Databricks

7-Eleven built a multi-purpose agentic marketing assistant that assumes different personas. Sailesh Bharathwaaj Krishnamurthy, Head of AI Center of Excellence, is joining #DataAISummit to share how the team did it. Explore their framework for a multi-purpose assistant, with assistance from LangGraph and Mosaic AI. Experts will also explain the evaluation methodology in choosing models and prompts‚ and how they implemented guardrails for high reliability with sensitive marketing content. Register now: https://lnkd.in/g7q9TR6k

We recently rolled out new updates that make DLT pipelines faster, more intelligent and easier to manage at scale ⚡ First up: DLT + Unity Catalog integration is now GA – bringing fine-grained access control, data lineage, row-level security and simplified compliance. Also new: ✅ Performance updates for faster development and debugging ✅ Write streaming data to any batch-compatible sink with foreachBatch support ✅ Observability enhancements like query history and Run As for DLT pipelines Learn more: https://lnkd.in/gifQcV_S

Thirty days left! Join us in San Francisco for #DataAISummit — the premiere, global event for data practitioners, leaders and visionaries. ➡️ Choose from 700+ technical sessions covering the latest in data engineering, data science, AI/ML and more ➡️ Connect with leaders and experts to share insights and research ➡️ Up-level your skills with training and certification ➡️ Hear from leaders at the world’s most innovative companies Register to join June 9 - 12: https://dbricks.co/4cH51aH

It’s time data engineering got a little easier. Matei Zaharia, Co-founder and CTO of Databricks, explains how to simplify and automate many of the tasks that bog down engineers. Hear how you can: - Simplify data integration across any open data format, any data source - Govern data pipelines with automated monitoring, lineage and observability - Automate tasks like data documentation, code generation and platform optimizations Thanks to experts Jason Reid, Co-founder of Tabular, Geoff Freeman, Director of Data Engineering at T-Mobile, and Kelly Kohlleffel, Sr. Global Director at Fivetran, for sharing practical ideas for data engineering. Watch on-demand: https://dbricks.co/40U9Itp

SWE-bench and SWE-agent are groundbreaking tools for evaluating and enhancing AI in software engineering. Princeton University Computer Science PhD Candidate Carlos E. Jimenez and Research Software Engineer Kilian Lieret Ph.D. share insights on: - AI tools in software engineering - Overcoming agent limitations, such as getting stuck in loops - The future of AI-powered code reviews Watch the full episode of #DataBrew: https://dbricks.co/3YpoYNm

Migrating your enterprise data warehouse doesn't have to be risky. This new guide shares a proven framework for low-risk migrations to a fast, open data warehouse. Our customers are already using this approach to unlock advanced analytics, ML and AI. Read here: https://lnkd.in/gzvDWvsu

We're excited to introduce a collaboration with Atlassian that unlocks new data sharing capabilities from Atlassian Analytics! Powered by Delta Sharing’s open protocol, Atlassian customers can securely access and analyze their data from the Atlassian Data Lake with the tools of their choice. This new data share feature opens up practical use cases: BI integration, custom data workflows, cross-team collaboration and more. https://lnkd.in/guSD9RSE

AI/BI, Databricks SQL, MLflow, LLMs – deep dive into topics that elevate your work with our #DataAISummit trainings & certifications. Whether you’re looking to build foundation knowledge or level-up your skill set, we have a training for you! Register now – space is limited: https://dbricks.co/4cH51aH

Databricks CIO Naveen Zutshi shares insights with Forbes on how AI-centric, human-led strategies are driving real impact in bioengineering, medical imaging, climate science and more. “The real world and the people who call it home are ultimately going to be the key for AI to reach its full potential,” says Zutshi. Check out the full article: https://lnkd.in/g-dYXEdA

You’ve probably heard how Databricks Assistant helps data engineers – but it also solves common challenges for SQL and data analysts. From generating SQL queries to explaining complex code and fixing errors. Here are 5 tips to help analysts use Databricks Assistant and get more accurate responses, smoother iterations and improved efficiency 👇 https://dbricks.co/4d7WQo3