Category: Engineering

In the fast-paced landscape of data science and engineering, integrating Artificial Intelligence (AI) has become integral for enhancing productivity. We’ve seen many tools emerge and transform the lives of data practitioners, making complex tasks easier and encouraging innovation. When we launched Databricks Assistant in Public Preview in July of 2023, we designed it exclusively for […]

Last year, we launched foundation model support in Databricks Model Serving to enable enterprises to build secure and custom GenAI apps on a unified data and AI platform. Since then, thousands of organizations have used Model Serving to deploy GenAI apps customized to their unique datasets. Today, we’re excited to announce new updates that make […]

In December, we announced a new suite of tools to get Generative AI applications to production using Retrieval Augmented Generation (RAG). Since then, we have seen an explosion of RAG applications being built by thousands of customers on the Databricks Data Intelligence Platform. Today, we are excited to make several announcements to make it easy […]

Teams at eBay regularly draw on the company’s decades of data from billions of listings to find customer insights that help them enhance their experience on the platform. Now sellers can tap into that same trove of sold items data right within eBay’s mobile app, using a service called Product Research that lets them research […]

Are you a U.S. college or university student with a knack for solving thorny problems using machine learning? Sign up for eBay’s annual University Machine Learning Competition and your skills could land you a 2025 summer internship at eBay. eBay serves up a unique ecommerce challenge and dataset for each year’s contest, inviting qualified students […]

In a tech-driven field, staying updated isn’t an option—it’s essential. At Grab, we’re committed to providing top-notch technology services. However, keeping pace can be demanding. At one point in time, our GitLab instance was trailing by roughly 14 months of releases. This blog post recounts our experience updating and formulating a consistent upgrade routine. Recognising the need to […]

The generative AI revolution is transforming the way that teams work, and Databricks Assistant leverages the best of these advancements. It allows you to query data through a conversational interface, making you more productive inside your Databricks Workspace. The Assistant is powered by DatabricksIQ, the Data Intelligence Engine for Databricks, helping to ensure your data […]

We recently made significant improvements to the underlying algorithms supporting AI-generated comments in Unity Catalog and we’re excited to share our results.  Through DatabricksIQ, the Data Intelligence Engine for Databricks, AI-generated comments are already generating the vast majority of new documentation for customers’ Unity Catalog tables, and recent enhancements help to make this wildly popular […]

Grab has an in-house Risk Management platform called GrabDefence which relies on ingesting large amounts of data gathered from upstream services to power our heuristic risk rules and data science models in real time. Fig 1. GrabDefence aggregates data from different upstream services As Grab’s business grows, so does the amount of data. It becomes imperative […]

We are excited to partner with Meta to release the latest state-of-the-art large language model, Meta Llama 3, on Databricks. With Llama 3 on Databricks, enterprises of all sizes can deploy this new model via a fully managed API. Meta Llama 3 sets a new standard for open language models, providing both the community and […]