Databricks

Now GA: materialized views and streaming tables on Databricks SQL. Create efficient and scalable data pipelines – from ingestion to transformation – using just Databricks SQL. Available on AWS and Azure. Learn how these tools empower analysts and analytics engineers to deliver data and applications more effectively within the DBSQL warehouse. https://dbricks.co/3UFClXX

Tired of struggling with unstructured text data across millions of documents? Databricks makes it easy to scale and automate #LLM inference. With batch inference on #MosaicAI Model Serving: - Run large-scale inference on governed data without manual exports or complex -infrastructure. - Process millions of rows using familiar SQL queries. - Easily integrate preprocessing, inference, and post-processing into a unified workflow. Learn more: https://dbricks.co/48pltdx

#DatabricksAssistant is your context-aware AI assistant that lets you query data through a conversational interface. For Data Engineers, Databricks Assistant helps eliminate tedium, increase productivity and immersion, and accelerate time to value. How can you get the most out of AI-assisted data engineering? Read these tips & tricks: https://lnkd.in/gaTg-nAV

We recently introduced two new features in AI/BI Genie to help build confidence in the accuracy of provided insights: - Benchmarks: Genie authors create test questions to track accuracy as they update their Genie space’s instructions and settings. - Request Review: End users request Genie authors verify or correct responses, and then receive confirmation. See for yourself: https://dbricks.co/3YIMCoK

Join us to examine how real-world AI is helping data engineers build stronger, more reliable data pipelines faster. We’re thrilled to feature a lineup of expert speakers from Databricks, Informatica, Lexmark, and Mahindra Group as they explore how data intelligence is revolutionizing data engineering. Topics we’ll cover include AI-generated code, how to unify ingestion, transformation and orchestration, and more. Register here👇 https://dbricks.co/3AaaM1Z

🎃🍬 There’s no treat like Mars Wrigley using data-driven decision making to build a great consumer experience for a global market. Databricks helps Mars Wrigley address scalability issues and provide personalized purchasing opportunities to customers across the globe. Dive into their sweet success story: https://dbricks.co/3YphZTH

Databricks VP of AI Naveen Rao shares what it takes to transition from engineering to entrepreneurship, and his experiences with Mosaic AI in conversation with Walter Thompson on the Fund/Build/Scale Podcast. “For these deep technology shifts, it really comes down to can you challenge assumptions, dogma within a field, and do you think it’s actually realizable.” Listen to more insights: https://dbricks.co/48v0yWk

At Money 20/20, Arsalan Tavakoli joined Greg Ulrich, Chief AI and Data Officer at Mastercard on stage to discuss the evolving landscape of financial services. Key takeaways: - Many organizations are still in the early stages of integrating GenAI - with their eyes on production. - There’s a big emphasis on identifying where value can be derived from data and AI. - Firms are seeing ROI in efficiency use cases and are leveraging recommendation engines to enhance customer experience If you’re at #Money2020, stop by our booth to learn more about the Databricks + Mastercard collaboration.

Thrilled to announce a new collaboration with Dun & Bradstreet that brings their industry-leading commercial data on hundreds of millions of businesses to #DatabricksMarketplace! Dun & Bradstreet’s unparalleled data is now available through Databricks Marketplace via Delta Sharing. This allows clients to access comprehensive business records and risk information directly within their existing systems, and the integration supports data recency and monitoring capabilities to enhance data and AI strategies. Learn more: https://dbricks.co/4flRWDH

Congratulations to Mastercard on the launch of their new digital assistant for customer onboarding! This is a great example of enterprise AI for practical applications, and we’re thrilled to be part of supporting the rapid development of knowledge agent tools. Designed to simplify customer onboarding, Mastercard’s new digital assistant: - Automates routine tasks and answers customers’ critical questions during onboarding utilizing an LLM with RAG and fine-tuning - Uses Mastercard’s existing onboarding documentation as its knowledge base - Employs a human-in-the-loop approach to integrate feedback from SMEs, reinforcing continuous learning and ensuring accuracy in the agent’s responses - Is continuously trained on Mastercard’s trusted, proprietary datasets – while always operating under the company’s rigorous AI and data governance principles Meet Mastercard’s new digital assistant: https://dbricks.co/3YIfNs0