Patrick Wendell

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.

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).

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.

Nov 13, 2024 | databricks.com | Naveen Rao |Matei Zaharia |Patrick Wendell |Eric Peter

Monolithic to ModularThe proof of concept (POC) of any new technology often starts with large, monolithic units that are difficult to characterize. By definition, POCs are designed to show that a technology works without considering issues around extensibility, maintenance, and quality. However, once technologies achieve maturity and are deployed widely, these needs drive product development to be broken down into smaller, more manageable units.

Oct 8, 2024 | databricks.com | André Bueno |Patrick Wendell |Shanku Niyogi |Akhil Gupta

The fastest and most secure way to build data and AI applicationsDatabricks Apps, a new way to build and deploy internal data and AI applications, is now available in Public Preview on AWS and Azure. Ideal use cases include data visualization, AI applications, self-service analytics, and data quality monitoring. It supports Dash, Shiny, Gradio, Streamlit, and Flask app development frameworks. Automatic provisioning of serverless compute provides easy app deployment.