Blog

Optimizing labeling operations: People and processes

How to hire your labeling operations team, find your vendors, and optimize your labeling processes.

Announcing Labelbox on Databricks Partner Connect

Today, we are thrilled to announce that Labelbox is a launch partner in the Databricks Partner Connect portal.

How to optimize your entire ML pipeline

Labelbox has partnered with Snowflake, Databricks, DataRobot, and Google Cloud Platform (GCP) to ensure seamless connections as teams store and manage data as well as train and deploy their models.

Lessons for AI builders from Accelerate 2021

Accelerate 2021 featured speakers from ARK Invest, the United States Navy, NASA/JPL, Genentech, Stryker, and many more.

How to get the most out of your labeling operations

Teams that monitor and refine their labeling operations realize significant savings in time and costs, and can more accurately estimate future requirements.

New study finds that non-expert labeling teams can create high quality training data for medical use cases

Imperial College London’s BioMedIA research group and the iFind Project set out to challenge the assumption that only those medical training can provide quality annotations for clinical deep learning models.

3 Key Takeaways from Labelbox & Databricks' session at AWS Dev Day

Labelbox presented during AWS Dev Day alongside Databricks on how ML teams of any size can use Databricks and Labelbox to build a robust ML pipeline.

Building a better AI data engine

On Monday, July 12th, Labelbox CEO and Co-founder Manu Sharma will be presenting a keynote session at VentureBeat Transform.

Simplify workflows with the Labelbox SDK

It’s now easier than ever to get started with our SDK thanks to simplified documentation and a set of new tutorials.

Productionizing unstructured data for AI & analytics: 3 key takeaways

At the Data + AI Summit last week, Labelbox launched a connector between Labelbox and Databricks.