Databricks

Databricks is a company focused on data and artificial intelligence, assisting data teams in tackling some of the most challenging issues globally.

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#8662

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#3741

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#103

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Articles

Five Areas Where AI Agents Will Transform the Retail Industry

6 days ago | databricks.com | Sam Sawyer |Rob Saker

Imagine a future where decisions that once took days or even weeks happen in seconds, managed flawlessly by intelligent systems without human oversight. Perhaps it’s a store manager who previously spent up to 40% of their time sitting in their office reviewing reports. They now instead see an alert on their phone as they walk through the store, ask a question on that smartphone, and receive detailed guidance on how to act within minutes.
What’s new with Data Sharing & Collaboration

3 weeks ago | databricks.com | Darshana Sivakumar |Tao Tao |Zaheera Valani |Justin Fenton

Databricks enables organizations to securely share data, AI models, and analytics across teams, partners, and platforms without duplication or vendor lock-in. With Delta Sharing, Databricks Marketplace, and Clean Rooms, businesses can collaborate in real-time while maintaining data privacy and governance. Databricks continues to push the boundaries of data sharing and collaboration.
Machine Learning with Unity Catalog on Databricks: Best Practices

1 month ago | databricks.com | Lu Wang

Building an end-to-end AI or ML platform often requires multiple technological layers for storage, analytics, business intelligence (BI) tools, and ML models in order to analyze data and share learnings with business functions. The challenge is deploying consistent and effective governance controls across different parts with different teams. Unity Catalog is Databricks’ built-in, centralized metadata layer designed to manage data access, security, and lineage.
Innovators Unveiled: Announcing the Databricks Generative AI Startup Challenge Winners!

Dec 11, 2024 | databricks.com | Andrew Ferguson |Steve Sobel |Patrick Wendell |Naveen Rao

We are pleased to announce the winners of the Databricks Generative AI Startup Challenge, a competition held in collaboration with AWS to showcase the most innovative early-stage startups leveraging Generative AI on the Databricks Data Intelligence Platform. Our winners emerged from a strong group of applicants following a rigorous evaluation process by our panel of judges.
Introducing Databricks Generative AI Partner Accelerators and RAG Proof of Concepts

Dec 11, 2024 | databricks.com | Sidhtara Tep |Michael James Lumb |Christine Gauthier

In today’s rapidly evolving technology landscape, generative artificial intelligence (GenAI) is revolutionizing the way organizations work and is opening up new worlds of possibilities for businesses. According to a recent Economist report that surveyed 1,100 technical executives, data engineers, data scientists, and architects, only 37% believe their GenAI applications are production-ready.
Artificial Intelligence in manufacturing

Dec 4, 2024 | databricks.com | Josh Howard |Shiv Trisal |Caitlin Gordon

In recent years, artificial intelligence has transformed from an aspirational technology to a driver of manufacturing innovation and efficiency. Understanding both the current landscape and future potential of AI in manufacturing has become essential for strategic decision-making. Recent research shows the manufacturing sector generates over 1,800 petabytes of data annually—more than any other industry—creating both opportunities and challenges for AI implementation.
Build an Autonomous AI Assistant with Mosaic AI Agent Framework

Nov 26, 2024 | databricks.com | Ananya Roy |Patrick Wendell |Naveen Rao |Execute It.'

Large language models are revolutionizing how we interact with technology by leveraging advanced natural language processing to perform complex tasks. In recent years, we have seen state-of-the-art LLM models enabling a wide range of innovative applications. Last year marked a shift toward RAG (Retrieval Augment generation), where users created interactive AI Chatbots by feeding LLMs with their organizational data (through vector embedding).
Xcel Energy: Developing a RAG-based Chatbot on Databricks

Nov 25, 2024 | databricks.com | Shiv Trisal |Caitlin Gordon |Akhil Gupta |Oliver Chiu

"We are delving deeper into the capabilities of MLFlow tracing. This functionality will be instrumental in diagnosing performance issues and enhancing the quality of responses from our Customer Call Support chatbot. Additionally, we are working on several exciting projects, including establishing a feedback loop for our wildfire LLM and implementing more agent-based RAG initiatives.
Celebrating Innovation: Announcing the Finalists of the Databricks Generative AI Startup Challenge

Nov 20, 2024 | databricks.com | Andrew Ferguson |Steve Sobel |Patrick Wendell |Naveen Rao

We are thrilled to unveil the finalists for the Databricks Generative AI Startup Challenge, a competition designed to spotlight innovative early-stage startups harnessing the power of Generative AI on the Databricks Data Intelligence Platform. In collaboration with AWS, this challenge has attracted an impressive array of participants, all striving to push the boundaries of technology and solve real-world problems.
Introducing Structured Outputs for Batch and Agent Workflows

Nov 14, 2024 | databricks.com | Jeffrey Chen |Ahmed Bilal |Margaret Qian |Bay Foley-Cox

Many AI use cases now depend on transforming unstructured inputs into structured data. Developers are increasingly relying on LLMs to extract structured data from raw documents, build assistants that retrieve data from API sources, and create agents capable of taking action. Each of these use cases requires the model to generate outputs that adhere to a structured format.