Databricks, the lakehouse company, is launching Databricks Model Serving, a solution aiming to streamline the management and scaling of production machine learning (ML) within the Databricks Lakehouse ...
Databricks customers can now run their machine learning models directly from the vendor’s platform, eliminating the need to manage and maintain separate infrastructure for ML workloads like product ...
Databricks, the lakehouse company, announced the launch of Databricks Model Serving to provide simplified production machine learning (ML) natively within the Databricks Lakehouse Platform. Model ...
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More San Francisco-headquartered Databricks, which provides a data lakehouse ...
Data analytics developer Databricks Inc. today announced the general availability of Databricks Model Serving, a serverless real-time inferencing service that deploys real-time machine learning models ...
eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...
Databricks, the leading Data and AI company, made significant announcements at the Data + AI Summit. The newly introduced Lakehouse AI enables customers to develop generative AI applications, ...
A top data science implementation company is teaming up with OpenAI to create a new way for enterprise users to build artificially intelligent agents. The Databricks Agent Brick, deployed on the ...
Snowflake and Databricks are surely similar companies. While each positions itself a bit differently, both provide data storage, processing and governance in a cloud context. Both are holding customer ...
Organizations can improve performance and reduce costs by replacing the stock Databricks Runtime for Machine Learning libraries with versions optimized by Intel. Here’s how to get started. Getting the ...
If you wanted to raise the profile of your major tech company and had $10 million to spend, how would you spend it? On a Super Bowl ad? An F1 sponsorship? You could spend it training a generative AI ...