Databricks

Customers are already seeing the value in the new Databricks #GenerativeAI Engineer Associate certification, created to help companies and professionals master the skills needed to build and deploy GenAI applications. It’s the first of its kind, blending theory and practical use cases—no rote memorization, just real-world skills. Get certified: https://dbricks.co/4eKRzCt

LLMs are revolutionizing code generation, but ensuring accuracy with domain-specific tools like Spark SQL is vital. How can you effectively assess a model’s proficiency in these specialized areas? Discover how to synthesize tailored code tests for #LLMs, offering a precise way to evaluate performance across any coding library. https://dbricks.co/3TOZery

Newsweek names Databricks #4 to its America’s Top Most Loved Workplaces 2024 list ❤️ Our Bricksters are critical to our innovation, customer obsession and growth. This recognition reflects our commitment to fostering a supportive and purpose-driven environment. Thank you to all our employees who help make Databricks a great workplace! https://dbricks.co/3Y6bupP

GenAI holds a lot of promise - but what are today’s practical use cases for data engineering? In this virtual event, discover how AI-driven #dataintelligence is helping data engineers build faster, more reliable pipelines. You’ll hear from experts on how the Databricks Data Intelligence Platform is revolutionizing data engineering by leveraging conversational AI, unifying workflows, simplifying pipeline operations, and more. https://dbricks.co/3MVGXF4

90% of organizations are holding back on #GenAI due to concerns over accuracy, safety, and governance. This is what’s driving the shift from general knowledge to #dataintelligence. Naveen Rao, VP of AI at Databricks, and leaders from 7-Eleven, Providence, and State Street will show you how to build production-quality GenAI use cases. We're also thrilled to welcome Ash Jhaveri from Meta to lead a discussion on open source AI and the future of Meta Llama foundation models! Register here: https://dbricks.co/4dkoAEp

We are very happy to announce Unity Catalog 0.2 is now published! #UnityCatalog 0.2 includes new and updated features including ✅ Identity, Authentication, and Authorization: You can now configure the UC server to authenticate with an external identity provider ✅ ML Models: You can now store ML Models in UC and use them with mlflow>=2.16.1 ✅ Credential Vending: Expanded support for credential vending APIs ✅ Spark and Delta Integration: Support for operating on tables in UC using Spark 3.5.3 and Delta 3.2.1 ✅ User Interface: Support for a new UI for exploring UC including support login via Google Authentication This release was created by 63 contributors, with 31 new contributors!

Startups, are you using #GenAI to build innovative products and solve real-world customer problems? Want to get your product in front of Databricks, AWS, Andreessen Horowitz and IVP? Are you an entrepreneur or startup with a groundbreaking Generative AI use case built on Databricks? We're excited to invite you to the Databricks Generative AI Startup Challenge for early-stage startups. Participants have the chance to win over $1M in venture funding, exclusive resources, and other prizes. Expand your startup’s exposure, network and funding. https://dbricks.co/3XyvJuO

We analyzed data from 10,000 global Databricks customers and found that vector database adoption grew 377% YoY. The takeaway: enterprise #GenAI is all about customizing LLMs with RAG. This is just one of many findings uncovered in the State of Data AI. Read the full report to learn more about the latest #dataintelligence trends: https://dbricks.co/3zRrHWp

Databricks now supports Amazon EC2 G6 instances powered by NVIDIA L4 Tensor Core GPUs! This addition marks a step forward in enabling more efficient and scalable data processing, machine learning, and AI workloads on the Databricks Data Intelligence Platform. See how to get started: https://dbricks.co/4gDFO2E

Prada Group is transforming the fashion world with data intelligence ✨ By harnessing the power of the Databricks Data Intelligence Platform, Prada has created a single source of truth for the entire company, which operates over 600 stores in 70 countries. With #UnityCatalog providing access to clean data and implementing ML and #GenAI algorithms, the Data Science team at Prada Group can now focus on: - Forecasting models - Personalization - Marketing optimization This innovative approach redefines how Prada Group connects with customers and enhances their experience. Hear more insights from Anna Codispoti, Head of Data Analytics: https://dbricks.co/3XMIFxE