experiments and minimize cloud and IT infrastructure costs. What we learned from this webinar: ✨Edwin-Alexander Kuss, Director of Global Sales at Hystax, will show you how OptScale, an open-source FinOps and MLOps platform, can be used for: ✨ ML/AI model #training profiling and a deep analysis of inside and outside metrics. ✨ Control performance and cost for every application or ML/AI experiment on a single pane of glass. ✨ Live anomaly detection and extensive functionality to avoid budget overruns. ✨ dozens of tangible recommendations, including utilising #Reserved/Spot instances and #Savings Plans, VM rightsizing, and instance family migration, help to achieve minimal cloud cost for ML/AI experiments and development ✨ Instrument #PaaS or external SaaS services, including #S3, Redshift, BigQuery, #Databricks,or Snowflake #API calls We will also schedule some time for a Q&A session to ensure we answer all of your questions. 📅 February 21 🕑10 am PST If you are interested, please register here https://lnkd.in/gNzBZbjP I look forward to e-meeting you there! FinOps and cloud cost optimisation for ML/AI workloadshystax.com

2️⃣ days until Alon and Violet and I talk about how VAST Data can help you invest in an AI-focused cloud platform that's a true #DataPlatform 🚀 Register below! 👇

Makes a lot of sense that we would win this... Organizations without Snowflake are leveraging our Snowflake architecture to replace Splunk, Datadog, New Relic at 50%+ cost reductions, while storing way more contextual data to help them troubleshoot fast. And those with Snowflake are able to do this plus achieve a unified data strategy by marrying their business and systems data all in Snowflake.

Thanks, Snowflake for the recognition. Machine data and business data can live in one cloud database platform - Snowflake. With this unification, Observe will help you understand your observability in the business context better than anyone else.