The Amazon Corretto team delivers more than 75 OpenJDK bundles for various platforms and Java versions. These builds include the AWT and Swing UI libraries. Since a button needs to look like a button after a Java update, and even the smallest change can have a significant impact on how graphical elements are rendered, we […]
Arctic: Automated Desktop Application Testing Read More »
From retail to gaming, from code generation to customer care, an increasing number of organizations are running LLM-based applications, with 78% of organizations in development or production today. As the number of generative AI applications and volume of users scale, the need for performant, scalable, and easy to use inference technologies is critical. At Google
From LLMs to image generation: Accelerate inference workloads with AI Hypercomputer Read More »
Ben Popper chats with CTO Abby Kearns about how Alembic is using composite AI and lessons learned from contract tracing and epidemiology to help companies map customer journeys and understand the ROI of their marketing spend. Ben and Abby also talk about where open-source models have the edge and the challenges startups face in building
Using AI to find patient zero in marketing campaigns Read More »
We’re excited to announce that the AWS Deploy Tool for .NET now supports deploying .NET applications to select ARM-based compute platforms on AWS! Whether you’re deploying from Visual Studio or using the .NET CLI, you can now target cost-effective ARM infrastructure like AWS Graviton with the same streamlined experience you’re used to. Why deploy to
Deploy to ARM-Based Compute with AWS Deploy Tool for .NET Read More »
At Google Cloud Next 25, we announced a major step forward in geospatial analytics: Earth Engine in BigQuery. This new capability unlocks Earth Engine raster analytics directly in BigQuery, making advanced analysis of geospatial datasets derived from satellite imagery accessible to the SQL community. Before we get into the details of this new capability and
Expanding BigQuery geospatial capabilities with Earth Engine raster analytics Read More »
BigQuery delivers optimized search/lookup query performance by efficiently pruning irrelevant files. However, in some cases, additional column information is required for search indexes to further optimize query performance. To help, we recently announced indexing with column granularity, which lets BigQuery pinpoint relevant data within columns, for faster search queries and lower costs. BigQuery arranges table
New column-granularity indexing in BigQuery offers a leap in query performance Read More »
This post explores crucial lessons learned in the trenches of data licensing, drawing insights from Stack Overflow and the growing importance of socially responsible data practices in a changing internet landscape.
Best practices third-party data acquisition: powering AI context Read More »
The world has changed a lot since Stack Overflow started. It’s time for our brand to change with it.
A new look for what’s next Read More »
How can engineering teams move beyond traditional metrics like velocity to create real business impact?
Moving beyond velocity: Measuring real business impact Read More »
In the AI era, where data fuels intelligent applications and drives business decisions, demand for accurate and consistent data insights has never been higher. However, the complexity and sheer volume of data coupled with the diversity of tools and teams can lead to misunderstandings and inaccuracies. That’s why trusted definitions managed by a semantic layer
How Looker’s semantic layer enables trusted AI for business intelligence Read More »
